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LG accused of 'egregious invasion of privacy' over TV data collection
LG is once again fending off allegations that its expensive consumer hardware gathers extensive information about users and their surroundings for the benefit of its advertising business. The latest concerns center on smart TVs that researchers claim continued capturing audio after voice recognition was activated, including while the display was in standby. The claims once again come from the folks behind the Gamers Nexus YouTube channel, which also claimed in July that LG's monitors were surreptitiously installing adware using an automatic Windows process. After inspecting the TVs' network traffic and internal data, editor-in-chief Stephen Burke said the team found plaintext transcripts generated from audio captured by the TV, along with other information. The Gamers Nexus crew said it observed the TV collecting IP addresses, location data, and the names, signal strengths, and channel numbers of nearby Wi-Fi networks. The TV also enumerated devices on the local network that were not paired with it, including smartphones, watches, routers, thermostats, air purifiers, server baseboard management controllers, and PCs. Burke added that Wireshark packet capture analysis revealed such a large quantity of private data that it couldn't be displayed in the video, and that this was all native behavior from LG's equipment. He said the findings represented "an egregious invasion of privacy." Burke and company also claimed that the TVs could continue capturing audio while disconnected from the internet, store it locally, and transmit related data after connectivity was restored. Burke said the team was working with security researchers to disclose vulnerabilities responsibly, including an alleged remote code execution flaw. The Register has asked LG for comment. LG previously told other publications that its TVs do not "collect, record, or store ambient conversations," and that voice recognition is an optional feature that processes voice data only when activated by the user. LG's relationship with ads LG does not hide the fact that its hardware incorporates technology from its advertising business, LG Ads Solutions. In 2022, it announced that automatic content recognition (ACR) technology previously limited to its US smart TVs would be deployed in sets sold across 27 countries, with the resulting insights available through its advertising business. LG said the ACR data was anonymized and handled in accordance with privacy regulations. Its advertising customers could use the resulting insights to measure campaign effectiveness and whether an ad led to registrations for an app or service. LG is not alone. Most major smart TV manufacturers deploy some form of ACR in their hardware, although the controls available to users vary by vendor. The source of so much frustration, however, is that manufacturers are not forthcoming with consumers at the point of purchase about the extent to which their data is collected or how. Generating audio transcripts while the display is in standby is not something LG highlights in its product descriptions or marketing materials. According to Gamers Nexus, however, that is what its testing uncovered. Instead, the company's website describes its TVs' voice features using terms such as "Intelligent Voice Recognition" and "Clear Voice Pro." Customers who go digging for more details must navigate to an "LG Privacy" link most of the way down a lengthy product page. From there, they must sift through four links to understand its privacy policies more fully, although neither the documents nor the main product page references LG Ads Solutions. Gamers Nexus claims LG sends all the data its hardware collects to the ads unit, which claims in its marketing materials that customers can "own the living room," having their ads appear on devices inside "the connected LG household." LG Ads Solutions' official fact sheet, which predictably requires you to enter your personal and contact details to access, states that there are 49 million LG TVs in the US powered by its webOS, but the company's total reach extends to 363 million "addressable secondary devices." To potential customers, it promises "precision targeting at the device level, across households." ACR and other data-collection technologies have become commonplace across the smart TV market. Research suggests that many consumers are willing to trade their data for tangible financial savings, but the privacy implications are compounded when you consider these devices can be found mounted in boardrooms and doctors' offices. Twice bitten The allegations come less than two months after Gamers Nexus reported that connecting certain LG monitors to an online Windows 11 PC could trigger installation of the LG Monitor App through Windows' device metadata system. The behavior depended on the user selecting Recommended Settings during Windows setup and being signed into the Microsoft Store. As we reported at the time, the LG Monitor App Installer has limited utility and displayed pop-up promotions for McAfee. LG told us: "LG Electronics reiterates that McAfee is not installed automatically and is never installed without the user's explicit consent." ®
theregister.comSep 8, 2026extracted
Iranian Hackers Pose as Recruiters to Deliver Cross-Platform RATs Through Coding Tests
The Iranian Nimbus Manticore hacking group has been attributed to two previously undocumented malware families that highlight the continued evolution of its toolset and likely expand its targeting footprint to infect Linux and Apple macOS systems using cross-platform remote access trojans (RATs) developed using Node.js and JavaScript. Russian cybersecurity company Kaspersky is tracking the malware strains under the names NodeRabbit and PollCat. The first sample of NodeRabbit was discovered on a system in Afghanistan, with subsequent sightings on two distinct machines located in Egypt and Ethiopia. "Its operators deliver [NodeRabbit] through spear-phishing messages on LinkedIn and other job search platforms that contain trojanized coding challenge archives," Kaspersky security researcher Omar Amin said. "Like NodeRabbit, PollCat is a cross-platform RAT, but it is written in obfuscated JavaScript also distributed through trojanized coding challenge archives." While Nimbus Manticore has historically employed malware written in C, C++, and Go, and relied on DLL search-order hijacking techniques to deploy them, the latest findings mark the threat actor's foray into cross-platform tools to accomplish its goals. The development also comes amid a rapid expansion of the hacking group's malware arsenal in recent months, including - A Windows backdoor called NightLedger Two custom WebSocket tunnelers, BridgeHead and ArcBridge A reverse SSH tunneling tool A backdoor that shares overlaps with TWOSTROKE The starting point of the suspicious activity observed in the Afghanistan-based system starts with a ZIP file ("Front-Technical-Challenge.zip") hosted on AWS that's assessed to have been delivered as part of a job opportunity for an engineering role. The threat actor is said to have masqueraded as a talent acquisition specialist at a major technology company to approach a software engineer and invited them to complete a technical assignment. It's worth noting that Nimbus Manticore is also tracked under the moniker Iranian Dream Job for its use of recruitment-themed lures to trick prospective targets into infecting their own computers, a tactic long adopted by the North Korea-linked Lazarus Group. The archive contains source code for a project management tool called Taskflow and instructs candidates to "find and fix all bugs in the frontend code" as part of an "engineering challenge" within three hours and without relying on artificial intelligence (AI)-assisted tools. The instructions specifically ask the candidates to refrain from modifying the server component of the application ("server.js"), claiming it's "bug-free and functions correctly." However, it's in this file that the malicious code is embedded. "The first line of server.js imported a trojanized npm package named colorized_terminal, version 2.1.0," Kaspersky said. "The attackers bundled the package directly in the challenge task archive's node_modules directory rather than publishing it to the npm registry. When imported, the package silently launched an implant from node_modules/.cache/.320697f1/index.js as a detached background process." The implant in question is NodeRabbit, which communicates with one of three Azure-hosted command-and-control (C2) addresses ("plugplay.azurewebsites[.]net," "rgbteller.azurewebsites[.]net," and "wslwebui.azurewebsites[.]net") through three distinct API endpoints - /api/rabbit/checkin, to register agent and host information /api/rabbit/task, to poll for commands /api/rabbit/result, to send task results The malware supports 11 commands that allows it to gather host details, list running processes, execute arbitrary shell commands, enumerate directories, read a file in chunks and return Base64-encoded data, decode Base64-encoded text and write it at a chosen file offset, delete a file or recursively delete a directory, create directories recursively, enumerate adapters, MAC addresses, IP addresses, and DNS settings, and alter beacon interval. Another notable capability of NodeRabbit is to write a Base64-encoded Node.js script to a randomly named ".tmp" file, execute it, and then delete it to cover up traces of malicious activity. Kaspersky said it identified two more variants of NodeRabbit that share the same code lineage, each recovered from Egypt and Ethiopia - A second variant that uses a different trojanized npm package named pretty-log (version 2.1.0) instead of colorized_terminal, while also partially implementing corporate proxy support and terminating if found to be running in an analysis environment A third variant that's also launched using the pretty-log npm package but uses a different set of API endpoints to accomplish the same tasks - - /sdk/v2/ready - /sdk/v2/config - /sdk/v2/events Persistence is achieved depending on the operating system: a Windows Run registry key on Windows, a cron entry for Linux, and a launch agent on macOS. The persistence mechanism mimics either a Microsoft Edge browser update (first variant) or Intel's Driver & Support Assistant (second variant). The third variant, on the other hand, does not impersonate any legitimate software, but also takes into account the Windows Subsystem for Linux (WSL) to create a daily 10 a.m. Windows task that launches a Visual Basic Script file through "wscript.exe" and "wsl.exe." In addition, it features 12 new commands to - Enumerate accessible Windows drive letters or WSL-mounted drives Execute a process Kill process by PID or image name Replace the active C2 server and attempt to keep the new configuration Return the current C2 server Harvest account addresses from Outlook OST and PST artifacts Attempt to install a fake VS Code extension named "GitHub Copilot Helper" and Windows Run value for added persistence Check selected VS Code, scheduled-task, and Run-key persistence indicators Remove the fake extension Search recent and common development locations for Git repositories Inject a launcher into a repository's Git hooks for added persistence Remove the marked Git-hook launcher Nimbus Manticore has also been observed using programming challenge lures ("RankChallenge-react-6uJSX3-main.zip") distributed via time-limited developer assessments to deliver PollCat. "Although the visible exercise is not a security CTF, the project uses CTF terminology in several places," Kaspersky said. "The root package is named ctf-server, the backend prints CTF server running, the frontend uses several ctf-* storage keys, and the tutorial refers to path/to/ctf." "These repeated labels, together with instructions that do not fully match the delivered application, are consistent with an AI-assisted or template-generated project. One possible explanation is that the attacker prompted an AI coding assistant to create a CTF-style React platform and later inserted the malicious components." A PDF tutorial present within the archive prompts the target to click "Continue" and enter an attacker-supplied six-digit one-time password (OTP) that's refreshed every 30 seconds, and complete the challenge within a one-hour session. The compressed timeline to activate the assessment is likely an attempt to create a false sense of urgency and make them run the project as soon as possible to increase the likelihood of an infection. Despite the one-hour session window, PollCat runs independently of the OTP authentication process, unaffected by the success or failure of the OTP validation step. A failed validation prevents the victim from accessing the protected challenge features, while a successful OTP validation issues a JWT and starts an additional PollCat instance. For persistence, the malware creates a daily scheduled task on Windows, Linux, or macOS, and then connects to a C2 server to send basic host information and await further instructions. It supports 22 commands and communicates via seven API endpoints - /beacon, to register the client and obtain a socketId /gate/hello, to send host, user, domain, operating system information, and its current privilege level /gate/fetch?token= , to poll for commands /gate/submit, to submit a Base64-encoded command-result structure /vault/ , to fetch a hosted file and write it to the victim machine /vault/push, to upload a local file or file chunk to the C2 /gate/track, to report chunk-upload progress The commands span the typical backdoor gamut, enabling the operator to perform file operations, execute shell commands, upload/download files, run JavaScript, load DLLs, create or extract a ZIP archive, and enumerate running processes, drives, volumes, or mount points. Three commands, namely WS_DOWNLOAD, REQUEST_ELEVATION, and PERSIST, are currently not implemented. PollCat also searches for folders matching 24 hard-coded strings corresponding to software and security vendors, including Google, Microsoft, Palo Alto Networks, Cisco, VMware, Fortinet, Citrix, Check Point, Juniper Networks, LogMeIn, Sophos, Symantec, Trend Micro, McAfee, Kaspersky Lab, ESET, Bitdefender, Avast, CrowdStrike, SentinelOne, Malwarebytes, Brave, Tencent, and Naver. When a matching folder is found, the malware inventories the folder's root contents but does not recursively scan the product's directory. The results are then transmitted in the form of JSON to the "/api/system-details/result" endpoint. The activity's links to Nimbus Manticore stem from the structural, command fetching, beacon timing, and command set similarities between PollCat and MiniFast (aka MiniUpdate or Retrograde), a backdoor previously attributed to the group, as well as the use of Azure Websites and Cloudflare‑backed domains for C2. "The shift to cross-platform scripting gives the operators a single codebase that runs on Windows, Linux, and macOS, with payloads that blend naturally into developer workstations," Kaspersky said. "The delivery mechanism, however, remains consistent with Mirage Kitten’s historical tradecraft: the use of recruiter personas on LinkedIn to target critical sectors across the Middle East and Africa for cyber espionage purposes."
thehackernews.comSep 1, 2026extracted
Mirage Kitten targeting aviation and FinTech sectors across the Middle East and Africa with a new malware set
While monitoring Mirage Kitten activity, we uncovered a previously undocumented malware family that we dubbed NodeRabbit. We identified the first sample on a system in Afghanistan. Further threat hunting revealed two additional, more advanced, variants: one on a system in Egypt and another on a system in Ethiopia. NodeRabbit is a cross-platform remote access trojan (RAT) built with Node.js. It targets Windows, Linux, and macOS. Its operators deliver it through spear-phishing messages on LinkedIn and other job search platforms that contain trojanized coding challenge archives. During the same investigation, we discovered another previously undocumented malware family that we dubbed PollCat. Like NodeRabbit, PollCat is a cross-platform RAT, but it is written in obfuscated JavaScript also distributed through trojanized coding challenge archives. Mirage Kitten has historically relied on native malware written in languages such as C, C++, and Go, often deploying it through DLL search-order hijacking. NodeRabbit and PollCat represent the first publicly documented use of Node.js- and JavaScript-based malware by this APT group. Kaspersky’s products detect this threat as Trojan.JS.MirageKitten.* Background During recent threat research, we detected suspicious activity on a system in Afghanistan. We traced it to an archive containing a software development project that the user may have received during a job application process. The archive purported to contain a coding challenge for candidates applying for an engineering role. The archive, Front-Technical-Challenge.zip (MD5: 1EA83E4E4592B01E4ACAB63EB867BEE5 ), was hosted in an Amazon S3 bucket at: https://oracle-challenge.s3[.]us-east-1.amazonaws[.]com/Front-Technical-Challenge.zip It contained TaskFlow, an app for software engineering assessment built with Express, React, and Vite. The accompanying README instructed the candidate to review the application and fix defects in its frontend. It also claimed that server.js was bug-free and should not be modified, conveniently directing attention away from the only application source file the attackers had altered. README file for a trojanized coding challenge app The README also imposed a three-hour time limit and prohibited the use of AI assistants. Notably, an AI code-review assistant tasked with auditing the project would likely have flagged the suspicious first-line import of an unknown npm package and warned the targeted developer that the project was trojanized. Rules and time limit included in the trojanized coding challenge app README file The first line of server.js imported a trojanized npm package named colorized_terminal , version 2.1.0 . The attackers bundled the package directly in the challenge task archive’s node_modules directory rather than publishing it to the npm registry. When imported, the package silently launched an implant from node_modules/.cache/.320697f1/index.js as a detached background process. Retrospective threat hunting across our telemetry revealed the broader scope of the campaign. We identified three NodeRabbit variants with a shared code lineage; each was recovered from a system in a different country. The operators delivered the variants through similarly themed coding challenges and used two trojanized packages, colorized_terminal and pretty-log , both pinned to version 2.1.0 . The campaign also delivered PollCat, a second RAT with a substantially different structure, through a separate coding challenge lure. We’ll analyze PollCat later in this research. Initial access The infection chain begins with fake recruiter accounts contacting prospective targets on a job search platform. According to a publicly cited source, a threat actor posing as a talent acquisition specialist at a major technology company contacted a software engineer and advertised a job opening, inviting the target to complete a technical assessment. The target received a link to a coding challenge hosted on Amazon S3 and was pressured to download and run the project immediately. This public post matches the delivery chain we reconstructed from our telemetry: recruiter outreach on a job search platform, a coding challenge presented as a technical assessment, and a trojanized project archive hosted on legitimate cloud infrastructure. NodeRabbit RAT: the first variant We discovered the first NodeRabbit variant on a system in Afghanistan. The malware was concealed within the TaskFlow assessment at node_modules/.cache/.320697f1/index.js and executed by the trojanized colorized_terminal package. Once running, NodeRabbit generates a unique agent identifier from available host information. It calculates the SHA-256 hash of the hostname, username, operating system version, architecture, and MAC address, then truncates the result to its first 32 hexadecimal characters. NodeRabbit binds a TCP listener to 127.0.0.1:48739. This listener acts as a single-instance mechanism. If the malware cannot bind to the port, it assumes that another instance is already running and terminates silently. NodeRabbit uses a persistence mechanism for each operating system: Operating system Persistence mechanism Windows Copies itself to %APPDATA%\Microsoft\EdgeUpdate\msedge_update.js; clones the local node.exe to nodew.exe in the same folder and patches its PE subsystem from Console to Windows GUI to suppress the console window; creates HKCU\Software\Microsoft\Windows\CurrentVersion\Run\MicrosoftEdgeUpdate registry key executing nodew.exe msedge_update.js Linux Copies itself to ~/.config/microsoft-edge-update/msedge_update.js and creates an @reboot cron entry that invokes the script using the current Node.js executable. macOS Copies itself to ~/.config/microsoft-edge-update , creates ~/Library/LaunchAgents/com.microsoft.edgeupdate.plist configuration file pointing at the copy’s location with RunAtLoad and KeepAlive parameters, and attempts to load it. The malware communicates with its command-and-control servers through three API endpoints, choosing from the following Azure-hosted C2 infrastructure addresses. On failure, it switches to the next C2 address: 1. https://plugplay.azurewebsites[.]net 2. https://Rgbteller.azurewebsites[.]net 3. https://Wslwebui.azurewebsites[.]net Method Endpoint Purpose POST /api/rabbit/checkin Register agent and host info POST /api/rabbit/task Poll for commands POST /api/rabbit/result Submit results NodeRabbit serializes each C2 request object as JSON and wraps it with AES-256-GCM. The AES key is the SHA-256 digest of an ASCII seed embedded into the agent. Every request uses a fresh 12-byte IV and a 16-byte authentication tag: The malware sends encrypted requests using the following structure: { "d": "base64(IV || ciphertext || authentication_tag)", "_r": "8 hexadecimal characters", "_t": "epoch timestamp" } C2 responses are structured the same way and may contain a command to execute. We observed the first NodeRabbit variant supporting 11 commands: Command Functionality sys:info Return hostname, domain user information, username, and process ID. proc:list List running processes. proc:start Execute an arbitrary shell command. fs:list List a directory. fs:read Read a file in chunks and return Base64 data. fs:write Decode Base64 and write it at a chosen file offset. fs:delete Delete a file or recursively delete a directory. fs:mkdir Create directories recursively. net:config Enumerate adapters, MAC addresses, IP addresses, and DNS settings. agent:sleep Change the beacon interval. script:exec Write a base64 Node.js script to a randomly named .tmp file, execute it and delete it. NodeRabbit RAT: the second variant Retrospective threat hunting following the discovery in Afghanistan led us to a second infection on a system in Egypt. This sample is a more advanced NodeRabbit variant, launched through the trojanized pretty-log package instead of colorized_terminal . Before running its core functionality, the malware checks whether the host resembles an analysis environment. It terminates if it detects limited system memory, a low CPU count, short system uptime, analyst-associated usernames or hostnames, or common analysis tools running on the system. Before terminating, the malware generates benign HEAD requests to www.google.com, www.microsoft.com , and www.cloudflare.com , then exits without ever contacting its C2 infrastructure. Most likely, it attempts to look less suspicious by showing some benign activity before exiting. Variant 2 implements partial corporate proxy support: it checks HTTP(S) proxy environment variables, Windows Internet Settings, including an explicit PAC URL, and WinHTTP configuration; tunnels its HTTPS C2 through HTTP CONNECT . It first tries to establish an unauthenticated connection. If it fails, it retries using URL-embedded basic credentials. Finally, it delegates Windows NTLM/Negotiate challenges to curl.exe --proxy-anyauth --proxy-user . It caches the proxy-discovery result, including when no proxy is found, for five minutes. If the polling loop detects a network-interface or IP-address change, it clears the cache and runs proxy discovery again on the next checkin. To make sure a single instance is running, Variant 2 uses a host-specific port derived from the agent identifier instead of the fixed TCP port used by the first variant. It interprets the first four hexadecimal characters of the identifier as an integer and applies the following calculation: 41984 + (value mod 5000) . The resulting listener port falls between 41984 and 46983 . Unlike the shared port used by Variant 1, this port varies depending on the infected host. For persistence, Variant 2 masquerades as Intel Driver & Support Assistant. The exact persistence mechanism, once again, depends on the operating system. Operating system Persistence mechanism Windows Copies itself to %LOCALAPPDATA%\Intel\DSA\idriver_support.js . It then copies the local node.exe binary to IntelDSA.exe and changes its PE subsystem from Console to Windows GUI, suppressing the console window. Finally, it creates a scheduled task named IntelDriverSupportUpdate , which runs daily at 10AM and executes IntelDSA.exe with the dropped script. Linux Copies itself to ~/.config/intel-dsa/idriver_support.js and creates an @reboot cron entry. macOS Copies itself to ~/Library/Application Support/Intel DSA/idriver_support.js and creates the LaunchAgent com.intel.dsa.helper with RunAtLoad and KeepAlive enabled. NodeRabbit RAT: the third variant Further threat hunting identified a third NodeRabbit variant on a system in Ethiopia. Like the second variant, it is launched through the trojanized pretty-log package. It retains much of the previous variant’s functionality but introduces significant changes to its command-and-control configuration, command set, and persistence mechanisms. The third variant communicates with its C2 infrastructure through a different set of API endpoints: Method Endpoint Purpose POST /sdk/v2/ready Register agent and host info POST /sdk/v2/config Poll for commands POST /sdk/v2/events Submit results We observed the malware using a C2 chain composed of Azure- and Cloudflare-hosted domains. 1. https://visitfinancedentists[.]com 2. https://kyrasey-f8hfexa5cqamh7fk.westeurope-01.azurewebsites[.]net 3. https://healthcomfsdpower[.]com For persistence, Variant 3 implements the following mechanisms depending on the operating system in use: Operating system Persistence mechanism Windows Attempts to copy the payload to ProgramData or LocalAppData , create a build-specific daily 10AM task, and start the copied payload. To choose the exact directory, it tries to list C:\Windows\System32\config . If successful, it selects ProgramData with /ru SYSTEM /rl highest; in case of a failure, it selects LocalAppData without explicit /ru or /rl settings. macOS Copies the payload to ~/Library/Application Support, creates and loads a RunAtLoad/KeepAlive LaunchAgent and starts the copied payload. Linux Copies the payload to ~/.local/share , attempts to add an @reboot cron entry, and starts the copied payload. If crontab -l fails, persistence is skipped. WSL Uses the payload copied for persistence on the main Linux system, as described above. Writes launcher.vbs under the Windows user profile, and creates a daily 10AM Windows task that relaunches it through wscript.exe and wsl.exe . A new command, agent:servers , replaces the active in-memory C2 server list and can write the updated list to .sv.json . The third variant retains the original 11 commands and adds 12 new ones, bringing the total to 23. New commands Functionality fs:drives Enumerate accessible Windows drive letters or WSL-mounted drives proc:exec Execute a process proc:kill Kill process by PID or image name agent:servers Replace the active C2 and attempt to keep the new configuration agent:getchain Return the current C2 outlook:emails Harvest account addresses from Outlook OST and PST artifacts persist:check Check selected VS Code, scheduled-task, and Run-key persistence indicators persist:vscode Attempt to install a fake VS Code extension and Windows Run value persist:vscode:remove Remove the fake extension persist:projects:scan Search recent and common development locations for Git repositories persist:project:inject Inject a launcher into a repository’s Git hooks persist:project:remove Remove the marked Git-hook launcher Beyond the persistence mechanisms described above, Variant 3 introduces two additional persistence mechanisms that relaunch the malware through common developer workflows. 1. Malicious VS Code extension The persist:vscode command first copies the payload to its build-specific install path. If a compatible extension directory exists, it creates a fake extension displayed as GitHub Copilot Helper , with the description AI coding assistant helper service and the activation event on StartupFinished . The extension’s extension.js file attempts to start the installed payload as a detached Node.js process. To look less suspicious to the user, it uses a trusted publisher name borrowed from local extension metadata or a trustedPublishers value found in state.vscdb . However, no signature or trusted status is copied. Separately, the handler tries to disable Workspace Trust if the VS Code User directory exists. On Windows, it attempts to establish persistence using a current-user Run registry key value even if the extension directory is missing. 2. Git hook injection Git-hook persistence works in two steps. First, persist:projects:scan checks recent VS Code workspace paths directly. Under common locations such as ~/projects and ~/source , it checks only the first 60 immediate children, not the root itself, and returns no more than 20 repositories. For a selected repository, persist:project:inject appends a marked launcher to .git/hooks/post-merge and .git/hooks/post-checkout by default. The marker is # shepherd-persist; the line following the marker attempts to start the installed payload with Node in the background. A later Git operation must trigger one of those hooks, and the referenced Node executable and payload must still exist. PollCat RAT While tracking NodeRabbit infections, we discovered another malicious tool we dubbed PollCat, which is also distributed under the guise of a programming challenge. The sample we obtained resides inside RankChallenge-react , a React code-fixing challenge presented as a time-limited developer assessment. Running the project invokes npm i && node index.js , which starts the local application and attempts to open the challenge in the user’s browser. Although the visible exercise is not a security CTF, the project uses CTF terminology in several places. The root package is named ctf-server , the backend prints CTF server running , the frontend uses several ctf-* storage keys, and the tutorial refers to path/to/ctf . These repeated labels, together with instructions that do not fully match the delivered application, are consistent with an AI-assisted or template-generated project. One possible explanation is that the attacker prompted an AI coding assistant to create a CTF-style React platform and later inserted the malicious components. README instructions and challenge overview included in the trojanized React coding project The PDF tutorial contained in the same archive as the project tells the target to click Continue , enter a six-digit OTP code, and complete the challenge within a one-hour session. It states that codes are supplied by the recruiter, are single-use, and expire quickly; the visible login page also claims that codes rotate every 30 seconds. In the delivery scenario described by the investigation, the threat actor posing as a recruiter could provide the code directly to the targeted developer. This gives the operator control over access to the lure, while the expiring code and countdown create a sense of urgency, pressuring the target to run the project and complete the assessment quickly, potentially accelerating the infection process. One-hour session window enforced by the trojanized coding challenge The bundled .env file contains the JWT signing secret, OTP service URL, and OTP client ID. Configuration embedded in .env file of the trojanized coding project, including the OTP service URL and client identifier The application forwards submitted codes to an attacker-managed domain registered in late June-2026: https://lifespotify[.]com/api/users/b879746e-fed9-4211-a6da-4d8223681267/otp/validate . That said, PollCat starts independently of the OTP authentication process. During application startup, app.js loads requireAuth.js , which imports and immediately starts the malicious requireObjects.js component. PollCat can therefore begin C2 registration and command polling while the application is still loading, before the user enters an access code. A failed OTP validation prevents the user from accessing the protected challenge features, but PollCat continues running in the background. A successful OTP validation issues a JWT and creates another worker that starts an additional PollCat instance. The first authenticated request also triggers the persistence attempt. Persistence starts when the first request carrying a valid JWT reaches the protected middleware. PollCat then uses one of the following methods: Operation system Persistence mechanism Windows Writes package.json and requireObject.js to %APPDATA%\Microsoft\Network, runs npm install, and creates a daily task named NetSync_<username> and scheduled for 09AM that runs the worker with Node.js. Linux Writes the worker to ~/.node_packages, runs npm i, and appends both a daily 09AM cron line and an @reboot line. macOS Uses the same ~/.node_packages copy and cron path, then creates and loads ~/Library/LaunchAgents/com.harsh.requireobject.plist with RunAtLoad and a daily 09AM trigger. Once active, PollCat identifies the host as 129--<hostname> and iterates over the following C2s until registration succeeds: 1. https://sahi-finance[.]com 2. https://GamebarAppinformation[.]azurewebsites[.]net 3. https://GamebarApp[.]azurewebsites[.]net To register, it sends the following HTTP request to the C2: POST /beacon HTTP/1.1 Host: <c2-host> Content-Type: application/json {"clientId":"<client-id>","type":"poll","pcName":"<hostname>","userName":"<username>"} On successful registration, PollCat expects an unusual HTTP 400 response containing a socket identifier and optional timing values: HTTP/1.1 400 Content-Type: application/json {"socketId":"<socket-id>","pollInterval":<poll-interval-ms>,"jitterTime":<jitter-ms>} After registration, PollCat sends host information to /gate/hello , polls /gate/fetch for commands, and returns results through /gate/submit . All endpoints in use are presented in the table below. Method Endpoint Purpose POST /beacon Register the client and obtain a socketId and optional timing values. POST /gate/hello Submit host, user, domain, OS information, and its current privilege level. GET /gate/fetch?token=<socketId> Poll for commands. POST /gate/submit Submit a Base64-encoded command-result structure. GET /vault/<uuid> Retrieve a hosted file and write it to the victim machine. PUT /vault/push/ Upload a local file or file chunk to the C2. POST /gate/track Report chunk-upload progress. By default, PollCat RAT polls every two minutes with up to five seconds of jitter. Commands and results are stored as little-endian binary records and carried as Base64 text. PollCat RAT declares 22 commands, but three of them have no implementation: Command Functionality 0x02 (DIR) List a directory. 0x03 (MV) Move a file or directory. 0x04 (RUN) Execute a shell command. 0x05 (TASKLIST) List running processes. 0x06 (DEL) Delete a file or directory. 0x07 (UPLOAD) Download a file from the C2 to the victim’s machine. 0x08 (DOWNLOAD) Upload a local file to the C2. 0X09 (DRIVES) List drives, volumes, or mount points. 0X0A (TERMINATE) Terminate a process by PID. 0X0B (RUNDLL) Load a DLL and call an exported function on Windows. 0X0C (MKDIR) Create a directory. 0X0D (ZIP) Create or extract a ZIP archive. 0X0E (CHUNKED_DOWNLOAD) Upload a local file in chunks. 0X0F (RUN_HIDDEN) Start a hidden background process. 0X20 (EVAL_JS) Execute JavaScript supplied by the C2. 0X30 (SYSTEM_CHECK) Collect process and software inventory. 0XA1 (WS_DOWNLOAD) Defined but not implemented. 0xB0 (REQUEST_ELEVATION) Defined but not implemented. 0XB1 (PERSIST) Defined but not implemented. 0xF0 (SET_SLEEP_TIME) Change the polling interval. 0XF1 (SET_IDLE_TIME) Store an idle-time value. 0xF2 (SET_JITTER_TIME) Change polling jitter. The command names UPLOAD , DOWNLOAD , and CHUNKED_DOWNLOAD are written from the C2’s perspective. UPLOAD sends a C2-hosted file to the victim’s machine, while the two download commands transfer victim files back to the C2. EVAL_JS runs JavaScript supplied by the C2 and gives that code access to Node.js modules, files, processes, networking, and child-process functions. SYSTEM_CHECK collects the names of running processes and lists files and folders from: %SystemDrive%\Program Files %SystemDrive%\Program Files (x86) %LOCALAPPDATA% %LOCALAPPDATA%\Programs %APPDATA% %USERPROFILE% %APPDATA%\Microsoft\Outlook %LOCALAPPDATA%\Microsoft\Olk\Attachments %USERPROFILE%\Documents It also searches for folders matching 24 hardcoded strings corresponding to security software vendor names: ‘Google’, ‘Microsoft’, ‘Palo Alto Networks’, ‘Cisco’, ‘VMware’, ‘Fortinet’, ‘Citrix’, ‘CheckPoint’, ‘Juniper Networks’, ‘LogMeIn’, ‘Sophos’, ‘Symantec’, ‘Trend Micro’, ‘McAfee’, ‘Kaspersky Lab’, ‘ESET’, ‘Bitdefender’, ‘Avast Software’, ‘CrowdStrike’, ‘SentinelOne’, ‘Malwarebytes’, ‘BraveSoftware’, ‘Tencent’, and ‘Naver’. When PollCat finds a matching folder, it lists that folder’s root contents. It does not recursively scan the entire product directory. The detailed inventory, including process names, directory listings, and collected paths, is sent as JSON to POST /api/system-details/result . Infrastructure Mirage Kitten continues to rely on Azure Websites and Cloudflare-backed domains to hinder infrastructure discovery and tracking. More importantly, the use of Microsoft Azure subdomains for C2 helps the traffic blend into legitimate organizational network activity. In some cases that we encountered during our research, the actors even incorporated the targeted organization’s name into the Azure subdomain, making C2 communications appear more like normal business traffic originating from an employee machine during regular business days. Domain Registrar ASN Malware sample naturalapplication.azurewebsites[.]net retaildemo.azurewebsites[.]net tubitak.azurewebsites[.]net MarkMonitor Inc. AS 8075 NodeRabbit RAT sample 1 rgbteller.azurewebsites[.]net wslwebui.azurewebsites[.]net plugplay.azurewebsites[.]net MarkMonitor Inc. AS 8075 NodeRabbit RAT sample 2 crossdwm.azurewebsites[.]net wdisystem.azurewebsites[.]net wslmenus.azurewebsites[.]net MarkMonitor Inc. AS 8075 NodeRabbit RAT sample 3 dnshnsdev.azurewebsites[.]net hpjumpsrv.azurewebsites[.]net storview.azurewebsites[.]net MarkMonitor Inc. AS 8075 NodeRabbit RAT sample 4 healthcomfsdpower[.]com visitfinancedentists[.]com NameCheap, Inc. AS 13335 NodeRabbit RAT sample 5 kyrasey-f8hfexa5cqamh7fk.westeurope-01.azurewebsites[.]net MarkMonitor Inc. AS 8075 greenyjsgfd.azurewebsites[.]net helptellerbls.azurewebsites[.]net timedrv.azurewebsites[.]net userwellgtfs.azurewebsites[.]net MarkMonitor Inc. AS 8075 NodeRabbit RAT sample 6 hecowime-aqdphyd4bbdef6es.westeurope-01.azurewebsites[.]net msmanagementgrp[.]com msmanagementgrpmedia[.]com MarkMonitor Inc. AS 8075 NodeRabbit RAT sample 7 lifespotify[.]com Dynadot AS 8075 PollCat RAT gamebarapp.azurewebsites[.]net gamebarappinformation.azurewebsites[.]net MarkMonitor Inc. sahi-finance[.]com NameCheap, Inc. Based on our analysis of Mirage Kitten’s infrastructure, we identified certain patterns across several command-and-control channels, including msmanagementgrp[.]com and visitfinancedentists[.]com Further investigation based on these patterns led to the discovery of approximately 11 additional infrastructure assets attributed to the same group. Domain Creation date Registrar healthful-hub[.]com 2026-07-03 NameCheap, Inc. neumedicahealthcare[.]com 2026-07-03 NameCheap, Inc. optimumhealthcredit[.]com 2026-07-03 NameCheap, Inc. healthfullyrecipes[.]com 2026-06-30 NameCheap, Inc. refreshhealthandwellness[.]com 2026-06-09 NameCheap, Inc. healthvitalitycare[.]com 2026-05-18 NameCheap, Inc. aceofspadesmanagement[.]com 2026-05-18 NameCheap, Inc. glmediaagency[.]com 2026-05-18 NameCheap, Inc. digimediaskill[.]com 2026-05-18 NameCheap, Inc. healthyweightplan[.]com 2026-05-18 NameCheap, Inc. mens-health-online[.]com 2026-05-15 NameCheap, Inc. Victims Based on our telemetry, we identified victims in fintech, aviation and aerospace sectors across the Middle East and Africa – specifically, in Egypt, Ethiopia and Afghanistan. We also observed submissions of ZIP archives with trojanized projects containing NodeRabbit and PollCat to an online multi-scanner originating from several countries, including India, Türkiye, Israel, Iraq, Germany, and Ireland. Attribution We attribute this activity to Mirage Kitten with a high degree of confidence based on the following observations: Structural similarities with the Retrograde/ MiniFast native DLL backdoor (MD5: 810F8E3B88EB05F710C09552941D6F56 ) Initial C2 handshake and session establishment logic. Both PollCat and Retrograde/MiniFast follow a similar C2 handshake flow. Each builds a JSON request body containing host information and sends it via an HTTP POST request. Notably, both treat HTTP 400 as a successful handshake response rather than an error, parsing the response body to extract a socketId , which is then stored and used as the session token for subsequent C2 communication. Similar C2 handshake and socketId session establishment logic in MiniFast/Retrograde and PollCat Host registration. Both PollCat and Retrograde/MiniFast register the infected host with the C2 server by sending a structurally similar JSON request body containing the session token and host information. Malware Host registration request body C2 endpoint PollCat {“token”:”<socketId>”,”pcName”:”<host>”,”userName”:”<user>”,”domainName”:”<domain>”,”os”:”<os>”,”isElevated”:false} /gate/hello MiniFast/Retrograde {“token”:”<socketId>”,”pcName”:”<host>”,”userName”:”<user>”,”domainName”:”<USERDOMAIN>”,”isElevated”:<bool>} /agent/init Command fetching similarities. The similarities extend to command retrieval. Both PollCat and Retrograde/MiniFast periodically poll the C2 server using an HTTP GET request containing the previously assigned socketId as a token. Retrograde/MiniFast uses GET /agent/poll?token=<socketId> , while PollCat follows the same pattern with GET /gate/fetch?token=<socketId> , demonstrating a closely aligned C2 communication structure. Beacon timing similarities. PollCat and the Retrograde/MiniFast share identical beacon timing defaults: a polling interval of 120,000 ms ( 0x1D4C0 ), a jitter of 5,000 ms ( 0x1388 ), and a retry timeout of 60,000 ms ( 0xEA60 ). This further highlights the structural similarities between the two C2 communication implementations. Command set similarities. PollCat and Retrograde/MiniFast share several commands and command IDs. Notably, PollCat declares REQUEST_ELEVATION (0xB0) and PERSIST (0xB1) but does not implement them. In MiniFast, both are functional: 0xB0 performs UAC elevation, while 0xB1 creates the WindowsSecurityUpdate scheduled task for persistence. Command set similarities between MiniFast/Retrograde and PollCat, including shared command identifiers Proxy authentication similarities. NodeRabbit delegates corporate-proxy NTLM/Negotiate authentication to curl.exe --proxy-anyauth --proxy-user , using the victim’s logon session. Retrograde/MiniFast native DLL implements the same approach natively through WinHttpQueryAuthSchemes and WinHttpSetCredentials with NULL credentials. This shared proxy-aware C2 design suggests the same development approach across both malware families. Speaking of victimology, the attacks are consistent with Mirage Kitten’s known geographic targeting, with the group maintaining a strong focus on entities across Africa and the Middle East, this time with a particular focus on the aviation and FinTech sectors. As for the operational infrastructure, Mirage Kitten has historically hosted its initial ZIP lures on legitimate third-party services. Previously, it used onlyoffice.com for this purpose. In this activity, the group shifted to Amazon S3 buckets. Finally, the combination of Azure Websites and Cloudflare‑backed domains has been a hallmark of Mirage Kitten’s TTPs, which we have observed across NodeRabbit and PollCat. Conclusions Mirage Kitten’s latest activity marks a notable evolution in the group’s tooling: NodeRabbit and PollCat are the group’s first Node.js/JavaScript-based implants, departing from its usual native malware deployed through DLL search-order hijacking. The shift to cross-platform scripting gives the operators a single codebase that runs on Windows, Linux, and macOS, with payloads that blend naturally into developer workstations. The delivery mechanism, however, remains consistent with Mirage Kitten’s historical tradecraft: the use of recruiter personas on LinkedIn to target critical sectors across the Middle East and Africa for cyberespionage purposes. We continue to track the group’s activity and will report on new developments in future publications. Indicators of compromise Additional IoCs are available to customers of our Threat Intelligence Reporting service. For more details, contact us at [email protected] . File hashes CBAAF0900A13F28E380F49ADECEC932C   FrontEnd-Task.zip 1EA83E4E4592B01E4ACAB63EB867BEE5   Front-Technical-Challenge.zip 366515822D5AC1CC500711EF57A2E32E   Task-FullStack.zip CF449F1992C2819E62AC44A0B06AC2E7   fullstack-1536.zip E95A4366686E3F786EA3C056FAB5B0DA   webapp76592.zip DE5AF16A3757EF700B01DC34D67079AE   webapp76531.zip BE086789568441D0D7E4679AEE51F566   challenges-17831.zip E259C5EDF158AAC4CFE14F77DDD0B196   challenges-17832.zip 291AC3ABE73C5158E59A437B75D5F0AA   Project-1802.zip 0962F56D7EC69F4F2A0162DCBE22116B   Case-34234.zip 795E053A990A1569FFDCB57F48F6D085   RankChallenge-react-6uJSX3-main.zip Domains and IPs oracle-challenge.s3[.]us-east-1.amazonaws[.]com naturalapplication.azurewebsites[.]net retaildemo.azurewebsites[.]net tubitak.azurewebsites[.]net rgbteller.azurewebsites[.]net wslwebui.azurewebsites[.]net plugplay.azurewebsites[.]net crossdwm.azurewebsites[.]net wdisystem.azurewebsites[.]net wslmenus.azurewebsites[.]net dnshnsdev.azurewebsites[.]net hpjumpsrv.azurewebsites[.]net storview.azurewebsites[.]net healthcomfsdpower[.]com visitfinancedentists[.]com kyrasey-f8hfexa5cqamh7fk.westeurope-01.azurewebsites[.]net greenyjsgfd.azurewebsites[.]net helptellerbls.azurewebsites[.]net timedrv.azurewebsites[.]net userwellgtfs.azurewebsites[.]net hecowime-aqdphyd4bbdef6es.westeurope-01.azurewebsites[.]net msmanagementgrp[.]com msmanagementgrpmedia[.]com lifespotify[.]com gamebarapp.azurewebsites[.]net gamebarappinformation.azurewebsites[.]net sahi-finance[.]com healthful-hub[.]com neumedicahealthcare[.]com optimumhealthcredit[.]com healthfullyrecipes[.]com Refreshhealthandwellness[.]com healthvitalitycare[.]com aceofspadesmanagement[.]com glmediaagency[.]com digimediaskill[.]com healthyweightplan[.]com mens-health-online[.]com
securelist.comSep 1, 2026extracted
Fake listings can turn trusted platforms into scam springboards
Recently, we found a listing on BuzzFeed from someone pretending to be Malwarebytes Support. It reminded us why we need to be cautious about content on platforms where anyone can create an entry. Based on the phone number, we suspect the people behind this listing are trying to draw callers into a tech support scam . The scammer may use social engineering to persuade victims to grant remote access to their devices. This is not Malwarebytes’ phone number  At first glance, this kind of lure can look convincing. It borrows the familiarity of a well-known publication, uses a recognizable security brand, and may appear in an ad placement or search result where people expect to find legitimate information. But the combination of a trusted platform and a trusted brand does not make something trustworthy. The phone number in the listing has also been used in similar scams impersonating McAfee and Norton. Don’t recognize that number? We’ll check it. CHECK NOW Scammers do not always need to build a convincing website from scratch. They can use platforms that let people create listings, ads, storefronts, pages, reviews, or posts, relying on the platform’s reputation to do part of the work for them. How scammers borrow a platform’s credibility The whole point of online marketplaces and social media is to make it easy for people to create posts and listings. Someone wants to sell an old camera, a handcrafted item, a digital product, or perhaps offer a service. They create an account, fill out a form, add a few photos, write a description, and make their listing visible to a huge audience. You can imagine how attractive this is to scammers. Our own research found that 47% of people encountered scams on social media at least once a week, while 36% encountered them on buying-and-selling platforms. A fake listing can borrow credibility from: The platform’s familiar design Its domain name and security certificate The assumption that listings have been reviewed Brand names and logos used without permission Ratings, reviews, or sales claims that look legitimate at first glance The scammer does not need to persuade victims that an unfamiliar domain is safe. They only need them to believe that content hosted by a marketplace, classified site, social-media platform, advertising network, or review site is safe. People are rightly cautious when they land on a random website with an odd name. But they may lower their guard when they see a familiar marketplace or media brand in the browser address bar. Many marketplace scams are straightforward. A seller advertises a product that does not exist, sends a counterfeit item, or tries to persuade the buyer to pay outside the platform. From listing to scam But some listings are only the beginning of the scam. A listing might advertise: Antimalware software or a “lifetime” security subscription Device-cleaning or PC-repair services Account-recovery help Printer, router, smart-TV, or smartphone support A low-cost or free trial that requires victims to call a number A product description containing a “support” phone number or an external link The product or service being advertised is irrelevant. The real purpose is to get victims to call a number, visit another website, install remote-access software, or hand over payment details. How to stay safe Large platforms do try to remove fraudulent listings. They use automated detection, seller controls, user reports, brand-protection programs, and moderation teams. But platforms operating at scale face a difficult problem: legitimate users can create an enormous number of listings, posts, ads, and product pages in a short time. Review systems can miss malicious content, particularly when scammers change names, images, wording, accounts, phone numbers, and links faster than moderators can respond. Users therefore need to take precautions: Be suspicious of listings offering security software, technical support, account recovery, or device repair at an unusually low price. Treat unexpected phone numbers in ads, listings, product images, comments, and pop-ups as untrusted, especially when they appear in an unrelated category. Our example appeared in the “Quizzes” section of BuzzFeed. Do not assume a listing is genuine because it appears on a large, familiar platform. Before engaging, check the seller’s history, reviews, contact details, and return information, bearing in mind that these can also be manipulated. Avoid sellers who pressure you to continue the conversation off-platform. Never allow an unsolicited “support agent” to access your computer remotely. Do not pay with gift cards, cryptocurrency, wire transfers, or payment apps. Use a payment method that offers purchase protection and may allow you to dispute an unauthorized or fraudulent charge. Type the company’s official website address into your browser, use its official app, or rely on a saved bookmark. Verify any support number through one of these official channels. Report suspicious listings to the hosting platform and to the impersonated brand. If you have already called a scammer or granted remote access: Disconnect the device from the internet Remove remote-access software Change important passwords from a known-clean device Contact your bank or card provider if any payment details were shared The rule of thumb is simple: a trusted platform can host untrusted content. Scammers thrive on borrowed credibility. Pro tip: Use Malwarebytes Scam Guard to help you figure out whether something is a scam and what to do next. Our Support team is available 24/7 to help with anything from quick questions to complex issues. Visit help.malwarebytes.com to contact us directly or search our knowledge base. Something feel off? Check it before you click.    Malwarebytes Scam Guard  helps you analyze suspicious links, texts, and screenshots instantly.   Available with  Malwarebytes Premium Security  for all your devices, and in the  Malwarebytes app for iOS and Android .   Try it free →  
malwarebytes.comAug 27, 2026extracted
Fake Minecraft Clients Deliver WeedHack Malware Despite Infrastructure Takedown
A large-scale malware-spreading scheme targeting Minecraft players has continued to evolve despite the takedown of the threat actor’s malicious infrastructure in July. In a new report, researchers at McAfee shared that over 6300 attempts to access malicious sites linked to the ‘WeedHack’ malware campaign were blocked by McAfee WebAdvisor in the past month. WeedHack is a malware-as-a-service (MaaS) campaign spotted by McAfeee in July. It utilized SEO poisoning techniques and malicious websites impersonating legitimate Minecraft clients and infected over 116,464 gamers with malware. While the initial infrastructure underlying the campaign, including the command-and-control (C2) server, was taken down by McAfee in July, the researchers noticed that the campaign was still active in August. “Consequently, we have observed a shift in tactics by these attackers,” McAfee researchers said, noting that threat actors have increasingly pivoted to file-hosting services such as Discord to distribute WeedHack. Discord accounted for 49.6% of the links associated with WeedHack deployments identified by the cybersecurity firm, followed by MediaFire (23.4%), GitHub (8.2%), and Dropbox (4.6%). The remaining URLs were customer-facing websites impersonating Minecraft resellers, sometimes offering paid tools for free to lure users into clicking on malicious links. “In one case, the top two Google results observed by researchers for a popular Minecraft client led to sites distributing WeedHack, demonstrating how SEO poisoning can put malicious downloads directly in gamers’ paths,” the researchers wrote. Researchers also identified a malicious site built using an AI-powered website creation platform. To avoid falling into the trap the threat actor has set up for them, McAfee researchers recommended that gamers download mods, clients and other files only from trusted, official sources, while avoiding suspicious offers such as free versions of paid tools or cracked software. They also advised keeping security software enabled, scanning downloads before opening them and checking URLs carefully for lookalike domains that could lead to malicious sites. Image credits: Mehaniq / Shutterstock.com
infosecurity-magazine.comAug 25, 2026extracted
Weedhack Malware Spreads via Fake Minecraft Clients and SEO Poisoning
Cybersecurity researchers have found that several websites are still actively distributing a malware family known as Weedhack to gamers by masquerading as Minecraft clients. McAfee Labs said it detected and blocked more than 6,300 attempts to access malicious sites, adding that it found lookalike gaming websites designed to mimic legitimate projects, including branding, feature lists, FAQs, installation guides, developer credits, and links to genuine GitHub repositories. Notably, one of the sites has been built using Lovable, an artificial intelligence (AI)-powered website builder, highlighting how readily available tools can further lower the barrier and make it easier to launch convincing new malicious sites. Weedhack was first documented by the cybersecurity company back in June 2026, detailing its use of SEO poisoning and YouTube to redirect traffic to the bogus domains. The attack triggers a multi-stage sequence that culminates in the deployment of JAR payloads that can collect system information, set up Microsoft Defender exclusions, and steal sensitive data from the compromised host. "Nearly half of the malicious URLs identified were Discord links (49.6%), followed by MediaFire (23.4%) and GitHub (8.2%), showing how attackers can use familiar platforms alongside fake websites to distribute malware," McAfee Labs researcher Aayush Tyagi said. Some of the fake domains distributing the malware are listed below - glazed-client[.]com, which replicates glazedclient[.]com, a free and open-source Minecraft add-on of the same name radium-client[.]com, which replicates radiumclient[.]com, a paid Minecraft client seedcrackerx.github[.]io, which replicates seedcrackerx[.]com, a Minecraft seed cracking software cheatlib[.]xyz, which claims to be a "modern Minecraft mod library" with more than 1.6 million downloads meteorclients[.]com, which replicates meteorclient[.]com 22qq-client[.]com, which impersonates a Minecraft mod of the same name for Crystal PvP servers kryptonclientcrack.lovable[.]app, which replicates kryptonclient[.]org, a paid Minecraft tool for DonutSMP server nova-client[.]com, which impersonates an open-source Minecraft client xenoclient[.]lol and xenonclient[.]com, which impersonate Xenon client It's worth noting that both the websites for Xenon Client and Nova Client feature at the top of search results across various search engines like Google, Microsoft Bing, Brave Search, and DuckDuckGo, allowing unsuspecting users to download Weedhack-laced clients. "The legitimate client is hosted on GitHub and Modrinth; however, attackers have created a spoofed website and leveraged SEO poisoning techniques to outrank the official sources in search results," McAfee Labs said. Besides bogus domains, file hosting services and GitHub repositories have been observed spreading Weedhack, with links to these websites distributed via Discord, Reddit, and other communication channels. Another propagation channel involves hosting the JAR files on Planet Minecart and EndMods, both of which are legitimate destinations for Minecraft tools and enhancements. To counter the threat, it's advised to keep devices up-to-date, stick to trusted sources, scan files before opening them, and exercise caution when any mod or cheat prompts to disable security protections before installing it. This is not the first time SEO poisoning campaigns for popular tools are being used to drop malware. In June 2026, Check Point flagged a large-scale operation that impersonates open-source and freeware projects to funnel unsuspecting users through a Traffic Distribution System (TDS) and deliver malware families like Remus Stealer, AnimateClipper, and the SessionGate framework.
thehackernews.comAug 24, 2026extracted
Horizon3.ai hits $2 billion valuation in $250 million funding round
Horizon3.ai hits $2 billion valuation in $250 million funding round Horizon3.ai has announced a $250 million Series E at a valuation of more than $2 billion, tripling its valuation from $650 million at Series D in just over a year. The oversubscribed round was co-led by existing investors NightDragon and NEA, with participation from seven new investors and five returning backers. The capital underscores accelerating global demand for safe, autonomous security validation as AI-driven cyberattacks escalate. “We invented the concept of AI Hackers and spent six years earning the right to autonomously pentest the most critical and sensitive networks in the world — with no humans in the loop,” said Snehal Antani, CEO of Horizon3. “Our massive data moat, built on 310,000 tests safely executed in production, combined with thousands of radical champions who love our product, has allowed us to achieve consistent top-tier financial and operational metrics. This round gives us the fuel to scale aggressively as the definitive leader of the AI vs. AI era.” A defining moment for autonomous security Cyberattacks now move at the speed of AI, and defenses cannot keep pace. Horizon3’s NodeZero platform closes that gap by autonomously and safely attacking an organization’s own production environment. It reveals how adversaries chain together misconfigurations, weak credentials, and identity gaps to compromise critical systems, provides fix guidance, and instantly verifies remediation. Additionally, as NodeZero tests an environment, it can optimally deploy honeypots that are the cheapest, fastest, and most effective way of detecting AI attackers and prove they are inside. This approach has powered 120% year-over-year ARR growth as Horizon3 now protects over 7,000 organizations globally including multinational banks, major healthcare networks, and four Fortune 10 enterprises. Vetted, tested, and operational across large, classified government agencies and enterprises in the most highly regulated industries in the world, Horizon3 is FedRAMP High authorized and helps organizations meet DORA, NIS 2, NIST CSF 2.0, HIPAA, SOC 2, and GDPR regulatory requirements. Premier Global Investor Syndicate and Board Additions The Series E round was co-led by existing investors NightDragon and NEA, with participation from a syndicate of new and returning strategic and institutional investors: New investors: Acrew, Blue Cloud Ventures, EDBI (Singapore), Demeter Group, PSG, SAIC, and Sapphire Existing investors: Craft Ventures, Prosperity7 Ventures, Qualcomm Ventures, Ridge Ventures, and SignalFire As part of the investment, Dave DeWalt, Founder and CEO of NightDragon and former CEO of FireEye and McAfee, and Morgan Kyauk, Managing Director at NightDragon, will join Horizon3’s Board of Directors. “Horizon3 coined the concept of cyber warfare being AI vs. AI, and that future has arrived,” said Dave DeWalt. “Snehal and his team have built an unparalleled proactive security platform that is fundamentally reshaping how the world defends its data. I am thrilled to join the board to help Horizon3 secure the world’s most critical infrastructure and enterprises at scale.” “Horizon3 has demonstrated textbook operational excellence,” said Morgan Kyauk. “They have built an incredibly efficient, highly scalable go-to-market motion that will be further amplified by NightDragon’s ecosystem of partners, advisors, and global customers.” Use of proceeds Horizon3 will deploy the new capital across three strategic priorities: GTM Scaling: Scaling go-to-market operations, sales, marketing, and channel, to meet surging global demand across enterprise, mid-market, and federal customers. International expansion: Strategic entry into Singapore and Australia while deepening presence across EMEA. Next-gen product innovation: Accelerating the product roadmap to build a continuous learning loop between AI attackers and AI defenders, including new autonomous blue-team agents that remediate findings directly from NodeZero pentests. “It has never been harder for CIOs and CISOs. Attackers are getting faster, enterprise IT is becoming more complex, and regulators and cyber insurers are becoming more punitive,” Antani added. “We’re about to see an explosion of vulnerabilities, most of which won’t matter, but a small percentage will be immediately exploitable. The goal of running pentests isn’t to find problems, it’s to quickly fix exploitable problems that matter. We started with pentesting, evolved to be a proactive security platform, and will now accelerate remediation by creating AI learning loops between attackers and defenders.”
helpnetsecurity.comAug 3, 2026extracted
Flying Eagle Android RAT Traces Found on 170 Servers as Source Code Circulates
Source code for the Flying Eagle Android remote access trojan (RAT) framework is circulating through criminal Telegram channels. Hunt.io and independent researcher NetAskari traced matching control panels and certificates to 170 internet servers. They linked the framework to a fake "公安一网通办" Public Security service application targeting Android users in China. The kit supports payment-password and keystroke capture, screen recording, camera access, and phishing prompts for financial, adult-content, and government-service applications. Hunt.io's search of the preceding 30 days of telemetry found infrastructure fingerprints on 170 servers, a count that does not establish 170 infected phones, victims, operators, or confirmed command-and-control (C2) systems. The researchers found 158 servers through the AdminPro page title, HTTPS redirect behaviour, and matching response headers, then identified 12 more through a default certificate packaged with Flying Eagle. They said the total is likely conservative because it excluded otherwise similar servers that did not return the expected 302 redirect. Chinese authorities advised anyone who installed the fraudulent application to remove it, scan the device, change affected account passwords, freeze payment channels if funds moved, and report the incident to police. China's National Cybersecurity Notification Center warned on June 18 that the fake application was being distributed from 110gongan[.]com, associated with 207.56.30[.]188, and could steal payment data and remotely control devices. According to joint research published July 28, the Flying Eagle code was distributed as a 388 MB archive called 中国龙.zip, or Chinese Dragon. It contains a full Docker deployment with nginx, PHP, MySQL, a Node.js WebSocket server, Android build tools, phishing templates, and a default Transport Layer Security certificate. The panel lets an operator choose an app name, icon, lure text, and C2 address, then produces a signed APK from one of two templates. The builder randomises package and class names, encrypts embedded C2 URLs using AES-128-CBC, and adds 2.8 MB to 3.5 MB of low-entropy JSON padding designed to resemble legitimate software development kit configuration data. Flying Eagle is the builder and control framework; Hunt.io said samples it analysed from the builder were detected as SpyNote and used Android accessibility services for privilege escalation and gesture injection. The researchers observed two Telegram channels, SQLRCE0 and Yx Technology, distributing modified versions of the framework. Messages reviewed by them claimed an unidentified party had compromised customer infrastructure containing 189 Flying Eagle servers and exfiltrated database data, but neither claim has been independently confirmed. Yx Technology also advertised cash-out services charging 20% to 50% of the transaction value. The server count and the source-code circulation are documented, but no causal relationship between them has been established. SQLRCE0 introduced a separate Android control kit called Night Dragon on June 23, 2026. The researchers found two associated servers and an exposed panel that listed 46 devices as online and 29 as actively connected, but said it could not determine whether the entries represented victims or test data. Hunt.io says Night Dragon appears to be an independent build, with a second version in development as of July 12. The report establishes that SQLRCE0 distributed Flying Eagle and promoted Night Dragon, but it does not establish shared code. This is not the 2011 China-linked espionage campaign McAfee named Night Dragon. The 2026 kit is financially motivated Android crimeware.
thehackernews.comJul 29, 2026extracted
LG to Ban Residential Proxies from Smart TV Apps
The home appliance giant LG Electronics USA said this week it plans to suspend any apps built for its smart TVs that turn one’s television into an always-on residential proxy node. The move comes less than a month after researchers found that more than 42 percent of games and other apps available for download on LG’s webOS store allow unknown third-parties to route their Internet traffic through a user’s TV. On July 2, we featured research by the security firm Spur that examined the prevalence of residential proxy software development kits (SDKs) in smart TV apps. Spur found more than 42 percent of apps available for download on LG smart TVs include SDKs that turn one’s television in a proxy node indefinitely, and that more than a quarter of the apps made for Samsung’s Tizen operating system had similar residential proxy components. Responding to questions about Spur’s research, LG Senior Vice President John Taylor told KrebsOnSecurity the company was working with app developers to remove the residential proxy option from their apps on the webOS platform. Developers that fail to comply, he said, will find their apps suspended. “A residential proxy network is not an intended use for LG smart TVs, and LG Electronics is working with developers to remove the residential proxy option from their apps on the webOS platform,” Taylor said. “If this option is not removed, these apps will be suspended.” Taylor said LG is committed to keeping residential proxy networks out of its smart TV apps going forward, and that the company’s review of those apps is “well underway now.” “As part of our ongoing efforts to enhance platform quality and the user experience, LG will continue to strengthen our evaluation process for developer-submitted apps, including those that incorporate residential proxy SDKs,” Taylor wrote in an emailed statement. App makers looking for ways to monetize their creations can turn to residential proxy providers, which pay developers to include SDKs that turn the user’s device into a residential proxy node that is rented to paying customers. In the case of LG and Samsung smart TVs, Spur found residential proxy SDKs bundled with everything from simple games like Pac-Man to screensavers and file utilities. Bright Data accounted for a majority of proxy SDKs across both Samsung and LG smart TVs. In a statement shared with KrebsOnSecurity, Bright Data said its network is built on consent and responsibility and operates by LG and Samsung terms. “Every peer opts in through a dedicated screen and receives value in return; every customer is vetted, and our practices have now undergone a second independent audit by PwC,” the statement reads. “We remain committed to an open, transparent internet where legitimate businesses, researchers, and institutions can responsibly access data that lives in the public domain.” Bright Data and other proxy providers named in Spur’s report all say they follow rigorous know-your-customer processes to validate legitimate uses of their services, which is often heavily tied to content-scraping activities by said customers. The proxy companies also say they incorporate technological countermeasures to prevent proxy service customers from being able to interact with and control other devices on the proxy user’s local network. Spur argues the problem is not that residential proxy networks exist, but rather that they are being embedded at scale in devices that most consumers do not think of as computers and are not equipped to audit. “A one-time consent prompt buried in a TV app is not a substitute for meaningful transparency, ongoing control, and platform oversight,” Spur’s Trevor Sutter wrote. “The risk is amplified when consent comes from individuals within the household who use the device but shouldn’t give consent, such as minors.” LG’s announcement that it is culling residential proxy SDKs from its app store is welcome news, but the company recently came under fire for another questionable partnership: Pimping McAfee security products via software drivers included in its high-end LCD monitors. Earlier this week, the Youtube channel Gamers Nexus showed that certain LG LCD monitors will automatically install an app that promotes paid McAfee antivirus subscriptions, and that the app arrives through Windows Update without an approval prompt. Update, July 22, 1:06 p.m. ET: Added statement from Bright Data.
krebsonsecurity.comJul 22, 2026extracted
Neo Emerges From Stealth With $100M to Control and Secure Enterprise AI Software
American-Israeli cybersecurity startup Neo emerged from stealth mode on Monday with $100 million in funding for a platform that enables enterprises to control and secure AI software. Neo received the investment across seed and Series A funding rounds from Andreessen Horowitz, Bessemer Venture Partners, Craft Ventures, and Merlin Ventures. The company will use the money to grow its engineering and go-to-market teams. Neo’s platform serves as a control layer that governs AI agents, AI-enabled applications, and traditional software across enterprise environments. Security operations teams can use the system to maintain a continuous catalog of active elements, such as agents, models, extensions, and MCP servers. Additionally, the solution evaluates these discovered assets to identify excessive access privileges and configuration vulnerabilities. The product includes real-time attribution mechanisms that trace individual software actions directly back to the originating human user, automated agent, or specific application identity. It can natively enforce granular policies for tool calls, data movement, agentic workflows, and API access. Security teams can restrict unauthorized activities or pause suspicious operations for manual review. Neo was founded by Nick Warner, Shlomi Salem, and Eran Shirazi. Warner serves as the company’s CEO, having previously held leadership roles at SentinelOne (president and COO), Cylance, McAfee, and Forepoint. Salem (CPO) previously led detection engineering at SentinelOne, while Shirazi (CTO) co-founded customer experience firm EasySend. “AI agents and agentic capabilities are being embedded into browsers, developer tools, SaaS platforms, and traditional applications, giving software the ability to reason, act, invoke tools, and move through workflows with valid user permissions,” said Warner. “Neo gives enterprises the real-time control layer they need to understand what agentic software can do, govern how it behaves, and secure adoption without slowing down the business.” Related: Beacon Security Raises $13 Million for Security Data Platform Related: Risk Ledger Raises $32 Million in Series B Funding Related: Oak Emerges From Stealth Mode With $60 Million in Funding
securityweek.comJul 20, 2026extracted
LabubaRAT Masquerades as NVIDIA Software to Control Windows Hosts
Cybersecurity researchers have flagged a previously undocumented Rust-based remote access trojan (RAT) codenamed LabubaRAT that masquerades as NVIDIA software to blend into target environments. "LabubaRAT creates a reusable foothold for hands-on activity," Blackpoint Cyber researchers Sam Decker and Nevan Beal said in an analysis published today. "Once deployed, it can profile the host, identify security tools, receive operator commands, move files, capture screenshots, and proxy traffic through the affected system." The implant also supports multiple communication methods, including HTTPS, WebView2, and DNS tunneling, allowing attackers to maintain access to compromised hosts even if one pathway is detected and closed off. There are some signs that LabubuRAT is being offered under a malware-as-a-service (MaaS) model. The starting point of the attack chain is an executable named "nvidia-sysruntime.exe," which impersonates NVIDIA's container runtime toolkit. The sample, instead of hard-coding its command-and-control (C2) information, accepts a runtime configuration through command-line arguments. This allows the campaign operator to define various parameters that are key to establishing communication with the remote server, including the server details ("pipicka[.]xyz") and the polling interval used by the implant. Alternatively, the attacker can also supply these individual values in the form of one single Base64-encoded argument. "Because those values were provided at launch, the same compiled binary could be reused with different infrastructure, organizations, or campaign groupings instead of relying on a hard-coded server," the researchers noted. The configuration is then stored in a local SQLite database, following which it undertakes discovery operations to inventory the list of web browsers and security products installed on the host, specifically checking for the presence of Google Chrome, Mozilla Firefox, Microsoft Edge, Brave, Microsoft Defender, CrowdStrike, SentinelOne, Carbon Black, Sophos, Malwarebytes, Bitdefender, ESET, Kaspersky, McAfee, Symantec, and Trend Micro. In addition, it gathers the hostname, RAM size, CPU model, and the Windows User Account Control (UAC) state as a way to prepare the environment for the next stage, as some RAT functionality may be dictated by the security tools present on the system. Once launched, LabubaRAT supports a wide range of functions, such as command execution, PowerShell execution, JavaScript execution, screenshot capture, file upload and download, archive handling, and SOCKS5 proxy support. "Those capabilities gave the operator enough control to interact with the host, move files in and out of the environment, route traffic through the system, and maintain access without relying on a separate loader or narrowly scoped follow-on tool," Blackpoint Cyber said. The malware is a reference to the "LabubaPanel" title associated with its C2 infrastructure and a Labubu-themed favicon. "The sample combined runtime configuration, local state, host profiling, multiple communication paths, and operator tasking into a complete remote access tool," Blackpoint Cyber said. "The malware gave an operator a practical way to enroll hosts, understand the environment around each agent, execute commands, move files, capture screenshots, proxy traffic, and maintain user level autostart." "The LabubaPanel branding provided the clearest external naming clue, but the more important finding is the framework-like structure behind it: a Rust based RAT built to be configured, enrolled, and operated across multiple deployments."
thehackernews.comJul 14, 2026extracted
Week in review: Accenture data breach, great open-source cybersecurity tools
Week in review: Accenture data breach, great open-source cybersecurity tools Here’s an overview of some of last week’s most interesting news, articles, interviews and videos: Securing the inbox: Where identity, brand and security meet Getting a verified logo to appear next to your email has traditionally meant having to work with two separate entities. You have to work with a DMARC partner for setting up DMARC and BIMI, then use a trusted Certificate Authority (CA) to purchase a Mark Certificate, and this means having to source a trusted partner for both which delays the project unnecessarily. Red Sift and GlobalSign have now folded both halves into a single package. Researchers make the case for a cybersecurity AI scientist Autonomous AI agents have started doing real security work. Language-model agents probe software for flaws, run penetration tests, and chain together attack steps that once needed a human operator. Research about security has stayed slower and more manual, built around expert scarcity and hand-designed experiments. A team at the Chinese Academy of Sciences wants to close that gap. In a recent paper, they define what they term the Cybersecurity AI Scientist. They describe a research system that moves from a question to experimental design, tool building, controlled execution, evaluation, and a written result on its own. OpenAI and Anthropic are pulling in different directions Companies are handing routine operational decisions to AI agents that plan, remember, and act on their behalf. These agents run on statistical models, and their behavior can drift across weeks and months. That drift opens a security gap outside the reach of standard monitoring tools. A study of about 1,080 open job postings at OpenAI and Anthropic maps where the two largest AI labs are taking this technology. Orbia CISO Miranda Ritchie on building security into sustainable infrastructure In this interview with Help Net Security, Miranda Ritchie, CISO at Orbia, talks about protecting industrial systems where software runs water, chemical and manufacturing processes. She explains why a cyber incident in these settings can harm people, equipment and the environment, and how spread-out sites and aging control hardware widen the risk. Your coding agent says no in chat and yes in the code Millions of developers share their keyboard with GitHub Copilot. Inside Visual Studio Code, it opens their files, writes and edits code, runs scripts, and reworks its own output across many turns. The safety testing that vets these agents still runs on chatbot rules: one harmful prompt, one response, graded alone. That rulebook misses where the real danger sits, according to a study from the Alan Turing Institute in London. Attackers exploit critical Adobe ColdFusion vulnerability (CVE-2026-48282) CVE-2026-48282, one of the maximum severity vulnerabilities patched in Adobe ColdFusion on June 30, 2026, has been targeted by attackers in the wild. Exploitation attempts were detected on July 2, through the honeypot sensors of cybersecurity threat-intelligence service KEVIntel, mere minutes after watchTowr researchers published a technical analysis of this and other ColdFusion flaws recently fixed by Adobe. Accenture acknowledges security incident following 35GB data theft claim Accenture appears to have suffered a data breach, the extent of which is currently unknown. On Monday, a threat actor going by the handle “888” posted on the cybercrime forum PwnForums, claiming to have breached the technology consulting company and stolen “just over 35gb of source codes” in July 2026. Attackers using Langflow flaw for credential harvesting (CVE-2026-55255) The US Cybersecurity and Infrastructure Security Agency (CISA) is warning about yet another Langflow vulnerability (CVE-2026-55255) leveraged by attackers in the wild. The flaw was added to the agency’s Known Exploited Vulnerabilities catalog on Tuesday, July 7, nearly two weeks after the Sysdig Threat Research Team observed it being actively targeted. Microsoft releases fix for RoguePlanet Defender flaw (CVE-2026-50656) Microsoft has finally released a security update for its Microsoft Malware Protection Engine, which fixes CVE-2026-50656, the Windows Defender local privilege escalation vulnerability triggered by the RoguePlanet exploit. Extortion crew hijacks Microsoft 365 accounts via fake passkey setup The Pink cyber extortion crew is tricking employees into giving them access to their Microsoft 365 accounts by faking Entra passkey enrollment requests. The attack starts with a vishing call to an employee. The caller poses as IT and says it’s time to set up a passkey. Everything after that is theater, built to keep the victim occupied while the attacker finalizes everything. How to implement a continuous offensive security testing program The hard part was never finding the exposure. It was deciding what to do about it: whether to patch, mitigate, monitor, or accept, and banking that that decision would still hold tomorrow. A penetration test answers this question for the day it runs, then quietly expires. The environment shifts, a control drifts, a new technique lands, and the report now describes a network that no longer exists. How to prioritize AI agent security by business impact Your CEO calls about an AI agent security incident in finance. He wants to know whether money moved, whether financial data was exposed, who owned the agent and why it had this level of access. The agent’s OAuth access remained active after its owner left. The access was valid, but no one verified it still served a legitimate business purpose. You need to know which AI agents create business risk and how far that risk can spread. Your company already adopted AI and nobody is governing access In this Help Net Security video, Antoine Berton, CTO at Elba Security, breaks down the AI attack surface. He maps five places where exposure lands, from standing OAuth grants and copilots that inherit human permissions to agent credentials stored in config files, missing off-boarding, and unclear authority when an agent acts. Turning software supply chain security into a daily habit In this Help Net Security video, Anastasia Tikhonova, Global Threat Research Lead at Group-IB, explains how to operationalize software supply chain risk. Instead of filing an SBOM away as a compliance document, she argues teams should use it every day for vulnerability triage, vendor access reviews, identity monitoring, and incident response. July 2026 Patch Tuesday forecast: Is CVE tracking still practical? In June, we saw the deluge of over 200 reported CVEs that I expected in May. There were 116 CVEs for Windows 11 and 104 for Windows 10. In addition, we saw large numbers in both common applications like Office and SharePoint Server as well as the host of development tools and libraries like Visual Studio and .NET. Will the trend continue this month? New ClamAV security patch closes seven scanner bugs dating back two decades Open source antivirus scanning sits inside mail gateways, file upload checks, and endpoint tooling at organizations of every size. Much of that work runs through ClamAV, the scanning engine maintained by Cisco’s Talos group. The project released two patch versions, 1.5.3 and 1.4.5, carrying fixes for seven security flaws along with smaller hardening changes. Flipper Zero firmware development gets a fresh set of community rules Owners of the Flipper Zero, the pocket-sized wireless testing tool, spent recent weeks worried that its official firmware had gone quiet. Pavel Zhovner, CEO of Flipper Devices, moved to settle that concern with word that the company has set aside staff to keep the firmware maintained and to support outside contributions. The work will run under a fresh set of rules covering feature requests, code submissions, and testing. Omnigent: Open-source AI agent framework and meta-harness Plenty of developers now keep several coding agents close at hand, reaching for Claude Code on one task and Codex or Cursor on the next. Each tool arrives with its own command line, its own handling of credentials, and its own way of running shell commands against a working directory. That spread leaves teams with a governance gap around where agent actions land and how much they cost. Review: Building Machine Learning Systems with a Feature Store Many people come to machine learning by training a model on a tidy dataset, and then meet a harder problem: making that model work for real users, on fresh data, every day. Jim Dowling’s O’Reilly book, Building Machine Learning Systems with a Feature Store, is written for that moment. Dowling, CEO of Hopsworks, based the book on a course he taught at KTH in Stockholm, so it reads like a guided walk through building real systems. macOS is becoming a proving ground for AI agents Somewhere right now, a Mac Mini is sitting on a shelf doing someone’s chores. Nobody’s watching it. It reads a version number out of Terminal, hops over to Safari, digs up a release year, then quietly files a reminder, the kind of dull three-app errand a human would grumble through in ninety seconds. The machine just works, hour after hour, an AI agent with hands on the keyboard and no one in the room. A single malware file can outweigh an entire AI dataset Antivirus vendors and security startups keep shipping AI features that promise to read malware the way a seasoned analyst would. The results inside security teams tell a quieter story. A new paper argues that static analysis of software, the job of deciding whether a program is malicious by examining its contents on disk, remains one of the hardest places to make generative AI work. Messaging fraud trends point to smarter attacks, stronger blocking Fraudsters spent 2025 investing in scale. New routes, new tools, and higher message volumes moved through the SMS, voice, and chat channels that businesses rely on to reach customers. Money follows that activity. The Communications Fraud Control Association puts global telecom fraud losses at around 42 billion dollars for the year, several billion higher than its estimate for the prior year. Open-source collaboration is growing worldwide and putting pressure on maintainers Developers are pushing code and opening pull requests across economy borders at a rate GitHub has rarely seen. Outbound collaboration, the sum of git pushes and pull requests sent from developers in one economy to public repositories in another, grew by 16% from Q4 2025 to Q1 2026, according to the latest GitHub Innovation Graph data. Malicious AI agent skills can slip past the scanners built to stop them AI coding agents can be extended with downloadable agent skills from public marketplaces. Because these skills run with the agent’s privileges, a malicious one can steal credentials, access source code, or install malware. Researchers at the Hong Kong University of Science and Technology developed SkillCloak to test how well existing skill scanners detect such threats. 5,811 arrests, $293 million seized over social engineering scams Criminals who pose as police officers, romantic partners, and business suppliers have built fraud operations that reach across continents. A four-month enforcement campaign against these schemes wrapped up, and police in 97 countries and territories took part. AWS gives its ERP agent deny-by-default rules and a separate identity Accounts receivable teams at large companies spend hours each day matching incoming bank payments to invoices by hand. When those payments sit unmatched for days, cash flow suffers and days sales outstanding climbs. The same pattern repeats across blocked invoices, purchase order approval holds, month-end close, and intercompany reconciliations in almost every industry. Most data brokers won’t tell you what happened to your deletion request Data brokers collect personal details on most adults in the United States and sell them to buyers that include employers, landlords, insurance companies, and government agencies. California gives residents a way to push back. You can ask a broker to delete your records, or to stop selling and sharing them. A team at UC Irvine decided to find out what happens when someone sends those requests to the whole California registry. The answer gives consumers little comfort. The open source library holding up your stack might have one maintainer Every serious software product runs on code that someone else wrote and released for free. A web service leans on a cryptography library, a data pipeline pulls in a parser, and a mobile app ships a handful of small utilities that one person maintains in spare time. All of it carries the same label. A new paper argues that the single label hides differences large enough to change how each piece behaves once it lands in production. The future of payment fraud could be automated Payment fraud is becoming more organized as criminal groups use fake websites, large-scale operations, and, in some cases, forced labor to steal money and personal information. Advances in agentic AI could automate many stages of payment fraud, from collecting and assembling stolen credentials to deploying password-cracking tools. OAuth, guest accounts, and weak MFA drive SaaS risk Organizations often create guest accounts to give contractors, suppliers, and partners temporary access to files and SaaS applications. Many of these accounts remain active long after they are needed, creating overlooked access paths to corporate data. Product showcase: Is that text a scam? Malwarebytes Mobile Security can help you find out Malwarebytes Mobile Security for iPhone combines scam prevention, privacy protection, and identity monitoring in a single app. It evaluates a device’s security posture, provides recommendations to improve protection, and is available for Windows, macOS, Android, iOS, and ChromeOS. OpenSSH 10.4 arrives with security fixes and a post-quantum signature option Operators who manage remote access to Unix and Linux systems keep a close watch on OpenSSH, the software that carries most SSH traffic across the internet. The project released version 10.4 with eight security fixes, a set of bug corrections, and a couple of new features. Power shortages could slow AI data center expansion AI adoption is increasing demand for data center capacity at the same time operators are running into limits around power, equipment, land, and permitting, according to NTT Data. Access to electricity is becoming a deciding factor in where new data centers are built, when new capacity comes online and how quickly AI projects can expand. Microsoft wants to keep your AI agents from going rogue Microsoft has introduced Microsoft Execution Containers (MXC), a cross-platform, policy-driven execution layer for AI agents on Windows and Windows Subsystem for Linux (WSL), now available in early preview. Developers can define constraints for their applications and agents, and Windows enforces them at runtime through MXC. Apple Container: Open-source tool for Linux containers on the Mac Developers on Apple silicon Macs have run Linux containers through software built around a single shared virtual machine for years. Apple’s open-source Container project gives each Linux workload its own lightweight virtual machine. Claude Cowork turns your phone into a remote control for AI work Anthropic started rolling out Claude Cowork, an AI agent that completes multi-step tasks, in beta for Max users on mobile and the web. They describe a goal, and Claude plans the work, uses the required tools, and produces outputs such as documents, spreadsheets, presentations, and reports. 20 open-source cybersecurity tools to keep your team ready for anything AI is changing how security teams find vulnerabilities, analyze code, test applications, and protect infrastructure. Developers are building tools to secure AI systems themselves, from coding agents and memory protection to model exposure discovery. This roundup covers recent open-source releases for vulnerability research, application security testing, container security, endpoint protection, AI security, and penetration testing. Thousands of malicious AI skills found capable of stealing data, running malware AI agents can browse the web, use external tools, execute commands, and perform tasks on behalf of users. Many rely on skills that define how they interact with services and data. Malicious skills can abuse those capabilities to steal data, execute malware, or manipulate an agent’s behavior, according to the H1 2026 ESET Threat Report. Wireshark 4.6.7 patches a dozen security flaws Network analysts who open packet captures in Wireshark push untrusted data through a large set of protocol dissectors, and each parser is a spot where a malformed frame can trip up the software. The 4.6.7 maintenance release closes twelve of those weak points. The fixes reach from cellular signaling parsers to the code that reads capture files off disk. Product showcase: Protect your iPhone with McAfee Mobile Security McAfee Mobile Security for iOS combines scam protection, web protection, VPN, Wi-Fi security, and device security checks in a single app. It is also available for Android. The fake report message that ends with a stolen Reddit account A direct message arrives on Reddit from a stranger, and it invites a reply. That reply is the point. This scheme runs on social engineering, with no malware and no malicious links, and it has spread across Reddit, Discord, and similar platforms. The goal is a single piece of information: a login or verification code that hands your account to someone else. AWS centralizes access, spending, and governance for Claude Claude apps gateway for AWS is a self-hosted control plane that gives organizations a single point of control over access, costs, and policies for Claude Code and Claude Desktop. It replaces per-developer cloud credentials, manual distribution of managed settings to developer laptops, and centralizes usage attribution and spending controls. Only 28% of financial workforce MFA is phishing-resistant Passwords remain part of many workforce authentication flows in financial organizations, making phishing and credential theft major identity security risks, according to a new Secret Double Octopus report. Microsoft is rewriting Windows patch guidance because of AI Microsoft is recommending that organizations shorten Windows update deployment timelines, warning that advances in AI are reducing the time attackers need to identify and exploit vulnerabilities after security updates are released. Cybersecurity jobs available right now: July 7, 2026 We’ve scoured the market to bring you a selection of roles that span various skill levels within the cybersecurity field. Check out this weekly selection of cybersecurity jobs available right now. New infosec products of the week: July 10, 2026 Here’s a look at the most interesting products from the past week, featuring releases from Attestiv, Automox, Codenotary, and First Recon AI.
helpnetsecurity.comJul 12, 2026extracted
Product showcase: Protect your iPhone with McAfee Mobile Security
Product showcase: Protect your iPhone with McAfee Mobile Security McAfee Mobile Security for iOS combines scam protection, web protection, VPN, Wi-Fi security, and device security checks in a single app. It is also available for Android. After downloading the app from the App Store, I created an account and completed a short onboarding process. The app asks whether you want to receive notifications before offering to run a Smart Scan. The scan checks the device configuration and the Wi-Fi network and reports whether it finds any issues. During testing, it verified the iPhone’s security settings and reported that the connected Wi-Fi network was safe. The home screen is divided into two sections: Scam protection and Device. Every feature includes a short description and its current status. Features that require additional permissions display a Set up or Turn on button on the dashboard. Scam protection The Scam protection section includes QR Code Scams and Text Scams. The QR code scanner lets users check whether a QR code is safe before opening it. Text Scams requires additional permissions during setup. Once enabled, McAfee scans incoming SMS messages and moves messages it identifies as risky to the Spam folder in Apple’s Messages app. Users can enable SMS reporting to improve scam detection. Device protection The Device section includes Safe Browsing, Secure VPN, Wi-Fi Scan, and System Scan. Safe Browsing integrates with iOS to block access to known malicious websites. The protection also applies when opening links from QR codes and social media apps. Enabling the feature requires installing a local VPN profile used for web filtering. Secure VPN creates a VPN connection that encrypts internet traffic. During setup, McAfee explains that it can automatically enable the VPN when the device connects to an untrusted wireless network. It supports split tunneling, allowing selected apps to bypass the VPN. Wi-Fi Scan analyzes the current wireless network and reports whether it is safe. Trusted networks can be added to a list so the app won’t prompt users to enable the VPN when connected to them. System Scan checks device settings such as the iOS version and passcode configuration. Scan results are displayed on the dashboard, where users can rerun the scan at any time. Settings The Settings section groups account information and security features in one place. From there, users can manage Scam Detector, Secure VPN, Wi-Fi Scan, notifications, and account settings. The app includes a Protection Score, which assigns a score based on enabled security features and completed security checks. The score updates as additional protections are configured. Conclusion McAfee Mobile Security is easy to use and makes its security features accessible through straightforward onboarding and an intuitive interface. It explains the permissions and steps required to enable each protection, helping users configure the app with minimal effort.
helpnetsecurity.comJul 9, 2026extracted
New Avalon Malware Framework Packs CrownX Ransomware Capabilities
Cybersecurity researchers have discovered a previously undocumented modular malware framework codenamed Avalon that's distributed by means of a multi-stage phishing chain capable of bypassing traditional security controls. Avalon combines credential collection, lateral movement, remote access, recovery disruption, and ransomware execution, bringing together diverse functions under one umbrella. The ransomware component has been internally named CrownX. "The attack began with a spoofed legal document email directing recipients to a password protected archive on Proton Drive," Blackpoint Cyber researchers Nevan Beal and Sam Decker said. "Malicious content was embedded inside an ISO image rather than attached directly, reducing the likelihood of detection at the email layer." Should the email recipient interact with a document-themed Windows Shortcut ("Secure Document CA-283505.pdf.lnk") inside the mounted image, it triggers a staged malware sequence that culminates in the deployment of Avalon. Specifically, the shortcut runs a command to launch an MSBuild project located in the ISO image. The MSBuild project, for its part, loads an embedded .NET assembly, which then interferes with the regular functioning of Event Tracing for Windows (ETW) to reduce forensic visibility and download a next-stage payload over HTTPS responsible for launching Avalon. The malware framework boasts of an extensive defense evasion subsystem that aims to evade detection, while incorporating specific methods to conceal execution from security tools associated with Microsoft Defender, SentinelOne, CrowdStrike, Sophos, Elastic Endpoint, FortiEDR, ESET, McAfee, and Bitdefender. "These capabilities give the framework a multitude of ways to reduce telemetry, bypass user mode monitoring, and adjust its execution depending on the defensive controls present on the host," the researchers said. The complete set of features built into Avalon is as follows - Harvest credentials, cookies, history, and bookmarks from Chromium-based browsers and Mozilla Firefox. Gather data from cryptocurrency wallet apps like MetaMask, Phantom, Coinbase Wallet, Exodus, Electrum, Atomic Wallet, Ledger Live, and Bitcoin Core, along with Discord, Slack, Teams, OpenVPN, WireGuard, and Windows Credential Manager. Collect details about SSH known hosts, saved RDP connections, Wi-Fi profiles, and Group Policy Preferences cpassword artifacts. Exfiltrate data to a remote server ("helloxcherry[.]com") and poll the server for receiving tasking commands. Perform reconnaissance and prioritize systems that can expand the scope of the compromise. Encrypt files associated with business operations, software development, engineering, data storage, and virtual infrastructure using Windows Cryptography API and deliver a ransom note containing payment instructions and deadline timers that show how much time is left before the ransom amount is increased. Inhibit system recovery by terminating the Volume Shadow Copy Service and deleting shadow copies. Remove traces of artifacts using an anti-forensic cleanup subsystem to complicate incident response efforts. Directly interact with disk structures likely in an effort to damage partition information, boot records, or other critical areas of the drive, effectively rendering the system unusable. "CrownX represented the final extortion stage, but the damage extended well beyond the encryption itself," the company said. "By the time the ransom note appeared, the broader framework had already collected credentials, established C2 communications, prepared multiple paths for lateral movement, and weakened local recovery options." Another important detail is that Avalon shows signs of artificial intelligence (AI)-assisted development, one that has assembled multiple components with scant regard for sophisticated tradecraft or operational security, something that requires significant expertise to build. The findings are yet another sign of how AI can lower the barrier to entry, making malware development more accessible with little time and effort, and even allowing actors with little technical expertise and resources to come up with tools that may require extensive development effort. In other words, the presence of a certain capability is no longer a reliable indicator of a threat actor's sophistication or operational maturity. "The kill chain illustrates how a familiar business lure can progress into a reusable, multi-capability framework designed to harvest credentials, retrieve subsequent payloads entirely in memory, and stage multiple follow-on actions from a single compromised endpoint," Blackpoint Cyber said. LLM Behind an Agentic Ransomware Attack The disclosure comes as Sysdig detailed what it said was the first publicly documented agentic ransomware infection driven by a large language model from start to finish, while retrying and tweaking its actions in real-time to complete tasks. The agentic threat actor (ATA) behind the operation has been codenamed JADEPUFFER. The operator "gained initial access to an internet-facing Langflow instance through CVE-2025-3248 and ran an adaptive and fully automated campaign, ultimately pivoting to the intended target and running a destructive database-extortion playbook against the victim's production database server," Sysdig's Michael Clark said. "The skill floor for running ransomware has dropped to whatever it costs to run an agent, and if that agent is running on stolen credentials through LLMjacking, the cost to an attacker is close to zero." AI Malware That Uses LLM in a Codeless Attack The findings also follow the discovery of an AI malware that brings together a Telegram bot with a public LLM API to devise a codeless attack. Once launched, the implant transmits basic details about the compromised system to the attacker's Telegram bot and enters into a command-and-control (C2) loop that polls the bot API every 5 seconds for new messages. The results of the command execution are exfiltrated back using the same channel. The speciality of this malware is that each operator message is forwarded to a public LLM API endpoint ("api.groq[.]com/openai/v1/chat/completions"), which then translates the natural language instructions provided by the attacker into its equivalent shell command. The artifact was uploaded to the VirusTotal platform on March 11, 2026, and has zero detections across all engines to date. "This work introduces an LLM translation layer that replaces shell syntax with plain text. The attacker types plaintext instructions in Telegram," Palo Alto Networks Unit 42 said. "The LLM translates the instructions into shell commands. And the victim executes the shell commands. No command-line knowledge is required."
thehackernews.comJul 3, 2026extracted
Silent Swap Crypto Clipper Uses Fake Google Notes Extension to Replace Wallet Addresses
Cybersecurity researchers have flagged an active browser extension campaign that is designed to steal cryptocurrency by stealthily replacing wallet addresses when unsuspecting users initiate a transaction. The cryptocurrency clipper activity has been codenamed Silent Swap by McAfee Labs. "The campaign is delivered through unsigned installers – observed in both .NET and Golang variants – that deploy a malicious Chromium extension masquerading as a benign 'Google Notes' utility," the cybersecurity company said in a technical report shared with The Hacker News. The unsigned .NET installer, named BaseZipInstaller, is designed to retrieve a ZIP archive, which serves as a foundation for the malicious browser extension by scanning the system for Chromium-based browsers. For each detected profile in those browsers, it forcibly terminates the browser process and injects the extension by modifying the Secure Preferences and Preferences files. The end goal of the extension is to act as a clipper that's capable of intercepting and manipulating wallet addresses copied into the system clipboard with the goal of rerouting the funds to an attacker-controlled wallet. To realize its goals, the bogus Google Notes extension requests users to grant it permissions to access the clipboard, all URLs, and the browsing history. Because most transactions on the blockchain are irreversible, an address swap can result in permanent financial loss. McAfee Labs said the activity overlaps with a prior CountLoader campaign that delivered a crypto clipper, with evidence pointing to the same threat actor behind both clusters. A McAfee Labs spokesperson told The Hacker News that the initial access mechanism involves victims running a malicious file that launches CountLoader, which then fetches and installs additional payloads, in this case, a rogue browser extension. "Our research did not conclusively identify whether those initial installers are primarily distributed through phishing, malvertising, or another social engineering technique, so we can't attribute the campaign to one specific distribution method," the spokesperson added. "However, we do know attackers have commonly used phishing email attachments, game cracks, and similar social engineering tactics to trick victims into installing CountLoader." What makes Silent Swap stand apart is the use of a technique called EtherHiding that uses the blockchain as a dead drop resolver to retrieve the active command-and-control (C2) server details. This allows the attacker to trivially update a smart contract value to point to the new domain instead of having to redeploy the malware itself. The second aspect revolves around the covert installation of the browser extension on Chromium-based browsers like Google Chrome, Microsoft Edge, Brave, and Vivaldi by modifying protected browser settings files. The attack, however, hinges on enabling the developer mode for newer versions of the browsers, something that a threat actor can accomplish through social engineering tactics. "Normally, these browsers store security verification data (hash/HMAC values) alongside sensitive settings to detect unauthorized changes," McAfee said. "The malware recalculates and updates these security values after tampering with the files, tricking the browser into believing the malicious extension was installed legitimately." "This allows the extension to bypass the normal extension web store installation process and load silently without user approval." The campaign's persistence and evasion posture has been characterized as deliberate and layered, with the primary focus being on maintaining low visibility to the end user and high resilience against takedown and static analysis. Persistence is established by registering the extension by altering the browser's Secure Preferences file so that it's loaded on subsequent browser launches without the need for a separate mechanism. In addition, the malware attempts to enable developer mode programmatically in Brave and Opera, and the installer is self-deleted after execution, effectively removing an indicator of initial compromise. Another evasion technique is the use of dynamic wallet substitution, which is responsible for fetching a replacement address corresponding to a victim's original address. "It sends the intercepted wallet address to the attacker backend and uses the response to dynamically substitute the original address," McAfee said. "If the backend request fails, the function falls back to a predefined hard-coded wallet address, ensuring uninterrupted malicious activity." For every wallet address matching patterns associated with Bitcoin (BTC), Ethereum, Bitcoin Cash, Ripple, and Dash, it's mapped to a unique attacker-controlled address on the server-side. In contrast, all submitted Solana addresses resolve to a single attacker address. As of writing, the Solana address has been found to have a balance of $1,902.45. "Each submitted address is mapped to a unique attacker-controlled address. Re-submitting the same original returns the same replacement, indicating a deterministic one-to-one mapping maintained server-side. Telemetry data suggests that infections are globally distributed, with a higher concentration of victims reported in India. Other countries impacted by the campaign include the U.S., Brazil, Indonesia, and Spain. "This campaign is a concise illustration of where consumer-targeted cryptocurrency theft is heading," McAfee said. "Static attacker addresses have been replaced with a server-side, per-victim mapping. Fragile, hard-coded command-and-control domains have been replaced with a blockchain-resolved lookup that an operator can rotate with a single transaction." Chrome and Firefox Extensions Posing as Free VPNs Add Clipboard Stealers The disclosure comes as Socket reported on a pair of malicious Chrome and Mozilla Firefox browser extensions, both carrying the name "VPN Go: Free VPN" on the Chrome Web Store and Firefox Add-ons marketplace. "Both extensions present themselves as free VPN tools and include visible proxy functionality," Socket researchers Kirill Boychenko and Kush Pandya said. "Under the hood, both also contain malicious clipboard theft logic that continuously monitors copied text and exfiltrates it to threat actor-controlled infrastructure." The behavior extends beyond wallet addresses, as it allows the operators to siphon all kinds of sensitive data, including passwords, authentication codes, API keys, OAuth tokens, and seed phrases. Further examination of the extensions has revealed a staged malicious update pattern, where the extension developer initially published a benign version to the extension storefront before introducing the clipboard-stealing capability through a subsequent update. While versions 1.1 and 1.2 of the Chrome extension have been found to exfiltrate clipboard data to "178.236.252[.]133," version 1.3 switches the exfiltration channel to a different IP address ("77.91.123[.]187"). In the case of its Firefox equivalent, 1.3.3 is the first version to include the clipboard stealer and send the information to "178.236.252[.]133." The 1.3.4 update moves the infrastructure to "77.91.123[.]187." Users who have installed either of the extensions are advised to remove them immediately and treat any secrets copied while the extension was active as compromised. "The static code is enough to show that the extensions were designed to function as proxy tools, not merely display a fake VPN interface," Socket said. "The proxy capability still increases risk because it can route browser traffic through threat actor-supplied infrastructure, expose plaintext HTTP traffic and connection metadata, and make the extension appear useful while the clipboard monitor runs in parallel." (The story was updated after publication on July 1, 2026, to include a response from McAfee Labs.)
thehackernews.comJun 30, 2026extracted
Order-tracking app Shop abused to push callback phishing attacks
Threat actors are increasingly abusing Shop, the order-tracking app from Shopify, by adding fake purchase receipts in users' order histories to trick them into providing sensitive data or installing remote access software. The Shop digital shopping assistant serves as a centralized platform where users can track orders from multiple online retailers, access receipts and shipping updates, and discover and purchase products from merchants that use Shopify. The app is very popular in North America, where support and purchasing options are more substantial. It has 50 million downloads on Google Play and 7 million ratings in Apple's App Store. According to cybersecurity company Gen Digital, scammers are inserting fake orders that appear alongside legitimate purchases, impersonating brands such as Norton, McAfee, Apple, and PayPal. The threat actor also listed a phone number in the digital receipts that users can call to dispute purchases. However, at the other end is a scammer posing as a support agent. Using social engineering tactics, the fraudster tries to convince the victim to disclose account credentials, payment card details, and temporary authentication codes (OTPs). In some cases, the researchers say that victims are tricked into installing software that grants remote access to the device. Gen Digital researchers note that inserting the fake receipts in the Shop app is a more effective method than using email to deliver fraudulent purchase notifications, a more common technique known as callback phishing. Shop is a legitimate shopping app, and users inherently trust it, so orders that appear there are far more likely to prompt responses from unsuspecting users. However, the researchers say that many of the false receipts contain poor grammar, which is an obvious red flag. Nevertheless, users may miss the mistakes when they see an invoice for a large purchase. Despite the observed wave of fraudulent invoices, it is unclear how they are inserted into the Shop app. The researchers say that Shop can populate orders from multiple sources, including email parsing, account association, and order workflows, but no particular one could be confirmed as the delivery channel for the fraudulent notifications. Gen Digital underlines that they found no evidence that Shop, Shopify, or any of the impersonated companies were compromised. BleepingComputer has reached out to Shopify and a spokesperson said that the company implemented new controls to reduce the fraudulent activity. "We identified bad actors misusing our platform to generate fake order notifications and rolled out new controls that have significantly reduced this activity and improved our ability to detect it going forward." Shopify recommends users that receive a suspicious notification to "avoid calling any phone numbers in it and report the store directly in the Shop app." Until the situation clears up, users who see receipts for orders they didn’t place on Shop are advised not to call the phone number listed on them, but instead to verify any alleged charge directly with their bank. Those who have already contacted the scammers and disclosed sensitive information should immediately reset their account passwords and contact their card issuer for cancellation. Update [June 26]: Article updated with statement from a Shopify spokesperson. Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply. The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments. Get the report
bleepingcomputer.comJun 25, 2026extracted
Gentlemen ransomware uses multiple EDR killers to disable defenses
The Gentlemen ransomware-as-a-service (RaaS) is actively developing and maintaining a suite of endpoint detection and response (EDR) killers to help affiliates evade detection in attacks. The gang employs a collection of EDR-killing tools, most notably a utility that researchers dubbed GentleKiller. The tool has at least eight variants and impersonates various legitimate security products, including Kaspersky, Valorant, Javelin, and WatchDog. The gang is using a suite of EDR killers, the most frequently used being a custom tool that researchers named GentleKiller, which has at least eight variants impersonating various legitimate products. An EDR killer is typically used to disable defenses in the early phases of an attack, and in ransomware incidents, they ensure that data theft or encryption processes run unencumbered. These tools work by leveraging the 'bring your own vulnerable driver' (BYOVD) technique to elevate privileges and disable security engines. According to ESET researchers, each GentleKiller variant uses different vulnerable drivers to achieve kernel-level privileges. However, they all share common strings, identical code obfuscation techniques, and similar process-killing logic and targeting scope. The analysis of the variants indicates that the framework is designed to allow easy driver swaps or weaponization of newly disclosed flaws without requiring major code changes. ESET states that GentleKiller targets more than 400 processes associated with approximately 48 security vendors/products, such as Microsoft, CrowdStrike, SentinelOne, Palo Alto, Sophos, Trend Micro, ESET, Bitdefender, McAfee/Trellix, and Kaspersky. The binaries for the EDR killer tool are protected by the commercial Enigma and Themida packing and code-protection tools. ESET notes that the threat actor also uses stolen digital signatures from legitimate software, although they are invalid. Although GentleKiller is a standardized tool used in Gentlemen ransomware attacks, ESET reports that the threat group's collection of EDR killers also incorporates at least three external tools: HexKiller, previously used by the Warlock gang ThrottleBlood, linked to MesudaLocker and DragonForce attacks HavocKiller, also seen in ransomware operations Gentleman RaaS may have added them for redundancy, attribution complexity, or for use in specific cases where the effectiveness of GentleKiller might be limited. Additionally, ESET documented the use of OxideHarvest, a Rust-based credential-stealer tool that the researchers believe, based on the programming language choice, was developed externally. The researchers' analysis indicates that Gentlemen ransomware picks targets based on the configuration of their FortiGate endpoints. This is particularly interesting given the recent discovery of “FortiBleed,” a collection of nearly 74,000 FortiGate VPN credentials. The Gentlemen RaaS previously compromised the Romanian energy provider Oltenia and has been linked to a SystemBC proxy malware botnet with over 1,570 hosts, believed to be corporate victims. Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply. The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments. Get the report
bleepingcomputer.comJun 18, 2026extracted
Week in review: Cisco SD-WAN 0-day exploited, Patch Tuesday forecast
Week in review: Cisco SD-WAN 0-day exploited, Patch Tuesday forecast Here’s an overview of some of last week’s most interesting news, articles, interviews and videos: OWASP Agent Memory Guard: Stop AI agents from being weaponized through their own memory Agent Memory Guard is an open-source runtime defense layer that sits between an agent and its memory store, screening every read and write through a pipeline of detectors and a YAML policy. The project is the OWASP reference implementation for ASI06, Memory Poisoning, one entry in the OWASP Top 10 for Agentic Applications. Data discovery gaps that catch enterprises off guard In this interview with Help Net Security, Avani Desai, CEO at Schellman, talks about the gap between what organizations think they know about their data and what discovery scans turn up. She shares stories of shadow data in abandoned cloud storage, post-merger surprises where duplicated datasets slowed integration, and why synthetic data is overmarketed while confidential computing stays underappreciated. Zero trust physical security needs trust decisions at the edge In this interview with Help Net Security, Chuck Davis, VP, Global Information Security at Hikvision, explains how zero trust applies to physical security systems like cameras and door controllers. He breaks down how to make trust decisions at the edge without recreating old perimeter assumptions, why these devices should be treated as IT assets, and what the Mirai botnet taught the industry. A small Slovenian team handles 6,000 cyber incidents a year Online fraud complaints, ransomware cases, and phishing tips reach Slovenia’s national cyber response center in steady volume, and a team of around a dozen analysts sorts through them. Gorazd Božič, who manages SI-CERT at the public agency ARNES, described that work in an interview conducted in person at the Span Cyber Security Arena conference. He put the original proposal for a Slovenian CERT to ARNES leadership in 1994, and the center now records about 6,000 incidents a year, up from roughly 300 ten to fifteen years earlier. Only 11% of production agents pass the AI agent security bar Enterprise teams are running AI agents that write code, drive browsers, answer customer calls, manage cloud infrastructure, and query data warehouses with standing credentials. A new independent assessment of 100 production agents finds that nearly all of them carry the conditions for a single hostile document to take them over. Spotless compliance evidence can still hide a broken control In this interview with Help Net Security, Marc Rubbinaccio, Head of Cybersecurity and Compliance at Secureframe, explains where security teams go wrong when preparing for CMMC and FedRAMP 20x. The conversation covers how organizations check the 110 requirements but miss the 320 assessment objectives beneath them, why spotless SOC 2 evidence can hide a broken control, and how continuous monitoring is changing compliance work. OAuth marketplace apps keep access after publishers vanish Installing an app from the Google Workspace Marketplace or GitHub Marketplace can grant a third party access to company email, files, calendars, code repositories, CI workflows, organization settings, and secrets. Marketplace presence gives these apps the appearance of approval. The OAuth grants behind them often reach into business systems beyond the listed function. Thieves can pull off keyless car theft in under a minute and here’s how to stop them A keyless car can be stolen in under a minute. Two people, a pair of cheap radio amplifiers, and a fob sitting on a hallway table inside the house. That is enough. No broken glass. No alarm. No sound. The vulnerability runs across the global market. Germany’s largest auto club, ADAC, runs ongoing tests of keyless models against relay attacks. AgentGG: Open-source agentic SAST scanner Static analysis tools have spent years matching source code against known-bad patterns and handing engineers long lists of candidate issues to triage by hand. AgentGG approaches the same job with AI agents that read the code, follow imports, walk the call graph, and confirm a finding before they report it. The project is an open-source agentic SAST scanner released under the Apache 2.0 license. Hackers are exploiting Palo Alto GlobalProtect VPN authentication bypass (CVE-2026-0257) Authentication bypass vulnerabilities (CVE-2026-0257) in Palo Alto Networks’ firewalls that the company disclosed on May 13 have been targeted in “limited exploit attempts”. The good news, though, is that the company hasn’t observed any indication of successful lateral movement from the devices. How NIST fumbled management of the National Vulnerability Database A US federal watchdog has outlined how the National Institute of Standards and Technology (NIST) failed to effectively manage the growing backlog of unprocessed cybersecurity vulnerabilities in the National Vulnerability Database (NVD). Windows Netlogon RCE exploited, domain controllers at risk (CVE-2026-41089) CVE-2026-41089, a critical Windows Netlogon RCE flaw that allows remote code execution, is now actively exploited in the wild, the Centre for Cybersecurity Belgium (CCB) warned last Friday. CVE-2026-41089 is a stack-based buffer overflow vulnerability in Windows Netlogon, the service and protocol that handles authentication and security within a Windows domain environment. Google fixes actively exploited Android vulnerability (CVE-2025-48595) Google has announced the June 2026 Android security updates, which fix a bucketload of vulnerabilities, including a high-severity vulnerability (CVE-2025-48595) in the Android Framework that “may be under limited, targeted exploitation.” Autonomous AI-driven worm can reason its way through corporate networks Researchers at the University of Toronto, the Vector Institute, and the University of Cambridge have built and tested a proof-of-concept AI-driven worm that does not operate on a fixed list of exploits. Instead, it analyzes each target it encounters, reasons about how to attack it, and creates a strategy on the fly, all with the help of a small, free large language model (LLM) running directly on machines it has already compromised. Cisco SD-WAN 0-day exploited, no patch available (CVE-2026-20245) A 0-day privilege escalation vulnerability (CVE-2026-20245) in Cisco Catalyst SD-WAN Manager that has yet to be patched by Cisco is being leveraged by attackers. June 2026 Patch Tuesday forecast: Where are the CVEs? Forecast from last month was only partly right. After the Anthropic Mythos announcements and the deluge of newly discovered vulnerabilities from vendors like Mozilla, Microsoft’s updates were standard fare, 65 CVEs reported in Windows 11 and 58 in Windows 10. The modern-day business can learn a lot about risk from this year’s mega events Every year brings its share of global events, but 2026 is proving to be a banner year for mega-scale entertainment. The year got off to a roaring start with the Winter Olympics, and now anticipation is building for the fast-approaching FIFA World Cup. But amid the buzz, have you ever paused to consider the staggering level of risk inherent to such large-scale events? Or how impressive it is that organizers are able to manage that risk so successfully? From critical to controlled: Cutting vulnerabilities in a live manufacturing environment A vulnerability scanner flags a critical CVSS 10 vulnerability on an industrial asset. The report lands in the boss’ inbox and now he wants to know why we’re sitting on a critical vulnerability. In a normal IT environment, you patch it then close the ticket and call it a day. If, however, you’re in OT or dealing with ICS in a live manufacturing facility, it’s rarely that simple. Why you need BAS and autonomous pentesting together A new autonomous penetration testing tool delivers impressive results at first—finding critical issues, uncovering undocumented attack paths, and exposing forgotten accounts. But by the fourth or fifth run, the discoveries dry up. The tool keeps reporting the same stale issues, and the dashboard becomes another source of noise. What seemed like continuous validation quietly turns into a repeat of the same well-worn attack paths. Governing shadow AI without killing innovation In this Help Net Security video, Alan Snyder, CEO at NowSecure, talks about governing shadow AI without stopping innovation. He frames the problem as two opposing forces. Companies need to adopt AI fast because attackers and competitors will outpace them otherwise, but they also need to do it safely. What CISOs need to do about post-quantum migration in the next 24 months In this Help Net Security video, Garfield Jones, SVP Global Strategy and Research, QuSecure, lays out what CISOs should do over the next 24 months. A recent Google paper moved the expected arrival of a cryptographically relevant quantum computer from 2035 to 2029, leaving organizations about two and a half years to prepare. AI agent governance gets harder when agents outnumber your people In this Help Net Security video, Amit Gautam, CTO at Abluva, explains the security risks that autonomous AI agents bring into enterprise environments. EU organizations buckle under rising compliance pressure Cybersecurity governance in the EU is shifting under expanding frameworks such as NIS2 and DORA, while AI raises new questions for security teams. What the future brings is hard to predict, and organizations must find a way to cope. Antonija Vojnović, Governance, Risk and Compliance Department Manager at Span, spoke with Help Net Security at the Span Cyber Security Arena conference about how these regulatory frameworks are shaping compliance priorities and day-to-day decision-making. DNS-AID lets AI agents find and verify each other through DNS AI agents run across many platforms, and each one needs a way to locate and confirm the identity of the others it works with. The Linux Foundation’s DNS-AID project gives them that capability through the Domain Name System, the same address lookup system that has directed internet traffic for decades. The project lets AI agents and Model Context Protocol (MCP) servers use DNS as a global, vendor-neutral directory for publishing, discovering, and verifying one another. Brute-force attack triggers Dashlane account lockouts Password manager Dashlane has confirmed that a brute-force attack targeting user accounts triggered temporary account suspensions and authentication issues. The company first acknowledged the incident on May 31 after users reported receiving account suspension emails and experiencing login problems. Meta tries to get ahead of scammers before the World Cup begins Football fans are counting down the days until the FIFA World Cup begins, and scammers are doing the same. Last week, the FBI warned that cybercriminals are spoofing FIFA websites to steal personal information, sell fake tickets, and promote fraudulent hospitality packages ahead of the tournament. Sensitive government personnel data posted online, Spanish police arrest suspect The Spanish National Police arrested a man in Granada for allegedly leaking personal data belonging to members of several sensitive state institutions. 64,000 accounts exposed in breach of GTA V cheat service Atlas Menu Atlas Menu, a cheat service for Grand Theft Auto V and Counter-Strike 2, has been added to the Have I Been Pwned database following a data breach that exposed tens of thousands of user records. The incident exposed approximately 64,000 accounts, including email addresses, usernames, IP addresses, support tickets, and passwords hashed with bcrypt. Anthropic expands Project Glasswing to 150 organizations in more than 15 countries Anthropic is expanding Project Glasswing, its cybersecurity initiative built around the Claude Mythos Preview model, by adding about 150 organizations following several weeks of work with its initial group of partners, security firms, open-source maintainers, and government agencies. Malware campaign targeting Minecraft users infects over 116,000 systems A Malware-as-a-Service (MaaS) operation named WeedHack is targeting Minecraft users and allows threat actors to gain remote access to victims’ screens, webcams, and files through a web-based dashboard, McAfee researchers found. Microsoft responds to security challenges facing code, AI agents, and models Microsoft has introduced a series of security tools and capabilities focused on AI-driven vulnerability discovery, AI agents, and AI models. The updates include a multi-agent vulnerability discovery system, new controls for managing and securing AI agents, data protection capabilities, and tools designed to identify potentially vulnerable or compromised AI models before deployment. AI is helping low-skill hackers pull off advanced cyberattacks Anthropic has published an analysis of cyber-related misuse of its AI systems, examining 832 accounts that were banned for malicious cyber activity between March 2025 and March 2026. The company mapped the observed behavior to the MITRE ATT&CK framework, which documents tactics and techniques used by attackers. Attackers obtained encrypted password vaults from some Dashlane user accounts Dashlane has disclosed new details about a brute-force attack that let a threat actor access some customer accounts and copy encrypted vaults. Dashlane said it found no evidence that the attackers compromised its internal systems. The company first acknowledged the incident on May 31 after users reported receiving account suspension emails and experiencing login problems. 145 AI laws passed in 2025 and privacy teams aren’t catching a break 145 AI-related laws were enacted by state legislatures in 2025, and more than 1,000 additional bills were introduced or revised, according to DataGrail’s Privacy and AI Trends Report 2026. NVIDIA goes open source with a big batch of physical AI agent tools NVIDIA just dropped a big batch of open-source “physical AI” skills and tools, and they’re designed to make a roboticist’s life a whole lot easier. The idea? Take the messy, complicated work behind robots, self-driving cars, vision AI, and industrial digital twins, and break it into bite-sized tasks that AI agents can actually run themselves. Microsoft Defender Vulnerability Management gets a smarter exposure score Microsoft Defender Vulnerability Management’s updated exposure score model adds vulnerability risk signals and asset context to help teams understand where risk is concentrated and which remediation actions are likely to have the greatest impact. The model is available in public preview. This AI model backdoor attack stays hidden until you customize the model Most teams that deploy AI start with a backbone model. They download a large pre-trained system, adapt it to a specific task, and put it into production. The download step carries a security question: the origin of the model. A research team built an attack called BadBone. It plants a backdoor inside a backbone model. Downstream tasks that adapt the model inherit the backdoor. The name points at the target. Corrupt the skeleton, and systems built on top of it carry the flaw. OpenAI brings frontier AI to existing AWS environments OpenAI frontier models and Codex are now available on AWS, giving customers access to OpenAI capabilities within AWS environments and the controls needed to move more quickly from evaluation to deployment. These capabilities are available through OpenAI models on Amazon Bedrock, a platform for building generative AI applications and agents at production scale. The platform enables teams to build AI applications using AWS-native security and governance controls. KDE Linux security audit cuts kernel modules and unused packages KDE Linux, the in-progress operating system from the KDE community, removed several kernel modules and software packages after a security audit of the components shipped with the system. The work followed the discovery of multiple security issues in the upstream Linux kernel during the prior month. Codex knowledge work expands into research, reports, and spreadsheets Office workers in the United States lose hours each week to email triage and to searching for files spread across disconnected systems. Roughly 40 percent of US labor, about 72 million people, works primarily with information such as analysis, documents, designs, and communication. Research from the McKinsey Global Institute puts the average knowledge worker at 28 percent of the workweek on email and close to 20 percent on hunts for internal information or for colleagues who can help with specific tasks. Meta adds stricter guardrails for teen feeds Meta has expanded its Teen Accounts 13+ content settings globally on Instagram, Facebook, and Messenger. The safeguards are designed to help young users see age-appropriate content by default. The company also introduced Limited Content on Instagram for parents seeking stricter restrictions. Meta plans to roll out the feature on Facebook and Messenger later this year. Known vulnerabilities behind most application security incidents Eight in ten organizations took an application security hit during the past year tied to a vulnerability their team had already cataloged, according to a survey of 902 IT and security professionals conducted by the Cloud Security Alliance. The pattern points to a structural condition across the industry, where the window between identifying a flaw and closing it in production stays open long enough for attackers to act. Agent Threat Rules: Open detection rule format for AI agent security threats AI agents run inside coding assistants, MCP servers, and multi-agent frameworks, and the access that makes them useful also opens paths to prompt injection, tool poisoning, and credential theft. Public CVE feeds carry agent-execution flaws that reach production faster than the tooling built to catch them. Agent Threat Rules, or ATR, is an open detection format aimed at this category of attack. Microsoft Scout agent opens a new category of always-on Autopilots Workplace AI assistants have mostly waited for a prompt before doing anything. A user asks, the tool answers, and the exchange ends there. Microsoft is putting a different kind of agent inside its Office applications, one designed to keep operating in the background once a person stops paying attention. The company introduced Microsoft Scout, calling it the first entry in a category it labels Autopilots. New Android feature promises to spot deepfake scam calls Android is introducing fake call detection to help protect users from impersonation scams. The feature can detect and flag suspected spoofed calls when both parties use Phone by Google on Android 12 or later. It will roll out globally this month, starting with Pixel devices. ETSI sets security requirements for AI data centers and cloud platforms ETSI has published TS 104 033, a technical specification that defines security requirements for AI computing platforms. The specification establishes a security framework for platforms used to host AI applications in data center and edge computing environments, covering security functions, platform components, interfaces, and services designed to protect AI models, datasets, training processes, and inference workloads. Product showcase: Trend Micro Mobile Security detects scams in messages, QR codes, and websites Trend Micro Mobile Security for iOS protects devices from potentially harmful websites while browsing, blocks ads and personal information trackers, helps users avoid unsafe Wi-Fi networks, and monitors data usage. The app is available for both iOS and Android devices. Most pros have seen AI hallucinations in IT operations Autonomous AI is taking action inside enterprise IT environments. Software is restarting services, isolating risky devices, and applying patches without waiting for a human to approve the step. The capability is spreading at the same time IT professionals are reporting frequent encounters with AI output errors that can carry operational impact. Let’s Encrypt works toward post-quantum certificates at web scale Let’s Encrypt plans to pursue a post-quantum-safe Web PKI through Merkle Tree Certificates (MTCs), a new approach that adds post-quantum authentication to the web without sacrificing the speed and reliability that have made TLS universal. The project is targeting late 2026 for a staging environment that issues MTCs, with a production-ready environment planned for 2027. Photos: Infosecurity Europe 2026 Infosecurity Europe 2026 is a cybersecurity event that took place from June 2 to 4 in London. Help Net Security was on-site and here’s a closer look at the conference. Attackers already know the secrets are on your developers’ machines. Do you? In a recent GitGuardian analysis, an average of 150 secrets were found on a sample of developer endpoints. Private keys accounted for 38% of unique secrets, while cloud, identity provider, and secret management credentials (AWS IAM, Hashicorp vault) added another 22%. Simplify security management with CIS SecureSuite Platform CIS SecureSuite Membership simplifies the process with tools, benefits, and resources for implementing the secure recommendations of the CIS Benchmarks. With the release of CIS SecureSuite Platform, it’s now even easier for Members to harden their systems. Cybersecurity jobs available right now: June 2, 2026 We’ve scoured the market to bring you a selection of roles that span various skill levels within the cybersecurity field. Check out this weekly selection of cybersecurity jobs available right now. New infosec products of the week: June 5, 2026 Here’s a look at the most interesting products from the past week, featuring releases from Asimily, depthfirst, Diligent, Hyland, MazeBolt, and Noma.
helpnetsecurity.comJun 7, 2026extracted
Elon Musk’s XChat: how secure is the new messaging app? | Kaspersky official blog
Pavel Durov and his “private” messaging app have a brand new rival, and it’s — drumroll, please — Elon Musk and his XChat. On our blog, we’ve discussed more than once why Durov’s claims about Telegram privacy and security are exaggerated, to put it mildly. Here, I’ll just remind the reader that standard (non-secret) chats on Telegram aren’t protected by end-to-end encryption — the bare minimum required for user data to stay private. But let’s get back to Musk. In late April 2026, the XChat app launched for iOS users. The tech mogul had been touting his messaging app for a long time, pitching it from day one as an incredibly private and secure way to communicate, and as a direct threat to Signal, WhatsApp, Telegram, and iMessage. Today, we look at whether we should actually trust Musk’s promises this new service, break down its core features, and stack it up against the competition. Bitcoin-style encryption Musk initially teased XChat on June 1, 2025, naturally via his X (formerly Twitter) account. Responding to another user’s question about when to expect the new service, Musk wrote: “This week if there are no scaling issues.” Apparently, scaling issues there were: the app’s beta didn’t drop until September 2025, and iOS users didn’t get full access until April 2026. As for Android, there is zero info on when that version would launch at the time of this writing. That said, an XChat page is already live on Google Play where users can queue up “pre-register”, whatever that means. But let’s go back to Musk’s post announcing XChat. That specific post turned a lot of heads in the privacy and cybersecurity community, and here’s why: the tech mogul wrote that the service would be built on an “entirely new architecture”, written in Rust, and featuring “Bitcoin-style encryption”. The expert community spent a long time scratching their heads and trying to figure out what Musk actually meant. After all, Bitcoin isn’t an anonymous, encrypted data exchange system. The blockchain does use public and private cryptographic keys, but for something entirely different: signing transactions. Meanwhile, these transactions aren’t hidden from prying eyes; they’re out in the open for anyone to see, forever. Simply put, Bitcoin protects its users not by ensuring privacy, but quite the opposite — through ultimate transparency. Most likely, Musk used “Bitcoin-style encryption” as a marketing gimmick. Bitcoin was trading near all-time highs at the time of his announcement, and cryptocurrency was the talk of the town. Technically, the XChat beta that dropped in September 2025 protected user chats with a “kind of” end-to-end encryption, but this was implemented in a way that raised serious doubts among cryptography experts. And not without a reason. Normally, setting up an end-to-end encrypted chat automatically generates a public and private key pair. The public key is used to encrypt messages, while the private key decrypts them. Because other users need your public key to start a secure chat with you, these keys are usually stored on the app’s servers. The private key, however, should ideally live only on the user’s device — which is exactly how Signal does it. This serves as a simple, ironclad guarantee that neither the company itself nor any third party breaching its infrastructure can access user chats, even if they really want to. But Elon Musk’s projects always march to the beat of their own drum: the XChat developers decided it would be a great idea to store users’ private keys on XChat servers. X claims they’ll use hardware security modules (HSMs) to store these private keys — specialized appliances designed to prevent even the system owner from easily accessing the data inside. However, experts are also questioning the reliability of this setup, and coming to a grim conclusion: if X really wants to get a user’s private key, they will most likely be able to do so. How encrypted messaging in XChat works in practice Finally, once the scaling issues were ironed out nearly a year after the announcement, X officially rolled out the XChat app for iOS in April 2026. Now anyone can use it, but from a practical standpoint, the situation with encrypted chats seems even more convoluted than in Telegram. According to the social network’s help center, to use end-to-end chat encryption in XChat, both users must have an X account, set up XChat, and have some sort of connection between them: Follow, or be subscribed to each other Have exchanged messages before Have previously accepted a direct message request Be a member of the same Premium Business / Premium Organization subscription on X If users don’t follow each other and haven’t interacted before, XChat might still let them send a message request. However, that initial request goes out without end-to-end encryption. Again, this is how the process is described in the messaging app’s official help documentation. Sound overly complicated? Let me reassure you: in practice, it works — or rather, doesn’t — completely differently. I personally managed to send a message to another user who had NOT set up XChat. The app itself, of course, gave me absolutely no warning about this. It gets even better. The user I messaged saw a notification for it on the web version of X, but couldn’t actually access the message. Here’s the catch: to start using XChat, the user first has to create a four-digit PIN. Yet, the app asks for this PIN the very first time the user tries to open it — meaning, before they even get a chance to create one. Along with this prompt, the user also sees a warning stating that without the PIN, they won’t be able to view past encrypted chats. The only workaround I found to actually start using XChat is to tap “Forgot PIN?” — even though that PIN never existed in the first place — confirm your identity, and create a new (well, your first) PIN. Naturally, you lose access to your chat history this way, so you won’t be able to read any messages sent to you in XChat before you officially set up the app. XChat: the new Telegram, WhatsApp, Signal… or Facebook Messenger? All these PIN hurdles actually exist for a reason. Remember, unlike WhatsApp and Signal, the XChat developers decided to store users’ private keys on their own servers. Consequently, the app uses these four-digit PINs to encrypt those keys. According to the XChat help documentation, this mechanism was designed to ensure a “seamless” multi-device experience. It’s impossible not to point out that both WhatsApp and Signal managed to pull this off without sketchy workarounds like PIN requirements or server-side private key storage. The problem is, workarounds like these undermine any claims of app privacy and security. First and chief among them, a PIN isn’t exactly the most secure way to protect sensitive data. We’ve mentioned time and again that four-digit combinations are easy to crack via brute force — especially since XChat gives you a generous 20 attempts to guess the right code. Stepping away from the bizarre implementation of end-to-end encryption compared to other messaging apps, it’s hard to ignore the overall sense of pointlessness that comes with trying to use XChat. As a Wired journalist rightly pointed out, the app feels less like a relative of WhatsApp, Signal, or Telegram, and much more like Facebook Messenger. Except people usually open Messenger to read a text from their mom or grandma, whereas XChat seems meant for anyone wanting to check in on that weird nephew who spends all his free time on X, still believes John McAfee’s promise of $500 000 Bitcoin, and fanboys over Elon Musk. So, what’s the bottom line on XChat? The best way to wrap up this post is with a quote from a cybersecurity expert: “If what you want is good security, use Signal. If what you want is to be able to talk to pretty much anybody using encrypted messages, use WhatsApp. If your whole life is based around X, I guess this is better than nothing.” If you do use XChat, rule number one is to avoid a predictable PIN — absolutely don’t use your birth year or, worse, 1234. It’s also crucial not to forget this code, because if you do, your entire chat history is gone for good. Finally, just like your other passwords, you shouldn’t keep it in your notes app, but rather in a secure password manager. This won’t only save you from having to memorize dozens of character combinations, but will also reduce the risk of losing access to your vital data and conversations. To learn more about secure messaging in other apps, check out our other posts:
kaspersky.comJun 5, 2026extracted
Malware campaign targeting Minecraft users infects over 116,000 systems
Malware campaign targeting Minecraft users infects over 116,000 systems A Malware-as-a-Service (MaaS) operation named WeedHack is targeting Minecraft users and allows threat actors to gain remote access to victims’ screens, webcams, and files through a web-based dashboard, McAfee researchers found. Minecraft, developed by Mojang Studios and released in 2011, is one of the best-selling video games of all time, with more than 350 million copies sold worldwide. Since January 2026, the campaign has infected more than 116,000 systems and continues to add between 2,000 and 3,000 new infections per day. “We’ve discovered over 3,820 unique malicious JAR files that are part of this attack and over 240 URLs responsible for distributing this malware,” researchers said. The United States accounted for the largest share of WeedHack infections, followed by Germany, India, the United Kingdom, Italy, Vietnam, Canada, Norway, Sweden, Finland, and Spain. YouTube spreading and SEO poisoning The WeedHack campaign relies on YouTube-driven distribution and SEO poisoning to reach victims. On YouTube, attackers promote Minecraft mods, clients, and utilities through videos containing download links in descriptions and comments. Some well-made videos feature voice-over narration and have attracted more than 7,500 views. YouTube video promoting malicious Minecraft Mods (Source: McAfee) “WeedHack targets Minecraft clients and mods without an official website that are hosted exclusively on file hosting websites like GitHub and specifically select mods with unique names, so it is easier to dominate search engine results,” McAfee explained. Lowering the barrier to entry What sets WeedHack apart from other malware campaigns is how accessible it is. The platform is hosted on the clear web and provides access to sophisticated malware for free. Researchers noted that MaaS offerings such as Lumma Stealer and X-Worm typically cost hundreds of dollars per month or require lifetime subscriptions purchased through underground forums, dark web marketplaces, or Telegram channels. WeedHack offers the malware for free, with premium features starting at $5 per month and lifetime access available for $24.99. The free tier includes an infostealer that targets Minecraft session IDs and four Minecraft launchers, collects system information, and steals cookies and passwords from 36 browsers. It also targets 56 browser-based cryptocurrency wallets and 12 desktop cryptocurrency wallets, along with Discord, Steam, and Telegram credentials. The malware can search infected systems using 24 predefined keywords and capture screenshots from compromised devices. Premium subscriptions unlock remote-access capabilities including webcam access, keystroke logging, reverse shell execution, screen sharing with keyboard and mouse control, and tools for uploading and downloading files. Tools, tutorials, and infection tracking At the center of the operation is a web-based dashboard that gives customers access to data collected from compromised systems. Victim profiles contain screenshots, system information, IP addresses, usernames, computer names, and harvested credentials, while a separate section tracks Minecraft session hits used for account hijacking. The platform includes a payload builder capable of injecting malware into legitimate Minecraft mods targeting versions 1.21.0 through 1.21.11. Users can also view all-time and 24-hour infection statistics through a leaderboard refreshed every 10 minutes. Documentation available through the portal covers malware distribution, operational security practices, remote-access features, stolen credentials, VPN and proxy services, and troubleshooting. A suggestions page allows users to submit feature requests and vote on proposed additions, including ransomware functionality, microphone access, and support for additional Minecraft clients. Beyond account theft and credential harvesting, the platform appears to have fueled cyberbullying. The operation’s Telegram channel attracted more than 850 members, with activity indicating that teenagers and young adults were using WeedHack’s remote-access tools to monitor, threaten, and harass victims. McAfee advises users to be cautious of recently uploaded YouTube videos promoting Minecraft tools, downloads hosted outside official websites, and requests to disable antivirus software before installation.
helpnetsecurity.comJun 3, 2026extracted
Argamal: Malware hidden in hentai games
In April 2026, we discovered a new malware campaign targeting players of “hentai” games. Once launched, the infected games install a previously unknown malicious implant on the user’s machine. After a few days, the implant downloads and executes a Trojan, resulting in full system compromise and broad remote control capabilities for the attackers. We dubbed this malware family “Argamal”. The malware uses COM hijacking to persist on the victim’s machine, replacing the InprocServer32 entry for Windows Color System Calibration Loader DLL. This task is triggered when the user logs in, effectively allowing the malware to run at startup. Kaspersky solutions detect this threat as Trojan.Win32.Termixia.*, Trojan.Win32.Agent.*, HEUR:Trojan.Win32.Argamal.gen and HEUR:Trojan-Downloader.Win32.Argamal.gen. Technical details Background In April, as part of our ongoing monitoring of telemetry data, we found some suspicious DLLs. Further analysis revealed that various versions of these DLLs have existed since at least 2024. The DLLs were spawned by different games written using various game engines and programming languages, including RenPy (Python) and RPG Maker MV (JavaScript), among others. However, they all had one thing in common: they were all hentai games. We searched for the distribution sources and found a number of websites hosting game screenshots and download links. These links redirected users to PixelDrain, a free file transfer service. In addition to these websites, the trojanized games have also been distributed via different torrent trackers, including AniRena. Delivery Both the dedicated websites and torrents delivered an archive containing the infected game. This archive contained fully functional, legitimate game files, as well as a modified FFmpeg DLL (SHA1: 42add9475e67a1ccc6a6af94b5475d3defc01b85), that imported the DllGetClassObject function from a file called natives2_blob.bin. Since the game needs ffmpeg.dll to run properly, the library loads as soon as the user starts the game. Script executor The natives2_blob.bin (SHA1: edce72f59e4c1d136cd1946af70d334c19df858d) file is a DLL that executes a Base64-encoded PowerShell script when loaded. This PowerShell script, which we’ll call Stage1, performs basic checks for controlled environments. For example, it checks for the Sandboxie folder in Program Files and Procmon64 in the process list. If all the checks indicate that the process is not running in a controlled environment, it proceeds to establish persistence. Stage1 sets the MI_V environment variable (and also MI_V2 in the new versions of malware) for the current user to another Base64-encoded PowerShell script, which we’ll call Stage2. After that, it sets the InprocServer32 registry key at HKCU\SOFTWARE\Classes\CLSID\{722D0F89-B69C-4700-AE8C-4A44350E4876} to a random DLL file name in a random subdirectory of %USER%\AppData\Local, as well as the ShellFolder subkey to another random DLL file name in the same location. Stage1 also creates a scheduled task that will execute three days later. This task executes Stage2 and runs once. Stage2 is a payload downloader script. It takes previously generated DLL filenames from the registry and downloads an encrypted payload called zaesdl.dat from GitHub using bitsadmin.exe. The downloaded payload is saved in the settings.dat file in the randomly chosen subdirectory of %USER%\AppData\Local. Stage2 decrypts it using AES-CBC with the key zbcd1j9234r670eh and an IV equal to the key. The decrypted payload is then saved in the DLL file specified in the ShellFolder registry subkey. The decrypted payload is set as InprocServer32 at HKCU\SOFTWARE\Classes\CLSID\{B210D694-C8DF-490D-9576-9E20CDBC20BD}, which is a COM object used by the \Microsoft\Windows\WindowsColorSystem\Calibration Loader scheduled task. This task runs every time a user logs in, allowing the malware to run during every user session. Before quitting, Stage2 also removes the changes made under the HKCU\SOFTWARE\Classes\CLSID\{722D0F89-B69C-4700-AE8C-4A44350E4876} registry key, unsets the MI_V environment variable (and MI_V2 in newer versions), and removes the scheduled task that launched Stage2. Malicious agent Early payload versions decrypted themselves using the 0xB0C1D4E9 rolling XOR key, where the decryption key for the i + 1 block is the encrypted content of the i block (each encrypted block being four bytes long). The most recent agent versions don’t do that. The samples we found had string encryption; they use a simple substitution with a key that corresponds position-by-position to the following alphabet: ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789@#$./: *&~. The decryption process involves finding the position of each symbol of the encrypted strings in the key, and replacing it with the symbol that occupies the same position in the alphabet. During our investigation, we found the following keys were used: 17htUno/I3L&fK2H#yapE@b5NqZ$Q4xmeF.s96uB>jkdWCPvAgD*XwO:iR~TMrV0YGl8z jdkWCPvAgD*XwO:iR~TMrV0YGl8z jkdWCvPAgD*XwO:iR~TrMV0YGl8z : deletes specified file DELDIR : deletes specified directory REN # : moves specified file MAKDIR : creates directory ZIPFILE /ZIPFOLDER : compresses specified file/folder into a.zip archive TAR /TAR2 : compresses specified file/folder into a .tar archive GETFILEDATE : sends file’s last modification date SETFILEDATE : sets file’s last modification date GETFILEACC : sends file’s last access date DWLOAD : sends file to the C2 UPLOAD # : uploads file to the specified C2 server Reconnaissance USER : sends username KALIVE : sends run cycle counter IDLE : sends number of seconds passed since last input activity DRIVES : sends information about mounted drives FOLDEX : sends full path to a directory of the specified type: – type = 0x63 : temporary directory – type = 0x64 : \Google\Chrome\User Data\Default\ in AppData\Local folder – type = 0x65 : \Downloads\ in user home directory – type = 0x66 : \Microsoft\Excel\XLSTART\ in AppData folder – type = 0x67 : AppData folder LFILES : lists and sends paths to all files in the directory OSVER : sends information about user, hostname, OS architecture and version COMPILERDATE : sends constant hardcoded in the RAT, e.g., 25.10.2025 Generic control DSOCKE : recreates TCP keep-alive socket QUIT : notifies the C2 about quitting, closes the socket and stops the process RUNHID /RUN : runs specified command insideShellExecuteW RUNDOS : runs specified command inside CreateProcessW RUNTASK : creates, runs and deletes task that executes specified command SKEY : presses specified key MOUSE FREEZE : freezes mouse movement MOUSE : clicks the specified mouse button or sets the cursor position to the specified coordinates Other delivery methods During our research, we also observed other delivery methods for the RAT. Instead of patching FFmpeg and downloading the payload from GitHub, the attackers included the main payload as libpython64.dat or another file with a similar name in the lib\py3-windows-x86_64 directory of the game. This .dat file was loaded by one of the libraries used in the game, which was patched for this purpose. In another case, the threat actor posted their malicious DLL file (payload downloader) on a gaming forum, disguising it as a cheat. Infrastructure Our research revealed the following infrastructure was used in this attack. Victims According to our telemetry, hundreds of individuals were infected with this malware. The majority of the victims were located in Russia, Brazil, Germany and Vietnam. Attribution Based on the language of the comments in the code, infrastructure data and other facts we assess with medium confidence that the developer of the downloader chain speaks Spanish. The actor behind this attack uses Spanish in variable names and comments. For example, the Base64-decoded delivery script contains the following lines: In addition, the JavaScript code from the website distributing infected games contains variable names, function names and comments in Spanish: Notably, the malware payloads used in this attack had previously chosen 127.0.0.1 as their C2 server when the victim’s default locale is set to “zh-CN”, thus not targeting Chinese users. This may indicate that the attacker is associated with a Chinese-speaking threat actor or uses payloads developed by a Chinese-speaking threat actor. However, we still believe it’s unlikely that the developer of these delivery chains is Chinese-speaking. Conclusions The Argamal Trojan is a new RAT targeting individuals who seek adult games. During our analysis, we observed a steady stream of updates to the payload, including the addition of new features and fixes for various bugs, as well as changes to the infrastructure. This leads us to believe that the threat actor behind this malware will continue to develop and enhance it. The campaign’s goal is likely data and credential theft; however, the RAT enables the attacker to take full control of the device and execute any malicious activity they want. Creating malware in today’s development landscape has become significantly easier thanks to the wide availability of detailed guides, tooling, and automation resources. As a result, it is crucial not only to detect known malware but also to identify new and evolving threats as they emerge. Kaspersky solutions prevented the malicious activity in the earliest stages of the attack. The solutions help ensure device security by identifying not only known threats but also the behavior of the software and its actions, providing comprehensive protection against malware. Indicators of Compromise Additional information about this activity, including indicators of compromise, is available to customers of the Kaspersky Intelligence Reporting Service. If you are interested, please contact [email protected]. Trojan downloaders: 9803604ec45f31f9ef75bcca1e1310d8ac1fc3a6 edce72f59e4c1d136cd1946af70d334c19df858d 02819d200d1424882af81cb504b3e8614b32397a Domains and IPs asper1[.]freeddns[.]org Winst0[.]kozow[.]com Country1[.]ignorelist[.]com 186[.]158.223.35 GitHub repositories used in the campaign hxxps://github[.]com/gmz159/u hxxps://github[.]com/DnyP/files hxxps://github[.]com/mgzv/p
securelist.comJun 3, 2026extracted
Weedhack Attacks Minecraft Users, CountLoader Hits 86K, Miners Spread via Pirated Content
Cybersecurity researchers have flagged a new campaign targeting Minecraft players via YouTube to spread malware capable of gaining control of victims' systems. The Minecraft-focused malware-as-a-service (MaaS) campaign has been codenamed Weedhack by McAfee Labs, stating the activity has been active since January 2026 and impersonates Minecraft clients and mods to infect users. In all, 3820 unique malicious JAR files and over 240 URLs responsible for distributing the malware have been identified. "This campaign utilizes SEO poisoning and YouTube to generate traffic to these malicious URLs," security researcher Aayush Tyagi said. "We also found two YouTube channels and multiple videos that demonstrate Minecraft Mods and Clients and redirect viewers to these URLs." Central to the campaign is an enterprise-grade dashboard ("weedhack[.]to") that enables customers to view stolen credentials and system information, as well as remotely keep tabs on the compromised systems. Furthermore, it allows criminals to create custom payloads that can target Minecraft versions 1.21.0 to 1.21.11, not to mention inject the malware into legitimate Minecraft mods. The starting point of the attack is a malicious JAR file ("DonutDupe.jar") downloaded from the malicious websites. The file then retrieves details of the command-and-control (C2) server domain using a known technique called EtherHiding, which employs the Ethereum blockchain as a dead drop resolver. In the next stage, the malware contacts the C2 server to fetch another Java-based JAR payload ("Elevator.jar") that collects system information, configures Microsoft Defender exclusions, and serves as a conduit for dropping two additional JAR payloads. The third JAR payload ("SecurityManager.jar") establishes persistence and acts as a stager for the final component ("Component.jar") that deploys the remote access features. The threat actors behind the tooling leverage a Telegram channel to advertise their warez, broadcast updates, and provide customer support. The channel has more than 850 members. The tool, for its part, comes in two tiers - Free, which includes a comprehensive infostealer that can target Minecraft session IDs and four Minecraft launchers; capture screenshots; and harvest files, system information, cookies, and passwords from 36 different web browsers, data from 56 browser-based cryptocurrency wallets and 12 desktop wallet apps, and credentials for Discord, Steam, and Telegram. Premium, which starts at $4.99 per month (or $24.99 for a lifetime license) and offers additional remote access capabilities, such as webcam access, keylogging, reverse shell execution, screen sharing with keyboard and mouse access, and file uploads and downloads. Attack chains revolve around SEO poisoning and YouTube videos containing descriptions that embed links to malicious Minecraft Clients to target unsuspecting users. The majority of Weedhack infections have been identified in the U.S., followed by Germany, India, the U.K., Italy, Vietnam, Canada, Norway, Sweden, Finland, and Spain. "One of the key features that makes Weedhack unique is that it is hosted on the clear net and provides access to sophisticated malware for free," Tyagi said. "This difference in cost and ease of access with detailed tutorials on how to use the malware significantly reduces the barrier to entry for prospective customers. Furthermore, its ability to steal Minecraft accounts attracts a younger audience. Both of these factors complement each other and make the campaign much more lethal." McAfee Labs said it has also observed the malware acting as a trigger for cyberbullying, where the customers, who appear to be teenagers and young adults, are weaponizing its remote access capabilities to threaten, harass, and monitor their victims. They have found a way to record victims via their webcams and shared the videos on the Telegram channel as "trophies." CountLoader Delivers Crypto Clipper The disclosure comes as the cybersecurity company shed light on a large-scale CountLoader campaign that's estimated to have compromised 86,000 unique machines. CountLoader is a JavaScript loader that's typically distributed via cracked software distribution sites. It's known to deploy various payloads like Cobalt Strike, AdaptixC2, PureHVNC RAT, Amatera Stealer, and PureMiner. Of these compromises, approximately 9,000 infections are said to have resulted from the malware spreading via USB drives and removable media. McAfee Labs said the highest number of infections was observed in India, followed by Indonesia, the U.S., and several countries across Southeast Asia, adding it was able to successfully sinkhole the malware communication infrastructure by registering a fake C2 domain. "The infection begins when an EXE file is executed," the company said. "This file launches a PowerShell command, which downloads and executes an obfuscated JavaScript loader known as CountLoader. The loader is executed using 'mshta.exe.'" Once executed, CountLoader sets up persistence, communicates with the C2 server, attempts to spread via USB drives, and awaits further instructions from the C2 server to download and execute payloads. The final payload deployed in the latest set of attacks is a cryptocurrency clipper malware that hijacks clipboard content to redirect cryptocurrency transactions. Pirated Content Leads to Cryptocurrency Miners The findings also follow the discovery of a years-long campaign that has used illegal movie and TV show streaming sites to distribute a cryptocurrency miner under the guise of a fake update for a video player plugin. The bogus update downloads a ZIP archive, which then uses DLL side-loading to drop a fork of SilentCryptoMiner. The malware is equipped with a wide range of capabilities - Configure Defender exclusions, terminate Microsoft's Malicious Software Removal Tool, and disable automatic hibernation and sleep mode to maximize the miner's potential runtime on the device. Repeatedly trigger User Account Control (UAC) prompts until the process is successfully executed with elevated privileges. Initiate a watchdog component that ensures the uninterrupted operation of the miner. Run a RAT agent that provides remote control capabilities, including running arbitrary commands, launching EXE files using "explorer.exe," and running shellcode. Launch an XMRig-based CPU and a GPU miner. "The archive contained a legitimate executable, HLS Installer.874.exe, alongside a malicious DLL. Launching the EXE triggered a DLL side-loading mechanism, injecting the malicious module into a legitimate program process and executing code within its context," Kaspersky said. "The library contained the logic for deploying the miner and establishing persistence on the device." It's assessed that the activity is a continuation of a campaign that was documented by NTT Security in April 2023, which used fake browser crash warnings to drop a cryptocurrency miner. "The threat actors leverage a variety of sites, ranging from online libraries to movie and TV show streaming platforms," Kaspersky said. "There is no telling what channels they will use to distribute the malicious archive in the future. However, the current case shows that users visiting pirated websites continue to take a serious risk." Update In a new analysis published on June 24, 2026, Dark Atlas revealed that Weedhack started off as a "private, targeted credential stealer" under the name Majanito in late 2025, and it underwent a change in ownership and branding in early 2026. Over 116,000 endpoints have been compromised between January and June 2026. It's tracking the first-stage JAR payload under the name LoaderClient. "On execution, the malware harvests the victim’s Minecraft session including display name, account UUID, and live Microsoft OAuth access token, then queries an Ethereum smart contract to resolve its C2 URL, downloads a second-stage payload, and executes it entirely in memory," the company said. "The Weedhack campaign represents a convergence of consumer-grade malware, blockchain infrastructure abuse, and the unregulated ecosystem of third-party game modifications."
thehackernews.comJun 3, 2026extracted
Over 116,000 Minecraft systems infected in WeedHack malware campaign
A large-scale malware campaign dubbed WeedHack is targeting Minecraft players and has infected more than 116,000 systems since January. The malware is distributed through Minecraft-related malicious mods, clients, cheats, and utilities that are promoted over YouTube and SEO (search engine optimization) poisoning. WeedHack works as a malware-as-a-service (MaaS) infostealer operation that offers a dashboard for customers to see stolen credentials and information on compromised systems. Telemetry data from cybersecurity company McAfee shows that WeedHack has impacted 116,464 systems, averaging between 2,000 and 3,000 infections every day. Most victims are in the United States, Germany, India, and the UK. The scale of the operation is reflected in the more than 240 distribution URLs and 3,820 unique malicious JAR files. WeedHack malware distribution In a report today, McAfee researchers say that the WeedHack campaign reaches victims mainly through YouTube videos showcasing Minecraft-related tools and SEO poisoning promoting them. On the video platform, the attacker drops download links in descriptions and comments. Some of the videos are well-made, featuring voice-over narration for authenticity, and have accumulated more than 7,500 views. The SEO poisoning distribution method targets keywords that correspond to clients: Meteor Client, Radium Client, Wurst Client, Aristois, LiquidBounce, Impact Client, Future Client, Inertia Client, Cornos Client, WWE Client, 3arthh4ck, Salhack, Phobos, and Gamesense. McAfee explains that many of those projects do not have official websites, only GitHub pages. In one case highlighted in the report, the malicious website displays a security notice warning visitors that they should only download ‘Skytils’ from the official site. It is even linking to the project’s legitimate GitHub repository and Discord server to create a strong, false sense of legitimacy for the fake website. MaaS operation The WeedHack malware platform is hosted on the clear net and provides access to anyone for free, which is very unusual for infostealer operations. Users are given access to a dashboard that shows an overview of their victims, infected system profiles, stolen data, and a payload builder for Minecraft versions 1.21.0 through 1.21.10. The free tier stealer targets Minecraft session ID theft, cookies, and saved passwords across 36 browsers, 56 cryptocurrency add-ons, 12 desktop cryptocurrency wallet apps, Discord, Steam, and Telegram credentials, and can capture screenshots. WeedHack also offers a premium tier for $5/month, or a lifetime one-time purchase of $24.99, that adds remote control with input access (mouse and keyboard), webcam access, keylogger, remote shell, and remote file management. The project’s Telegram channel has over 800 members, and McAfee says that many of the clients appear to be teenagers or young adults who use WeedHack’s remote access tools to harass their victims. Minecraft players should only trust mods from official project sources, verify download links, and treat JAR files hosted on dubious sites with caution. For those looking to extend their playing experience, the in-game Minecraft Marketplace is the safest option. Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply. The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments. Get the report
bleepingcomputer.comJun 2, 2026extracted
Product showcase: McAfee + ChatGPT integration turns doubt into a scam check
Product showcase: McAfee + ChatGPT integration turns doubt into a scam check McAfee + ChatGPT integration brings real-time scam detection in conversations and gives users an easier way to verify suspicious content before clicking or responding. It is available to anyone, without requiring a McAfee or ChatGPT subscription. It combines conversational AI with McAfee’s cybersecurity intelligence to help users evaluate potentially dangerous content such as messages, emails, links, screenshots, and social media posts for signs of scams or phishing. How McAfee + ChatGPT helps identify phishing attempts The integration allows users to paste suspicious URLs into ChatGPT to receive a reputation analysis powered by McAfee’s threat intelligence technology. It can also assess text-based content for indicators such as impersonation attempts, urgency tactics, and deceptive language patterns. Users can upload screenshots of messages or websites for visual review, with the system providing explanations of why specific content may be considered risky and offering guidance on next steps to reduce exposure, account compromise, or financial loss. After enabling the integration, I tested it using a recently received message from the Ministry of the Interior related to a speeding violation. I copied the message into ChatGPT, which analyzed it and identified several phishing indicators. The message showed multiple indicators consistent with a phishing attempt impersonating the Croatian Ministry of the Interior. A non-governmental domain was used, along with pressure tactics such as strict deadlines, threats of vehicle registration suspension, and a request to reply with “1” to access alleged evidence documents. Conclusion The McAfee + ChatGPT integration helped identify phishing indicators, explain why the message looked suspicious, and clarify the risks behind the request. The experience showed how easily a potentially deceptive message can be reviewed in ChatGPT and understood in context before taking action.
helpnetsecurity.comMay 18, 2026extracted
Trellix Reveals Unauthorized Access to Source Code
A leading US cybersecurity vendor has been breached by threat actors who managed to access its source code, it has been revealed. Privately held firm Trellix disclosed the incident on May 4, claiming it has notified law enforcement and is working with “leading forensic experts” in order to work out exactly what happened. “Trellix recently identified unauthorized access to a portion of our source code repository,” it said. “Based on our investigation to date, we have found no evidence that our source code release or distribution process was affected, or that our source code has been exploited.” Trellix is the company formed from the merger of McAfee Enterprise and FireEye in 2021 after they were acquired by private equity firm Symphony Technology Group. It sells threat intelligence and AI-powered detection and response services including NDR and EDR, as well as data security and email security. Access to its source code could give threat actors a major advantage, warned Isaac Evans, found of software security firm Semgrep. “For security companies, it can provide attackers with a roadmap to where controls live, how detections are written, and where trusted update or build paths may be exposed,” he said. “This recent pattern of targeting security vendors and software supply chains should have the full attention of defenders. Attackers are not only looking for customer data; they are looking for leverage. If they can understand defensive tooling from the inside, they can turn the software ecosystem itself into a delivery mechanism.” Links to Supply Chain Attacks It’s unclear who is responsible for the breach, and Trellix is keeping tight lipped for now, saying only that it will share details once the investigation is complete. However, several vendors – including Aqua Security and Checkmarx – were compromised recently after a software supply chain attack targeting security scanner Trivy, which exposed countless enterprise secrets. Google Cloud’s Wiz Security reported at the end of March that the TeamPCP group behind the Trivy campaign may be collaborating with notorious extortion group Lapsus$ to monetize these stolen credentials. There are also signs that TeamPCP is working with the Vect ransomware group to target Trivy campaign victims. “Stolen tokens, CI/CD gaps, and overtrusted build workflows can let attackers move from one project to another, harvesting secrets and planting persistence along the way,” said Evans. “Organizations shouldn’t treat code repositories as just a place where code lives and is stored, but something that needs to be protected as attackers continuously find new ways to exploit and manipulate them.”
infosecurity-magazine.comMay 5, 2026extracted
Trellix discloses data breach after source code repository hack
Cybersecurity firm Trellix disclosed a data breach after attackers gained access to "a portion" of its source code repository. Trellix is a global cybersecurity company formed from the October 2021 merger of McAfee Enterprise and FireEye. It provides services to over 50,000 business and government customers worldwide, protecting more than 200 million endpoints. According to an official statement updated on Monday, the company is now investigating the incident with the help of outside forensic experts. At the moment, Trellix said it has yet to find evidence that the threat actors have exploited or altered the source code they accessed. "Trellix recently identified unauthorized access to a portion of our source code repository. Upon learning of this matter, we immediately began working with leading forensic experts to resolve it," Trellix says. "We have also notified law enforcement. Based on our investigation to date, we have found no evidence that our source code release or distribution process was affected, or that our source code has been exploited." A Trellix spokesperson shared the same statement when BleepingComputer asked for more details about the breach, including when it was detected, whether the attackers had also stolen corporate or customer data, and whether they had sent a ransom demand. While Trellix has yet to reply to a subsequent email requesting more information regarding this security incident, the company says in its official statement that it intends "to share further details as appropriate" after the investigation ends. Trellix isn't the first cybersecurity company whose systems were breached since the start of the year. Application security company Checkmarx confirmed last week that the LAPSUS$ hacking group leaked data stolen from its private GitHub repository, while Cisco revealed last month that hackers breached its internal development environment and stole source code using credentials compromised in the recent Trivy supply chain attack. Bug bounty platform HackerOne also notified hundreds of employees in March that their personal information had been stolen by attackers who hacked Navia, one of its U.S. benefits administrators. Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply. The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments. Get the report
bleepingcomputer.comMay 4, 2026extracted
Trellix Confirms Source Code Breach With Unauthorized Repository Access
Cybersecurity company Trellix has announced that it suffered a breach that enabled unauthorized access to a "portion" of its source code. It said it "recently identified" the compromise of its source code repository and that it began working with "leading forensic experts" to resolve the matter immediately. It also said it has notified law enforcement of the matter. Trellix did not disclose the exact nature of the data that may have been accessed by the attackers. However, it pointed out that there are no indications that its source code has been affected or exploited. "Based on our investigation to date, we have found no evidence that our source code release or distribution process was affected, or that our source code has been exploited," the company added. The company did not share any details about who may be behind the incident, and for how long the attackers had access to its systems. Trellix noted that additional information will be shared as appropriate once its investigation is complete. Owned by Symphony Technology Group, Trellix was founded in January 2022 following the merger of McAfee Enterprise and FireEye. Around the same time, Mandiant, which was owned by FireEye, was acquired by Google in a deal worth $5.4 billion. When reached for comment, a spokesperson for Trellix acknowledged the breach and shared the same official statement posted on its website. Update On May 7, 2026, a ransomware group known as RansomHouse claimed responsibility for the hack, listing the company on its data leak site. When contacted for comment, a Trellix spokesperson said they are "aware of claims of responsibility for the attack and are looking into it." It did not say if the two incidents were connected.
thehackernews.comMay 2, 2026extracted
Researchers Uncover Pre-Stuxnet ‘fast16’ Malware Targeting Engineering Software
Cybersecurity researchers have discovered a new Lua-based malware created years before the notorious Stuxnet worm that aimed to sabotage Iran's nuclear program by destroying uranium enrichment centrifuges. According to a new report published by SentinelOne, the previously undocumented cyber sabotage framework dates back to 2005, primarily targeting high-precision calculation software to tamper with results. It has been codenamed fast16. "By combining this payload with self-propagation mechanisms, the attackers aim to produce equivalent inaccurate calculations across an entire facility," researchers Vitaly Kamluk and Juan Andrés Guerrero-Saade said in an exhaustive report published this week. Fast16 is estimated to predate Stuxnet – the world's first known digital weapon designed for disruptive actions – by at least five years. While Stuxnet is widely attributed to the U.S. and Israel and later served as the architectural foundation for the Duqu information-stealing rootkit, fast16 appears to have emerged much earlier. It also precedes the earliest known samples of Flame (aka Flamer and Skywiper), another sophisticated malware that was discovered in May 2012 incorporating a Lua virtual machine to realize its goals. The discovery makes fast16 the first strain of Windows malware to embed a Lua engine. SentinelOne said it made the discovery after it identified an artifact named "svcmgmt.exe" that, at first blush, appeared to be a generic console‑mode service wrapper. The sample has a file creation timestamp of August 30, 2005, per VirusTotal, to which it was uploaded more than a decade later on October 8, 2016. However, a deeper investigation has revealed an embedded Lua 5.0 virtual machine and an encrypted bytecode container, along with various other modules that bind directly into Windows NT file system, registry, service control, and network APIs. The implant's core logic resides in the Lua bytecode, with the binary also referencing a kernel driver ("fast16.sys") via a PDB path – a file with a creation date of July 19, 2005 – that's responsible for intercepting and modifying executable code as it's read from disk. That said, it's worth noting that the driver will not run on systems with Windows 7 or later. In what's a finding that could give an indication of the tool's origins, SentinelOne said it uncovered a reference to the string "fast16" in a text file called "drv_list.txt" that included a list of drivers designed for use in advanced persistent threat (APT) attacks. The nearly 250KB file was leaked by a mysterious hacking group nine years ago. In 2016 and 2017, the collective – calling itself The Shadow Brokers – published vast troves of data allegedly stolen from the Equation Group, an advanced persistent threat group with suspected ties to the U.S. National Security Agency (NSA). This included a bevy of hacking tools and exploits under the nickname "Lost in Translation." The text file was one of them. "The string inside svcmgmt.exe provided the key forensic link in this investigation," SentinelOne said. "The PDB path connects the 2017 leak of deconfliction signatures used by NSA operators with a multi-modal Lua‑powered 'carrier' module compiled in 2005, and ultimately its stealthy payload: a kernel driver designed for precision sabotage." "Svcmgmt.exe" has been described as a "highly adaptable carrier module" that can alter its behavior based on the command-line arguments passed to it, enabling it to run as a Windows service or execute Lua code. It comes with three distinct payloads: Lua bytecode to handle configuration and propagation and coordination logic, an auxiliary ConnotifyDLL ("svcmgmt.dll"), and the "fast16.sys" kernel driver. Specifically, it's designed to parse the configuration, escalate itself as a service, optionally deploy the kernel implant, and launch a Service Control Manager (SCM) wormlet that scans for network servers and propagates the malware to other Windows 2000/XP environments with weak or default credentials. An important aspect worth mentioning here is that the propagation only occurs when it's manually forced, or common security products aren't found on the system by scanning the Windows Registry database for associated registry keys. Some of the security tools it explicitly checks belong to Agnitum, F-Secure, Kaspersky, McAfee, Microsoft, Symantec, Sygate Technologies, and Trend Micro. The presence of Sygate Technologies is another indicator that the sample was developed in the mid-2000s, as the company was acquired by Symantec (now part of Broadcom) in August 2005, and sales and support for its products were formally discontinued by November. "For tooling of this age, that level of environmental awareness is notable," SentinelOne said. "While the list of products may not seem comprehensive, it likely reflects the products the operators expected to be present in their target networks whose detection technology would threaten the stealthiness of a covert operation." The ConnotifyDLL, on the other hand, is invoked each time the system establishes a new network connection using the Remote Access Service (RAS), and writes the remote and local connection names to a named pipe ("\\.\pipe\p577"). However, it's the driver that's responsible for the precision sabotage, targeting executables compiled with the Intel C/C++ compiler to perform rule-based patching and hijack execution flow through malicious code injections. One such block is capable of corrupting mathematical calculations, specifically going after tools used in civil engineering, physics, and physical process simulations. "By introducing small but systematic errors into physical‑world calculations, the framework could undermine or slow scientific research programs, degrade engineered systems over time, or even contribute to catastrophic damage," SentinelOne explained. "By separating a relatively stable execution wrapper from encrypted, task-specific payloads, the developers created a reusable, compartmentalized framework that they could adapt to different target environments and operational objectives while leaving the outer carrier binary largely unchanged across campaigns." Based on an analysis of the 101 rules defined in the patching engine and matching them against software used in the mid-2000s, it's assessed that three high-precision engineering and simulation suites may have been the targets: LS-DYNA 970, PKPM, and the MOHID hydrodynamic modeling platform. LS-DYNA, now part of the Ansys Suite, is a general-purpose multi physics simulation software package that's used for simulating crashes, impacts, and explosions. In September 2024, the Institute for Science and International Security (ISIS) released a report detailing Iran's possible use of computer modeling software like LS-DYNA for nuclear weapons development based on an examination of 157 academic publications found in open-source scientific and engineering literature. This chain of evidence assumes significance considering Iran's nuclear program is said to have suffered substantial damage after its uranium enrichment facility in Natanz was targeted by the Stuxnet worm in June 2010. What's more, Symantec revealed in February 2013 an earlier version of Stuxnet that was used to attack Iran's nuclear program in November 2007, with evidence indicating it was under development as early as November 2005. "Stuxnet 0.5 is the oldest known Stuxnet version to be analyzed," Symantec noted at the time. "Stuxnet 0.5 contains an alternative attack strategy, closing valves within the uranium enrichment facility at Natanz, Iran, which would have caused serious damage to the centrifuges and uranium enrichment system as a whole." Taken together, the latest finding "forces a re‑evaluation" of the historical timeline of development for clandestine cyber sabotage operations, SentinelOne said, adding it shows state-backed cyber sabotage tooling against physical targets had been fully developed and deployed by the mid‑2000s. "In the broader picture of APT evolution, fast16 bridges the gap between early, largely invisible development programs and later, more widely documented Lua‑ and LuaJIT‑based toolkits," the researchers concluded. "It is a reference point for understanding how advanced actors think about long‑term implants, sabotage, and a state’s ability to reshape the physical world through software. fast16 was the silent harbinger of a new form of statecraft, successful in its covertness until today."
thehackernews.comApr 25, 2026extracted
Copperhelm Raises $7 Million for Agentic Cloud Security Platform
Israel-based Copperhelm on Thursday emerged from stealth mode, having raised $7 million in seed funding for its agentic cloud security platform. The funding round was led by TLV Partners, with participation from ToDay Ventures, Icon, SaaS Ventures Israel, and several angel investors. The investment will be used for product development, go-to-market efforts, and engineering team growth. Copperhelm was founded by Shimon Tolts, Eyar Zilberman, and Roman Labunsky, who previously held leadership and senior technical roles at Unity, McAfee, and RSA. Copperhelm has built an agentic platform where AI agents autonomously monitor cloud environments, investigate threats, and execute remediation in real time. The platform is designed for large enterprises and is built around a proprietary component called the Context Lake, a real-time decision layer that structures and connects cloud data across environments, giving AI agents the contextual grounding needed to accurately assess and act on risks. The platform deploys specialized AI agents focused on network analysis, system inspection, adversary simulation, and automated remediation. These agents connect directly to live workloads, inspect active processes, map cloud network topology, and can deploy targeted protections such as WAF rules to neutralize threats without causing downtime. Copperhelm is positioned as an alternative to manual cloud security workflows, converting large volumes of raw findings into a prioritized, evidence-backed list of validated risks that security teams can act on directly. Human teams remain in control while the agents handle investigation and remediation. “Engineering teams got AI years ago; security was left behind doing manual work,” said Tolts, the co-founder who serves as Copperhelm’s CEO. “Copperhelm finally brings true AI to cloud security. It’s like instantly adding twenty senior engineers to your team.” Related: Cloudsmith Raises $72 Million in Series C Funding Related: Capsule Security Emerges From Stealth With $7 Million in Funding Related: Artemis Emerges From Stealth With $70 Million in Funding Related: Rilian Raises $17.5 Million for AI-Native Security Orchestration
securityweek.comApr 24, 2026extracted
Signed software abused to deploy antivirus-killing scripts
A digitally signed adware tool has deployed payloads running with SYSTEM privileges that disabled antivirus protections on thousands of endpoints, some in the educational, utilities, government, and healthcare sectors. In a single day, researchers observed more than 23,500 infected hosts in 124 countries trying to connect to the operator's infrastructure, with hundreds of infected endpoints present in high-value networks. More than just adware Security researchers at managed security company Huntress discovered the campaign on March 22, when signed executables viewed as potentially unwanted programs (PUPs) triggered alerts in multiple managed environments. PUPs, or adware, are regarded more as a nuissance than malicious, as their role is typically to generate revenue for the developer by showing advertisement pop-ups, banners, or through browser redirects. Huntress researchers say that the software was signed by a company called Dragon Boss Solutions LLC, involved in "search monetization research" activity and promoting various tools (e.g., Chromstera Browser, Chromnius, WorldWideWeb, Web Genius, Artificius Browser) labeled as browsers but detected as PUPs by multiple security solutions. Beyond annoying users with ads and redirects, Huntress researchers say the browsers from Dragon Boss Solutions also feature an advanced update mechanism that deploys an antivirus killer. Deactivating security Huntress researchers discovered that the operation relied on the update mechanism from the commercial Advanced Installer authoring tool to deploy MSI and PowerShell payloads. Analyzing the configuration file for the update process revealed several flags that made the operation completely silent and with no user interaction. It also installed the payloads with elevated privileges (SYSTEM), prevented users from disabling automatic updates, and checked frequently for new updates. According to the researchers, the update process retrieves an MSI payload (Setup.msi) disguised as a GIF image, which is currently flagged as malicious on VirusTotal by only five security vendors. The MSI payload includes several legitimate DLLs that Advanced Installer uses for specific tasks, such as executing PowerShell scripts, looking for specific software on the system, or other custom actions defined in a separate file named '!_StringData' that includes instructions for the installer. Huntress says that before deploying the main payload, the MSI installer conducts reconnaissance by checking the admin status, detecting virtual machines, verifying internet connectivity, and querying the registry for installed antivirus (AV) products from Malwarebytes, Kaspersky, McAfee, and ESET. The security products are disabled using a PowerShell script named ClockRemoval.ps1, which is placed in two locations. The researchers say that installers for the Opera, Chrome, Firefox, and Edge browsers are also targeted, likely to avoid potential interference with the adware's browser hijacking. The ClockRemoval.ps1 script also executes a routine when the system boots, at logon, and every 30 minutes, to make sure that AV products are no longer present on the system by stopping services, killing processes, deleting installation directories and registry entries, silently running vendors' uninstallers, and forcefully deleting files when uninstallers fail. It also ensures that the security products cannot be reinstalled or updated by blocking the vendor's domains through modifying the hosts file and null-routing them (redirecting to 0.0.0.0). During the analysis, Huntress found that the operator did not register the main update domain (chromsterabrowser[.]com) or the fallback one (worldwidewebframework3[.]com) used in the campaign, presenting them with the opportunity to sinkhole the connection from all infected hosts. As such, they registered the main update domain and watched "tens of thousands of compromised endpoints reach out looking for instructions that, in the wrong hands, could have been anything." Based on the IP addresses, the researchers identified 324 infected hosts in high-value networks: 221 academic institutions in North America, Europe, and Asia 41 Operational Technology networks in the energy and transport sectors, and at critical infrastructure providers 35 municipal governments, state agencies, and public utilities 24 primary and secondary educational institutions 3 healthcare organizations (hospital systems and healthcare providers) networks of multiple Fortune 500 companies BleepingComputer tried to reach out to Dragon Boss Solutions but could not find contact infor as their site is no longer operational. Huntress warns that, while the malicious tool currently uses an AV killer, the mechanism to introduce far more dangerous payloads onto infected systems is in place, and could be leveraged at any time to escalate the attacks. Additionally, since the main update domain was not registered, anyone could claim it and push arbitrary payloads to thousands of already infected machines with no security solutions protecting them, and through an already established infrastructure. Huntress recommends that system administrators look for WMI event subscriptions containing “MbRemoval” or “MbSetup,” scheduled tasks referencing “WMILoad” or “ClockRemoval,” and processes signed by Dragon Boss Solutions LLC. Additionally, review the hosts file for entries blocking AV vendor domains and check Microsoft Defender exclusions for suspicious paths such as “DGoogle,” “EMicrosoft,” or “DDapps.” Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply. The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments. Get the report
bleepingcomputer.comApr 15, 2026extracted
Signed Adware Operation Disables Antivirus Across 23,000 Hosts
A signed software operation linked to a company called Dragon Boss Solutions LLC has reportedly been silently disabling antivirus products on more than 23,000 endpoints worldwide According to research published by Huntress on Tuesday, the campaign used a legitimate code-signing certificate and an off-the-shelf update mechanism to deploy a PowerShell-based payload that systematically kills, uninstalls and blocks the reinstallation of security tools. Huntress researchers first observed the antivirus-killing behavior in late March 2025, though the underlying loaders had been present on some hosts since late 2024. The executables use Advanced Installer to poll remote servers for MSI-based updates. Once delivered, a script called ClockRemoval.ps1 executes with SYSTEM privileges, targeting products from Malwarebytes, Kaspersky, McAfee and ESET. How the Attack Chain Works Before deploying its full capabilities, the payload checks for admin status, detects virtual machines and queries the registry for installed security products. It then establishes five scheduled tasks and Windows Management Instrumentation (WMI) event subscriptions that maintain persistence across reboots, logons and at 30-minute intervals. A tight polling loop kills matching AV processes every 100 milliseconds for 20 seconds at boot, terminating security tools before they can initialize. The script also strips registry entries, runs vendor uninstallers silently and modifies the Windows hosts file to redirect AV update domains to 0.0.0.0. Defender exclusions are added for directories like DGoogle and EMicrosoft that appear to serve as staging areas for follow-on payloads. What elevated the threat was the discovery that a primary update domain in the operation's configuration was unregistered. Anyone willing to spend a few dollars could have pushed arbitrary payloads to every affected host. Sinkhole Reveals Global Infection Footprint Huntress registered the domain first and pointed it to a sinkhole. Within 24 hours, 23,565 unique IP addresses requested instructions. Infections spanned 124 countries, with the US accounting for roughly 54% of connections, followed by France, Canada, the UK and Germany. The firm identified 324 infections on high-value networks, including: 221 universities and colleges 41 operational technology networks, including electric utilities 35 government entities Three healthcare organizations According to CrunchBase, Dragon Boss Solutions is based in Sharjah, United Arab Emirates, and describes itself as conducting "search monetization research." AV vendors have historically categorized their signature as adware with browser-hijacking functionality. While the immediate payload remains an AV killer, Huntress warned that the update infrastructure could deliver any payload type. With antivirus already neutralized, the operation could pivot to ransomware, cryptomining or data theft without additional exploitation.
infosecurity-magazine.comApr 15, 2026extracted
Adobe Patches Reader Zero-Day Exploited for Months
Adobe on Saturday released emergency patches for a critical Acrobat and Reader zero-day that has been exploited in the wild for several months. The vulnerability has been assigned the CVE identifier CVE-2026-34621 and a CVSS score of 9.6. According to the software giant, the flaw stems from improperly controlled modifications to prototype attributes and can be exploited to execute arbitrary code. Acrobat and Reader for Windows and macOS are affected. Patches are included in version 26.001.21411 of Acrobat DC and Acrobat Reader DC, and versions 24.001.30362 and 24.001.30360 of Acrobat 2024. Adobe’s advisory confirms that CVE-2026-34621 has been exploited in the wild. The company has credited Haifei Li for reporting the vulnerability. Li is a reputable researcher who has worked at Fortinet, McAfee, Microsoft, and Check Point. He is the founder of Expmon, a sandbox system designed to detect file-based exploits. Li came across the zero-day while analyzing a sophisticated PDF exploit uploaded to Expmon. The exploit he identified was designed to harvest information, but the researcher warned in his initial disclosure that subsequent stages in the exploit chain may include remote code execution and a sandbox escape. Adobe has confirmed that exploitation of CVE-2026-34621 can lead to code execution, rather than just information disclosure. Based on the analysis of an exploit sample uploaded to VirusTotal, researchers determined that exploitation of CVE-2026-34621 started as early as November 2025. Li indicated that an APT is likely behind the attacks, and a threat intelligence analyst who uses the online moniker Gi7w0rm noted that the malicious PDFs used Russian-language lures and referenced current events in Russia’s oil and gas sector. More information on who is behind the attacks will likely surface in the coming days as more members of the cybersecurity community analyze the exploits. Li has made technical details available, and others have released indicators of compromise (IoCs) to help defenders detect potential exploitation of CVE-2026-34621. UPDATE 04.13.2026: Adobe has updated the CVSS score for CVE-2026-34621 to 8.6, reducing the severity from ‘critical’ to ‘high’ due to the requirement to open a file locally to trigger the exploit. However, Li warned, “Please note that this does not reduce the urgency of the issue and users should continue to apply the patch as soon as possible in order to prevent potential attacks.” Related: Juniper Networks Patches Dozens of Junos OS Vulnerabilities Related: Orthanc DICOM Vulnerabilities Lead to Crashes, RCE Related: Critical Marimo Flaw Exploited Hours After Public Disclosure
securityweek.comApr 12, 2026extracted
Adobe Reader Zero-Day Exploited for Months: Researcher
A researcher has come across what appears to be an actively exploited Adobe Reader zero-day vulnerability. Haifei Li is asking the cybersecurity community for assistance in investigating what he describes as a sophisticated PDF exploit. Li is a reputable researcher who over the past two decades has worked at Fortinet, Microsoft, McAfee, and Check Point. He is the founder and developer of Expmon, a sandbox-based system designed to detect file-based zero-days and other exploits. The new Reader exploit was detected by Expmon, and an analysis showed that the identified PDF “acts as an initial exploit with the capability to collect and leak various types of information, potentially followed by remote code execution (RCE) and sandbox escape (SBX) exploits”. The researcher believes the PDF exploits a zero-day vulnerability as the attack has been confirmed to work against the latest version of Adobe Reader. While Li has confirmed that the identified exploit collects user and other data from the compromised system, he was unable to reproduce the complete attack chain and obtain additional payloads that may be used for a sandbox escape or remote code execution. SecurityWeek has reached out to Adobe, but it may take some time for the company to share information on its assessment considering that it only received the details of the exploit on or around April 7. Exploits targeting the potential zero-day have been submitted to both Expmon and VirusTotal. One sample identified on VirusTotal was submitted in November 2025, which indicates that the vulnerability has been exploited for at least 4 months. One threat intelligence analyst who reviewed the exploits noted that the malicious PDFs contained Russian-language lures and referenced current events in Russia’s oil and gas sector. Adobe has credited Li with reporting several Reader and Acrobat vulnerabilities in recent years, including critical code-execution flaws. However, in the case of a Reader vulnerability discovered in 2024 and tracked as CVE-2024-41869, Adobe has not confirmed in-the-wild exploitation after Li reported coming across a PDF that apparently attempted to weaponize the bug. Related: Adobe Patches 80 Vulnerabilities Across Eight Products Related: Patch Tuesday: Adobe Fixes 44 Vulnerabilities in Creative Apps Related: TrueConf Zero-Day Exploited in Asian Government Attacks Related: Fortinet Rushes Emergency Fixes for Exploited Zero-Day
securityweek.comApr 9, 2026extracted
Operation NoVoice: il malware Android che trasforma i dispositivi obsoleti in zombie digitali
La campagna malevola “Operation NoVoice”, analizzata dai ricercatori di McAfee, rappresenta un’attività su larga scala che si aggiunge al panorama del malware Android. Il punto di forza dell’attacco non è tanto l’inganno dell’utente, quanto la capacità del malware di colpire sistemi obsoleti o non aggiornati in modo mirato, trasformando smartphone apparentemente sicuri in strumenti profondamente compromessi. “La campagna è stata diffusa tramite oltre 50 app precedentemente disponibili su Google Play, camuffate da strumenti di uso quotidiano come app per la pulizia, giochi e programmi per la modifica delle foto. Complessivamente, le app sono state scaricate più di 2,3 milioni di volte, sebbene non sia chiaro quanti dispositivi possano essere stati interessati”, si legge nel rapporto di McAfee. Il cuore dell’operazione sarebbe pertanto l’utilizzo di vulnerabilità Android già note e corrette nei dispositivi più recenti. Il malware non necessiterebbe quindi di exploit innovativi, ma sfrutterebbe tecniche consolidate adattandole dinamicamente al contesto. Una volta eseguito l’exploit, ottenendo privilegi elevati fino al livello root, garantirebbe agli attaccanti il controllo completo del sistema colpito e la possibilità di operare indisturbati. “In altre parole, sui dispositivi vulnerabili il malware può comportarsi come una sorta di zombie digitale, continuando a operare in background anche dopo un riavvio”, spiega Brooke Seipel Editor in Chief di McAfee. Indice degli argomenti Come detto, le applicazioni coinvolte si presenterebbero come software legittimi e funzionanti, riuscendo a superare i controlli degli store ufficiali senza destare sospetti (i ricercatori fanno sapere che queste app sono state rimosse da Google Play e non sono più disponibili per il download). Dopo l’installazione, il malware rimanendo in apparenza inattivo, avvierebbe una fase di profilazione del dispositivo. Vengono raccolte informazioni tecniche come versione del sistema, patch di sicurezza e caratteristiche hardware, tutti dati che vengono successivamente inviati ad un’infrastruttura di comando e controllo in modo da selezionare l’exploit più efficace, rendendo l’attacco altamente personalizzato. Uno degli elementi più critici sarebbe stata la capacità di persistere anche dopo tentativi di rimozione. Il malware installandosi in componenti di sistema e in aree che non vengono eliminate con un semplice ripristino di fabbrica, era anche in grado di autorigenerarsi grazie a meccanismi di controllo interno, secondo un comportamento tipico di un rootkit, aumentando in modo significativo la complessità della sua rimozione. “Una volta installato, il rootkit modifica una libreria di sistema Android fondamentale su cui si basano tutte le app”, continua Brooke Seipel. “Ciò consente l’esecuzione di codice controllato da un malintenzionato all’interno di qualsiasi applicazione aperta dall’utente. Ciò significa che gli aggressori potrebbero potenzialmente accedere ai dati di app di messaggistica, app finanziarie o app di social media senza che l’utente se ne accorga”. Una volta stabilita la persistenza, il malware poteva pertanto eseguire diverse attività avanzate, come ad esempio l’iniezione di codice nelle applicazioni in esecuzione, consentendo l’intercettazione di dati sensibili e la manipolazione del comportamento delle app. Un dettaglio tecnico particolarmente interessante riguarda anche l’origine del nome della campagna. I ricercatori durante le fasi di reverse engineering avrebbero individuato una risorsa interna al malware denominata “novoice” (probabilmente un errore di ortografia di “no voice”). Questo componente conteneva una traccia audio muta la cui funzione era semplicemente quella di mantenere il malware in esecuzione in background. Infatti, riproducendo costantemente questo audio, il malware riusciva a mantenersi continuamente attivo senza generare segnali evidenti per l’utente. L’analisi di McAfee evidenzia come la difesa più efficace per questo tipo di minacce sia il mantenimento aggiornato del dispositivo, oltre all’uso di software di sicurezza anche per i dispositivi mobili. È quindi fondamentale sempre verificare il livello delle patch di sicurezza installate ed evitare l’utilizzo di dispositivi non più supportati. Anche la scelta delle applicazioni deve essere prudente, privilegiando sviluppatori affidabili. Come rimarcato nel rapporto, in caso di infezione sospetta, potrebbe non essere sufficiente la semplice disinstallazione delle app o il ripristino di fabbrica dello smartphone. È necessario procedere con il reflashing completo del firmware o sostituire il dispositivo qualora fuori supporto.
cybersecurity360.itApr 8, 2026extracted
In Other News: ChatGPT Data Leak, Android Rootkit, Water Facility Hit by Ransomware
SecurityWeek’s weekly cybersecurity news roundup offers a concise overview of important developments that may not receive full standalone coverage but remain relevant to the broader threat landscape. This curated summary highlights key stories across vulnerability disclosures, emerging attack methods, policy updates, industry reports, and other noteworthy events to help readers maintain a well-rounded awareness of the evolving cybersecurity environment. Here are this week’s highlights: New Android malware targets mobile banking users A sophisticated new Android banking trojan named Mirax can be rented by cybercriminals for up to $3,000 per month. The malware enables users to gain remote control over devices and includes specialized overlays for more than 700 different financial applications. This toolkit allows attackers to bypass security measures and steal sensitive information. Italy fines Intesa Sanpaolo $36 million over massive data security lapse The Italian data protection authority has ordered Intesa Sanpaolo, the country’s biggest bank, to pay 31.8 million euros ($36 million) following a significant breach that exposed customer information. Investigators found that the bank failed to implement adequate technical safeguards, allowing an employee to illegally access thousands of private accounts for more than two years. Apple updates Mac security to combat ClickFix attacks Apple has introduced a new warning within the macOS Terminal to protect users from ClickFix campaigns that trick people into running malicious code. These social engineering attacks often use fake browser error messages to convince victims to copy and paste dangerous scripts directly into their systems. Apple is now trying to protect users by flagging suspicious commands before they execute. Secret side channel found in ChatGPT code execution environment Researchers at Check Point have discovered a vulnerability that allowed ChatGPT to silently leak sensitive user data to external servers. The flaw exploited the platform’s code execution runtime, using DNS queries as a hidden outbound channel to bypass standard security filters and data sharing warnings. By encoding information like conversation history or uploaded files into these background requests, an attacker could exfiltrate private data without the user ever receiving a notification or consent prompt. The flaw was patched by OpenAI in February. High-severity vulnerability patched in Symantec product Broadcom has issued a patch for a high-severity vulnerability in Symantec Data Loss Prevention (DLP) products. The flaw, identified as CVE-2026-3991, could allow a local attacker to bypass security restrictions and gain elevated privileges on a compromised system. Security teams are advised to upgrade to the latest versions, including DLP 16.1 MP2 or 25.1 MP1. This appears to be the first publicly disclosed Symantec vulnerability of 2026. North Dakota water facility hit by cyberattack The city of Minot recently confirmed that its water treatment plant was targeted by a ransomware attack on March 14. Staff immediately disconnected the affected systems and transitioned to manual operations for 16 hours to ensure the water supply remained safe. Recent FBI hack classified as major incident The FBI has officially classified a breach of its lawful wiretap infrastructure as a major incident, indicating it poses significant national security risks. State-sponsored Chinese hackers are reportedly the primary suspects. Politico reported that the hackers broke in through a commercial ISP’s infrastructure. The compromised system stored “returns from legal process, such as pen register and trap and trace surveillance returns, and personally identifiable information pertaining to subjects of FBI investigations”. Nissan data theft linked to external supplier Nissan has confirmed that information recently leaked online was stolen from a third-party vendor rather than through a direct breach of its own internal systems. The announcement follows threats from the Everest ransomware group, which claimed to have accessed sensitive corporate data and issued an ultimatum for payment. Android rootkit may have infected millions via Google Play Security researchers at McAfee have uncovered a sophisticated Android malware campaign called Operation NoVoice. The malware was identified in over 50 apps on Google Play, which had a total download count of 2.3 million. The NoVoice malware uses vulnerabilities patched in Android between 2016 and 2021 to install a persistent rootkit that can survive a factory reset, allowing attackers to inject malicious code into every app on the phone. Once established, the malware grants full control of the device, enabling attackers to steal valuable data.
securityweek.comApr 3, 2026extracted
ThreatsDay Bulletin: Pre-Auth Chains, Android Rootkits, CloudTrail Evasion & 10 More Stories
The latest ThreatsDay Bulletin is basically a cheat sheet for everything breaking on the internet right now. No corporate fluff or boring lectures here, just a quick and honest look at the messy reality of keeping systems safe this week. Things are moving fast. The list includes researchers chaining small bugs together to create massive backdoors, old software flaws coming back to haunt us, and some very clever new tricks that let attackers bypass security logs entirely without leaving a trace. We are also seeing sketchier traffic on the underground and the usual supply chain mess, where one bad piece of code threatens thousands of apps. It is definitely worth a quick scan before you log off for the day, if only to make sure none of this is sitting in your own network. Let's get into it. Pre-auth RCE chain exposedwatchTower Labs has disclosed two security flaws in Progress ShareFile (CVE-2026-2699 and CVE-2026-2701) that could be chained to achieve pre-authenticated remote code execution. While CVE-2026-2699 is an authentication bypass via the "/ConfigService/Admin.aspx" endpoint, CVE-2026-2701 refers to a case of post-authenticated remote code execution. An attacker could combine the two vulnerabilities to sidestep authentication and upload web shells. Progress released fixes for the vulnerabilities with Storage Zone Controller 5.12.4 released on March 10, 2026. There are about 30,000 internet-facing instances, making patching against the flaws crucial. Rootkit spreads via 50+ appsA new Android malware named NoVoice has been distributed via more than 50 apps that were downloaded at least 2.3 million times. While apps masqueraded as utilities, image galleries, and games, and offered the advertised functionality, the malware attempted to obtain root access on the device by exploiting 22 Android vulnerabilities that received patches between 2016 and 2021. "If the exploits succeed, the malware gains full control of the device," McAfee Labs said. "From that moment onward, every app that the user opens is injected with attacker-controlled code. This allows the operators to access any app data and exfiltrate it to their servers." The malware avoids infecting devices in certain regions, like Beijing and Shenzhen in China, and implements more than a dozen checks for emulators, debuggers, and VPNs. It then contacts a remote server to send device information and fetch appropriate exploits to gain root access and disable SELinux. Upon gaining elevated access, the rootkit modifies system libraries to facilitate the execution of malicious code when specific apps are opened, install arbitrary apps, and enable persistence. NoVoice has been found to share some level of overlap with Triada. One of the targeted apps is WhatsApp, which enabled the malware to harvest data from the app as soon as it was launched. Google has since removed the apps. The highest concentration of infections has been reported in Nigeria, Ethiopia, Algeria, India, and Kenya. FBI flags foreign app risksThe U.S. Federal Bureau of Investigation (FBI) is warning of the data security risks associated with foreign-developed mobile applications. "As of early 2026, many of the most downloaded and top-grossing apps in the United States are developed and maintained by foreign companies, particularly those based in China," the FBI said. "The apps that maintain digital infrastructure in China are subject to China's extensive national security laws, enabling the Chinese government to potentially access mobile app users' data." The bureau also warned that these apps may harvest contact information under the pretext of inviting friends to use them, store personal data in Chinese servers, or contain malware that could collect data beyond what is authorized by the user. "This could include malicious code and hard-to-remove malware designed to exploit known vulnerabilities in various operating systems and insert a backdoor for escalated privileges, such as enabling the download and execution of additional malicious packages designed to provide unauthorized access to users' data," it added. The FBI did not name the apps, but TikTok, Shein, Temu, and DeepSeek fit the profile. New bureau targets cyber threatsThe U.S. State Department has officially launched the Bureau of Emerging Threats, a new unit tasked with protecting U.S. national security against cyber attacks against critical infrastructure, threats in the space domain, and misuse of artificial intelligence (AI) and other advanced technology risks from Iran, China, Russia, and North Korea. Cybercrime kingpin extraditedLi Xiong, the former chairman of a Cambodian financial conglomerate, HuiOne, has been extradited to China. He has been accused of operating gambling dens, fraud, unlawful business operations, and money laundering. According to Xinhua, Li is said to be a key member of the transnational cybercrime syndicate masterminded by Chen Zhi, the chairman of Prince Group, who was extradited to China in January 2026 and has been indicted by the U.S. for operating large-scale, forced-labor "pig butchering" scam compounds in Southeast Asia. In May 2025, the U.S. Treasury's Financial Crimes Enforcement Network labeled Huione Group "a financial institution of primary money laundering concern." Gmail username change arrivesGoogle said it's rolling out the ability to change a username to Google Account users in the U.S. "Your previous Google Account email ending in gmail.com will become an alternate email address," Google said in a support document. "You'll receive emails to both your old and new addresses. The data saved in your account won’t be affected. This includes things like photos, messages, and emails sent to your previous email address." While users can change back to their previous email address at any time, it's not possible to create a new Google Account email ending in gmail.com for the next 12 months. The new email address cannot be deleted either. Court halts AI risk labelA U.S. federal judge has temporarily blocked the Trump administration's designation of Anthropic as a supply chain risk. The AI company had argued that the designation was causing immediate and irreparable harm. "Nothing in the governing statute supports the Orwellian notion that an American company may be branded a potential adversary and saboteur of the U.S. for expressing disagreement with the government," District Judge Rita Lin wrote in the ruling. Phishing apps target mobile usersCybercriminals have set their sights on Android users through a new phishing scheme that disguises malicious applications as beta-testing opportunities for ChatGPT and Meta advertising tools. In these attacks, what appears to be an invitation to advertising apps turns out to be a carefully planned attempt to steal Facebook credentials and hijack control of user accounts. "These messages push malicious apps delivered through '[email protected]' via Firebase App Distribution, a legitimate Google service for distributing pre-release apps to testers," LevelBlue said. "Once installed, these apps request Facebook credentials, leading to phishing and account takeover." A similar campaign has leveraged phishing emails impersonating ChatGPT and Gemini to push users into downloading malicious iOS apps from the Apple App Store. "Disguised as business or ad management tools, these apps prompt for Facebook credentials, leading to credential harvesting," the company added. Drive adds ransomware defenseGoogle has made ransomware detection and file restoration in Drive generally available after launching the feature in beta in September 2025 to help organizations minimize the impact of malware attacks on personal computers. Ransomware detection pauses file syncing, and file restoration allows users to bulk restore their files to a previous version in Drive. "Compared to when the feature was in beta, we are now able to detect even more types of ransomware encryption and are able to do it faster," Google said. "Our latest AI model is detecting 14x more infections, leading to even more comprehensive protection." GhostSocks activity intensifiesCybersecurity company Darktrace said it has observed a steady increase in GhostSocks activity across its customer base since late 2025. "In one notable case from December 2025, Darktrace detected GhostSocks operating alongside Lumma Stealer, reinforcing that the partnership between Lumma and GhostSocks remains active despite recent attempts to disrupt Lumma's infrastructure," it said. Originally marketed on the Russian underground forum xss[.]is as a malware-as-a-service (MaaS), GhostSocks enables threat actors to turn compromised devices into residential proxies, leveraging the victim's internet bandwidth to route malicious traffic through it. It utilizes the SOCKS5 proxy protocol, creating a SOCKS5 connection on infected devices. It began to be widely adopted following its partnership with Lumma Stealer in 2024. Open-source malware spikes 14xThe number of malware advisories across open-source ecosystems has increased 13.6x since January 2024, as threat actors take control of trusted packages to poison the software supply chain. "Of the 1,011 npm ATO [Account takeover] advisories recorded in the OSV database over all time, 930 were filed in 2025, a roughly 12x year-over-year increase representing 92% of all ATOs reported on npm," Endor Labs said. Among the 2025 npm ATO cases, 38.4% of affected packages had more than 1,000 monthly downloads, 18.5% exceeded 10,000, and 11.1% had more than 100,000. Attackers are deliberately targeting packages that are deeply embedded in production systems and automated CI/CD pipelines, maximizing the blast radius of each compromise." XLoader boosts stealth tacticsAn updated version of the XLoader information-stealing malware (version 8.7) has been found to incorporate several changes to the code obfuscation to make automation and analysis more difficult. These include the use of encrypted strings that are decrypted at runtime, encrypted code blocks consisting of functions that are decrypted at runtime, and improved methods to conceal hard-coded values and specific functions, per Zscaler. XLoader also uses a combination of multiple encryption layers with different keys for encrypting network traffic. "XLoader continues to be a highly active information stealer that constantly receives updates," the company said. "As a result of the malware's multiple encryption layers, decoy C2 servers, and robust code obfuscation, XLoader has been able to remain largely under the radar." ImageMagick zero-days enable RCECybersecurity researchers have found multiple zero-day vulnerabilities in ImageMagick that could be chained to achieve remote code execution through a single image or PDF upload. According to Pwn.ai, the attack works on the default configuration and the most restrictive "secure" configuration. The issue affects every major Linux distribution, as well as WordPress installations that process image uploads. It remains unpatched as of writing. In the interim, it's advised to process PDFs in an isolated sandbox with no network access, disable XML-RPC in WordPress, and block GhostScript. Attackers evade CloudTrail loggingAdversaries are bypassing traditional CloudTrail detections, like StopLogging or DeleteTrail, and instead using lesser-known AWS APIs to blind logging systems. This includes creating "invisible activity zones” using PutEventSelectors, using StopEventDataStoreIngestion and DeleteEventDataStore to halt or destroy long-term forensic visibility, disabling anomaly detection via PutInsightSelectors, neutralizing cross-account protections through DeleteResourcePolicy and DeregisterOrganizationDelegatedAdmin. "The real risk is in the sequence: individually, these API calls look like routine maintenance—but chained together, they allow attackers to erase evidence and evade detection entirely," Abstract Security said. LofyGang deploys dual-payload RATThe threat actor known as LofyGang resurfaced with a fake npm package ("undicy-http") that delivers a dual-payload attack: a Node.js-based Remote Access Trojan (RAT) with live screen streaming, and a native Windows PE binary that uses direct syscalls to inject into browser processes and steal credentials, cookies, credit cards, IBANs, and session tokens from more than 50 web browsers and 90 cryptocurrency wallet extensions. The session hijacking module targets Roblox, Instagram, Spotify, TikTok, Steam, Telegram, and Discord. "The Node.js layer independently operates as a full RAT with remote shell, screen capture, webcam/microphone streaming, file upload, and persistence capabilities, all controlled through a WebSocket C2 panel," JFrog said. The Node.js layer also downloads a native PE binary to facilitate data exfiltration via a Discord webhook and a Telegram bot. Nothing here looks huge on its own. That’s the point. Small changes, repeated enough times, start to matter. Things that used to be hard are getting easier. Things that were noisy are getting quiet. You stop seeing the obvious signs and start missing the subtle ones. Read it like a pattern, not a list. Same ideas showing up in slightly different forms. Systems doing what they’re designed to do—just used differently. That gap is where most problems live now. That’s the recap.
thehackernews.comApr 2, 2026extracted
'NoVoice' Android malware on Google Play infected 2.3 million devices
A new Android malware dubbed NoVoice exploited known vulnerabilities to gain root access and has been distributed through more than 50 apps on Google Play Store, with at least 2.3 million downloads. The apps carrying the malicious payload included cleaners, image galleries, and games. They required no suspicious permissions and provided the promised functionality. After launching an infected app, the malware tried to obtain root access on the device by exploiting old Android vulnerabilities that received patches between 2016 and 2021. Researchers at cybersecurity company McAfee discovered the NoVoice operation but could not link it to a specific threat actor. However, they highlighted that the malware shared similarities with the Triada Android trojan. NoVoice infection chain According to McAfee researchers, the threat actor concealed malicious components in the com.facebook.utils package, mixing them with the legitimate Facebook SDK classes. An encrypted payload (enc.apk) hidden inside a PNG image file using steganography is extracted (h.apk) and loaded in system memory while wiping all intermediate files to eliminate traces. McAfee notes that the threat actor avoids infecting devices in certain regions, like Beijing and Shenzhen in China, and implemented 15 checks for emulators, debuggers, and VPNs. If location permissions are not available, the malware continues the infection chain. The malware then contacts the command-and-control (C2) server and collects device information such as hardware details, kernel version, Android version (and patch level), installed apps, and root status, to determine the exploit strategy. Next, the malware polls the C2 every 60 seconds and downloads various components for device-specific exploits designed to root the victim system. The researchers created a map of the infection chain from the delivery stage to the injection phase. McAfee says it observed 22 exploits, including use-after-free kernel bugs and Mali GPU driver flaws. These exploits give the operators a root shell and allow them to disable SELinux enforcement on the device, effectively dropping its fundamental security protections. After rooting the device, key system libraries such as libandroid_runtime.so and libmedia_jni.so are replaced with hooked wrappers that intercept system calls and redirect execution to attack code. The rootkit establishes multiple layers of persistence, including installing recovery scripts, replacing the system crash handler with a rootkit loader, and storing fallback payloads on the system partition. Because that part of the device’s storage isn’t wiped during a factory reset, the malware will persist even after an aggressive cleanup. A watchdog daemon runs every 60 seconds to check the rootkit’s integrity and automatically reinstalls missing components. If checks fail, it forces the device to reboot, causing the rootkit to reload. WhatsApp data theft During the post-exploitation phase, attacker-controlled code is injected into every app launched on the device. Two main components are deployed: one that enables silent installation or removal of apps, and another that operates within any app with internet access. The latter serves as a primary data theft mechanism, and McAfee observed that it primarily targeted the WhatsApp messaging app. When WhatsApp is launched on an infected device, the malware extracts sensitive data required to replicate the victim’s session, including encryption databases, the Signal protocol keys, and account identifiers such as phone number and Google Drive backup details. This information is then exfiltrated to the C2, allowing the attackers to clone the victim’s WhatsApp session on their own device. The researchers noted that although they recovered only a WhatsApp-focused payload, NoVoice’s modular design makes it technically possible to have used other payloads targeting any application on the device. The malicious Android applications carrying NoVoice payloads have been removed from Google Play after McAfee, a member of the App Defense Alliance, reported them to Google. In a statement for BleepingComputer, a Google spokesperson said that devices updated since May 2021 are protected from NoVoice as the exploited vulnerabilities have been addressed years ago. "As an added layer of defense, Google Play Protect automatically removes these apps and blocks new installs. Users should always install the latest security updates available for their device." However, users who have installed them previously should consider their devices and data compromised. As NoVoice targets flaws fixed up to May 2021, upgrading to a device running a later security patch effectively mitigates this threat in its current form. It is recommended that Android users upgrade to actively supported models and only install apps from trusted, well-known publishers, even on Google Play. Update [April 2nd]: Article updated with statement from Google and to make it more clear that the NoVoice exploited old vulnerabilities addressed years ago that impact outdated devices. Overall prevention scores can hide what happens after initial access. Once attackers are using valid credentials, prevention drops sharply. The Blue Report 2026 measures defenses technique by technique across 338 million simulations run in customer production environments. Get the report
bleepingcomputer.comApr 1, 2026extracted
AI Security Firm JetStream Launches With $34 Million in Seed Funding
AI governance startup JetStream Security has launched with $34 million raised in an oversubscribed seed funding round led by Redpoint Ventures, with additional support from CrowdStrike Falcon Fund and angel investors. Founded by security veterans from Attivo Networks, CrowdStrike, Cohesity, Dazz, McAfee, and SentinelOne, US-based JetStream aims to help enterprises securely deploy generative and agentic AI tools in production. The startup has built an AI governance platform that leverages AI Blueprints, described as dynamic, system-generated graphs providing real-time visibility into how AI operates across enterprise environments. The blueprints were designed to map the relationships between AI agents and their models, the accessed data, the tools they use, and the identities behind them. They leverage real runtime behavior tracking, flag deviations, track workflow costs, and can be updated through authorization workflows. They make behavior and costs visible, governable, and attributable. JetStream aims to accelerate the adoption of AI within enterprise environments by helping businesses understand and control AI agents’ operations across their entire stack. The startup plans to expand its engineering, product, and go-to-market teams. “AI is moving faster than most organizations can manage. With AI Blueprints, we give teams a clear, practical way to understand what their AI is doing, manage risk in real time, and move from experimentation to production with confidence. Our goal is simple: help companies scale AI responsibly, without slowing innovation,” said JetStream CEO and co-founder Raj Rajamani. Related: Fig Security Launches With $38 Million to Bolster SecOps Resilience Related: Gambit Security Emerges From Stealth With $61 Million in Funding
securityweek.comMar 4, 2026extracted
「年齢確認を避けたい」心理を突く“偽VPN”のワナ 2026年に警戒すべき7つの詐欺パターン
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atmarkit.itmedia.co.jpMar 3, 2026extracted
McAfee upgrades Scam Detector to spot QR code scams and suspicious messages
McAfee upgrades Scam Detector to spot QR code scams and suspicious messages McAfee announced upgrades to Scam Detector that improve protection across common scam channels. The enhanced tool helps users check QR code safety and identify suspicious direct messages across apps. In 2025, according to McAfee’s 2026 State of the Scamiverse report, Americans were hit hard by online scams, receiving an average of 14 scam messages per day across text, email, and social media. On top of that, people lost nearly 114 hours a year just trying to decide what was real and what wasn’t. It’s a growing burden, and a clear call for protection that meets people in the real moments where online risks show up. “Scams aren’t just getting smarter they’re getting more personal. Powered by AI, they’re evolving more quickly and getting more targeted every day,” said Joe Manna, Chief Product and Engineering Officer, McAfee. “With these upgrades, we’re making scam protection stronger, faster, and easier for everyone. It’s our job to stay ahead of the threats, something we’ve done for over 25 years.” Taking QR code scan safety from guesswork to go-ahead Scams are evolving fast, making it harder for people to know what’s safe. Cybercriminals are now hiding malicious links behind QR codes on menus, parking meters, posters, delivery packages, anywhere someone might scan without thinking twice. McAfee research shows this threat is now mainstream. 68% of people scanned a QR code in the past three months and 18% landed on a suspicious or unsafe page. That makes QR, code scams a mainstream threat. Scam Detector’s instant QR safety checks help people avoid risky links before they tap, addressing a risk that nearly half of Americans see as very or extremely serious. Regulators and law enforcement are also raising red flags. The FTC has warned consumers about QR code scam stickers placed over legitimate codes on restaurant tables and in public spaces, and the FBI has flagged cases where QR codes kick off payment and identity theft schemes. Phishing isn’t just happening over email anymore. It shows up in everyday chats on WhatsApp, Instagram, Messenger, and Telegram, and many of these messages don’t include links, making them even tougher to identify. They use urgency, emotion, or AI-generated text that sounds surprisingly convincing. The FTC reports that social media scams drove $1.9 billion in reported losses in 20243, making it one of the top channels for fraud and identity theft. Scammers are also changing their approach. 26% of suspicious social messages contain no link at all. Instead, scammers start the conversation with a vague “Hey…” or a friendly prompt meant to lower your guard. Scam Detector flags these risky messages in real time, helping you spot the scam before it escalates. McAfee’s Scam Detector, with instant QR code scam checks and smarter social safeguards, will be included at no extra cost in all McAfee plans. What’s new in Scam Detector To help people stay safer, McAfee’s upgraded Scam Detector now includes: Instant QR safety checks. Scan any QR code, including parking, menus, deals, and more, and get quick confirmation the link is safe before you tap. Smarter social messaging protection. Get clearer warnings for suspicious texts, emails, and DMs – even those without risky links – across popular platforms, so you can spot more scams faster.
helpnetsecurity.comJan 28, 2026extracted
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