Search/outlook[.]com
● IOC

outlook[.]com

Type
DOMAIN
Source
News extraction
First seen
Feb 3, 2026
Last seen
Oct 29, 2026
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2
FBI warns of Russian, Iranian cyber activity involving messaging platforms
Threat actors with ties to Iran successfully broke into the personal email account of Kash Patel, the director of the U.S. Federal Bureau of Investigation (FBI), and leaked a cache of photos and other documents to the internet. Handala Hack Team, which carried out the breach, said on its website that Patel "will now find his name among the list of successfully hacked victims." In a statement shared with Reuters, the FBI confirmed Patel's emails had been targeted, and noted necessary steps have been taken to "mitigate potential risks associated with this activity." The agency also said the published data was "historical in nature and involves no government information." The leak includes emails from 2010 and 2019 allegedly sent by Patel. Handala Hack is assessed to be a pro-Iranian, pro-Palestinian hacktivist persona adopted by Iran's Ministry of Intelligence and Security (MOIS). It's tracked by the cybersecurity community under the monikers Banished Kitten, Cobalt Mystique, Red Sandstorm, and Void Manticore, with the group also operating another persona called Homeland Justice to target Albanian entities since mid-2022. A third persona linked to the MOIS-affiliated adversary is Karma, which is said to have been likely completely replaced by Handala Hack since late 2023. Data gathered by StealthMole has revealed that Handala's online presence extends beyond messaging platforms and cybercrime forums like BreachForums to publicize its activities, maintaining a layered infrastructure that includes surface web domains, Tor-hosted services, and external file-hosting platforms such as MEGA. "Handala has consistently targeted IT and service providers in an effort to obtain credentials, relying largely on compromised VPN accounts for initial access," Check Point said in a report published this month. "Throughout the last months, we identified hundreds of logon and brute-force attempts against organizational VPN infrastructure linked to Handala-associated infrastructure." Attacks mounted by the proxy group are known to leverage RDP for lateral movement and initiate destructive operations by dropping wiper malware families such as Handala Wiper and Handala PowerShell Wiper via Group Policy logon scripts. Also used are legitimate disk encryption utilities like VeraCrypt to complicate recovery efforts. "Unlike financially motivated cybercriminal groups, Handala-associated activity has historically emphasized disruption, psychological impact, and geopolitical signaling," Flashpoint said. "Operations attributed to the persona frequently align with periods of heightened geopolitical tension and often target organizations with symbolic or strategic value." The development comes against the backdrop of the U.S.-Israel-Iran conflict, prompting Iran to go on a retaliatory cyber offensive against Western targets. Notably, Handala Hack claimed credit for crippling the networks of medical devices and services provider Stryker by deleting a huge trove of company data and wiping thousands of employee devices. The attack is the first confirmed destructive wiper operation targeting a U.S. Fortune 500 company. In an update issued on its website this week, Stryker said "the incident is contained," adding it "reacted quickly to not only regain access but to remove the unauthorized party from our environment" by dismantling the persistence mechanisms installed. The breach, it stated, was confined to its internal Microsoft environment. The threat actors have been found to use a malicious file to run commands that allowed them to conceal their actions. However, the file does not possess any capabilities to spread across the network, Stryker pointed out. Palo Alto Networks Unit 42 said the primary vector for recent destructive operations from Handala Hack likely involves the "exploitation of identity through phishing and administrative access through Microsoft Intune." Hudson Rock has found evidence that compromised credentials associated with Microsoft infrastructure obtained via infostealer malware may have been used to pull off the hack. In the wake of the breach, both Microsoft and the Cybersecurity and Infrastructure Security Agency (CISA) have released guidance on hardening Windows domains and fortifying Intune to defend against similar attacks. This includes using the principle of least privilege, enforcing phishing-resistant multi-factor authentication (MFA), and enabling multi-admin approval in Intune for sensitive changes. Flashpoint has characterized the attack on Stryker as a dangerous shift in supply chain threats, as state-linked cyber activity targeting critical suppliers and logistics providers can have cascading impacts across the entire healthcare ecosystem. DoJ Takes Down Pro-Iranian Hacker Domains Handala Hack's leak of Patel's personal emails comes in response to a court-authorized operation that led to the seizure of four domains operated by MOIS since 2022 as part of an effort to disrupt its malicious activities in cyberspace. The U.S. government is also offering a $10 million reward for information on members of the group. The names of the seized domains are listed below - justicehomeland[.]org handala-hack[.]to karmabelow80[.]org handala-redwanted[.]to "The seized domains [...] were used by the MOIS in furtherance of attempted psychological operations targeting adversaries of the regime by claiming credit for hacking activity, posting sensitive data stolen during such hacks, and calling for the killing of journalists, regime dissidents, and Israeli persons," the U.S. Department of Justice (DoJ) said. This included the names and sensitive information of about 190 individuals associated with or employed by the Israeli Defense Force (IDF) and/or Israeli government, and 851 GB of confidential data from members of the Sanzer Hasidic Jewish community. In addition, an email address linked to the group ("handala_team@outlook[.]com") is alleged to have been used to send death threats to Iranian dissidents and journalists living in the U.S. and elsewhere. In a separate advisory, the FBI revealed that Handala Hack and other MOIS cyber actors have employed social engineering tactics to engage with prospective victims on social messaging applications to deliver Windows malware capable of enabling persistent remote access using a Telegram bot by masquerading the first-stage payload as commonly used programs like Pictory, KeePass, Telegram, or WhatsApp. Using Telegram (or other legitimate services) as C2 is a common tactic by threat actors to hide malicious activity among normal network traffic, and significantly reduce the likelihood of detection. Related malware artifacts found on compromised devices have revealed added capabilities to record audio and screen while a Zoom session was active. The attacks have targeted dissidents, opposition groups, and journalists, per the FBI. "MOIS cyber actors are responsible for using Telegram as a command-and-control (C2) infrastructure to push malware targeting Iranian dissidents, journalists opposed to Iran, and other opposition groups around the world," the bureau said. "This malware resulted in intelligence collection, data leaks, and reputational harm against the targeted parties." Handala Hack has since resurfaced on a different clearnet domain, "handala-team[.]to," where it described the domain seizures as "desperate attempts by the United States and its allies to silence the voice of Handala." The ongoing conflict has also prompted fresh warnings that it risks turning critical infrastructure sector operators into lucrative targets, even as it has triggered a surge in DDoS attacks, website defacements, and hack-and-leak operations against Israel and Western organizations. Hacktivists entities have also engaged in psychological warfare and influence operations with an aim to sow fear and confusion among the targeted populations. In recent weeks, the energy sector in the Middle East has drawn the attention of a relatively new cybercriminal group called Nasir Security. The group, instead of directly targeting energy companies, has gone after their contractors and third-parties to leak internal data, leading to "incorrect assumptions" about the origin of hacks. "The group is attacking supply chain vendors involved in engineering, safety, and construction," Resecurity said. "The supply chain attacks attributed to Nasir Security are likely carried out by cyber-mercenaries or individuals hired or sponsored by Iran or its proxies." "The cyber activity tied to this conflict is becoming increasingly decentralized and destructive," Kathryn Raines, cyber threat intelligence team lead for the National Security Solutions at Flashpoint, said in a statement. "Groups like Handala and Fatimion are targeting private-sector organizations with attacks designed to erase data, disrupt services, and introduce uncertainty for both businesses and the public. At the same time, we're seeing a greater use of legitimate administrative tools in these cyber operations, making it significantly harder for traditional security controls to detect." That's not all. MOIS-linked actors have been increasingly engaging with the cybercrime ecosystem to support its objectives and provide a cover for its malicious activity. This includes Handala's integration of Rhadamanthys stealer into its operations and MuddyWater's use of the Tsundere botnet (aka Dindoor) and Fakeset, the latter of which is a downloader used to deliver CastleLoader. "Such engagement offers a dual advantage: it enhances operational capabilities through access to mature criminal tooling and resilient infrastructure, while complicating attribution and contributing to recurring confusion around Iranian threat activity," Check Point said. "The use of such tools has created significant confusion, leading to misattribution and flawed pivoting, and clustering together activities that are not necessarily related. This demonstrates that the use of criminal software can be effective for obfuscation, and highlights the need for extreme caution when analyzing overlapping clusters."
1 shared
Apr 2, 2026
Russia’s APT28 Rapidly Weaponizes Newly Patched Office Vulnerability
The Russia-linked state-sponsored threat actor known as APT28 (aka UAC-0001) has been attributed to attacks exploiting a newly disclosed security flaw in Microsoft Office as part of a campaign codenamed Operation Neusploit. Zscaler ThreatLabz said it observed the hacking group weaponizing the shortcoming on January 29, 2026, in attacks targeting users in Ukraine, Slovakia, and Romania, three
1 shared
Feb 3, 2026
Connections
6 relationships
Tricks from the Past deployed via signed ChatGPT and Claude binaries
Key Points Check Point Research discovered a campaign we track as Yoba where attackers abuse the popularity of AI tools such as ChatGPT and Claude, creating fake GitHub projects that pretend to be desktop applications like GPT-5.6 Sol , GPT-6 Astra , and Claude Opus . The malware is placed next to legitimate, signed executables from OpenAI and Anthropic so it can be loaded indirectly, a technique commonly known as DLL sideloading, which is often used to bypass security protections. This campaign demonstrates strong operational security (OPSEC) by avoiding dedicated command-and-control (C2) infrastructure and instead relying on Telegram, Tor, Catbox, and DNS over HTTPS (DoH). The actor behind the campaign shows indicators that suggest Russian origins and appears to operate primarily in the UTC-4 time zone. Introduction Over the past two months, we have been tracking a campaign that abuses the popularity of AI tools such as ChatGPT and Claude to spread a custom malware chain we call Yoba . The attackers use fake GitHub projects that pretend to be AI desktop applications like GPT-5.6 Sol , GPT-6 Astra , and Claude Opus . These projects look convincing and use real GitHub infrastructure, which helps them appear legitimate to potential victims. The website exhibits search-targeted content and suspicious installer-delivery tactics consistent with an SEO-poisoning lure. Inside the installers, there is a malicious component we refer to as the YobaDropper . This dropper includes another component, the YobaLoader , which is responsible for contacting attacker-controlled infrastructure and fetching the final payload. In this report, we describe how victims are lured to these fake projects, how the YobaDropper and YobaLoader work together, and how the attackers ultimately use this chain to run unwanted software on infected systems. Figure 1 — GPT-6 Astra campaign, attack chain. GitHub Repositories The initial access occurred via malicious GitHub repositories. The projects were impersonating ChatGPT and Claude related models, more specifically GPT-5.6 Sol, GPT-6 Astra, and Claude Opus. No manipulation of fake engagement (stars/forks) was in place. Figure 2 — GitHub repository. Aside from the repositories, GitHub.io pages were used to describe the capabilities of the software, while the malware was hosted as a release. Figure 3 — GitHub.io page with links to malicious release. These phishing landing pages contain download links that point directly to the malicious ZIP releases hosted on GitHub. Figure 4 — Claude Opus GitHub[.]io page. While the repositories do not show signs of fake engagement (such as artificially inflated stars or forks) that would promote them within GitHub’s own search, they still appear among the top results on Google. This is most likely due to SEO poisoning, where the attackers optimize titles, descriptions, and hosting domains to make their malicious projects rank highly in external search engines. Figure 5 — Google Search results. Each repository uses a different email address ( edwardcarlsonmkym[@]outlook[.]com , daxschneiderdjuu[@]outlook[.]com , and rioprestonlfyx[@]outlook[.]com ), and the uploader appears to operate in UTC+4 , UTC-4 , and UTC+3 respectively. This inconsistency likely reflects a deliberate attempt to obscure the threat actor’s true operational timezone. Repositories’ initial commits: Repository: /gpt-5-6/sol-free-desktop ================================================== [2026-07-16T14:39:40Z] Author: gpt-5-6 tree aebceccb0f3303806c35a73da865b684594487c1 author gpt-5-6 <[email protected]> 1784212780 +0400 committer GitHub <[email protected]> 1784212780 +0400 Initial commit ================================================== Repository: /gpt-5-6/gpt-5-6.github.io ================================================== [2026-07-16T14:44:31Z] Author: gpt-5-6 tree 249dae41d64583a6a9ebcb60e3ad36d6216dd6e4 author gpt-5-6 <[email protected]> 1784213071 +0400 committer GitHub <[email protected]> 1784213071 +0400 Initial commit ================================================== Repository: /opus-5-0/opus-5-0.github.io ================================================== [2026-08-31T21:33:26Z] Author: opus-5-0 tree 46ae1f147cf70d4df1471f0e9df46b654d11fe9c author opus-5-0 <[email protected]> 1788212006 -0400 committer GitHub <[email protected]> 1788212006 -0400 Create readme.md ================================================== Repository: /gpt-6-astra/gpt-6-astra.github.io ================================================== [2026-09-04T22:56:13Z] Author: gpt-6-astra tree 028bfd4c1041dc1f030c9480a463366e6089e661 author gpt-6-astra <[email protected]> 1788562573 +0300 committer GitHub <[email protected]> 1788562573 +0300 Initial commit ================================================== Although the first repository was created around July 2026, the first two malicious releases were not uploaded until the end of August, and a third malicious release followed approximately five days later. Release: /gpt-5-6/gpt-5-6.github.io/releases/tag/v5.6.0 [2026-08-30T19:15:44Z] gpt-5-6 Uploaded sol-setup.zip (application/zip) (269) ================================================== Release: /opus-5-0/opus-5-0.github.io/releases/tag/Release_v5.0.0 [2026-08-31T21:38:13Z] opus-5-0 uploaded Setup-Claude.zip (application/zip) (82) ================================================== Release: /gpt-6-astra/gpt-6-astra.github.io/releases/tag/Astra [2026-09-04T23:14:11Z] gpt-6-astra Uploaded GPT-6-Astra-Setup.zip (application/zip) (352) Malicious zip files hosted on GitHub and other legitimate platforms are usually password-protected , since this prevents automated tools from unpacking and therefore analyzing them. However, neither of these repositories used password protection, as the binaries already had very low detection rates thanks to their anti-sandbox and other anti-analysis techniques. Figure 6 — Low detection rate. While the two ChatGPT-related releases and their repositories were created about five days apart, the ZIP files contain mostly the same files, including the malicious components, and they maintain the same IoCs. Filenamesol-setup.zip (ChatGPT)GPT-6-Astra-Setup.zip151.0.7922.174.manifest2026-08-30 15:11:18N/AD3dx9_41.dllN/A2021-10-18 17:58:06owl-shell-runtime.json2026-08-30 15:11:182026-08-30 15:11:18Setup.exe2026-08-30 15:11:182026-08-30 15:11:18snapshot_blob.bin2026-08-30 15:11:182026-08-30 15:11:18v8_context_snapshot.bin2026-08-30 15:11:182026-08-30 15:11:18vk_swiftshader.dll2026-08-30 15:11:182026-08-30 15:11:18vk_swiftshader_icd.json2026-08-30 15:11:182026-08-30 15:11:18vulkan-1.dll2026-08-30 15:11:182026-08-30 15:11:18 winmm.dll 2026-08-30 15:14:20 2026-08-30 15:14:20 By adding the compilation timestamps to this these time-related operations, we are able to determine which files appear to contain the malicious functionality without performing any initial analysis. FilenameCompilation Timestamp (UTC)D3dx9_41.dll2076-06-18 21:48:40Setup.exe2026-08-19 20:00:27vk_swiftshader.dll2026-08-19 20:00:27vulkan-1.dll2026-08-19 20:00:27 winmm.dll 2026-08-30 19:14:19 The file that immediately stands out is winmm.dll , which was compiled the same day it was added to the ZIP archive. This suggests it is the component with the malicious functionality, while the other files serve to make the package appear legitimate. The compilation timestamp also indicates the actor is operating in the UTC-4 timezone . Furthermore, Setup.exe , a legitimate signed OpenAI executable, is used during execution to sideload the malicious DLL. The Setup-Claude.zip file contains the same structure, though in this case Setup.exe is a legitimate signed Claude executable. Figure 7 — Signed OpenAI and Anthropic binaries. YobaDropper – winmm.dll The malicious DLL contains multiple export names, suggesting that the legitimate winmm.dll has been spoofed. As in many other cases, these exports exist but their code has been stripped out, leaving them mostly empty and reducing the size of the binary. Figure 8 — Stripped code from exports. All 180 exports contain just a return instruction ( C3 ) followed by NOPs ( 90 ), and DllEntryPoint is the only one containing actual code. Anti-Analysis, Pre-Checks The first function implements an anti-sandbox technique: the malware hashes the basename of its host executable and checks whether the checksum matches the hardcoded value 0xE6C2F326 . The hashing algorithm has been identified as DJB2, which other malware families have also used in the past. The malware expects to run under the name Setup.exe , so this check fails if the DLL is executed on its own inside a sandbox environment. Figure 9 — DJB2 algorithm and hash check. Although a failed check does not terminate the process, the DLL performs 200,000 iterations of Sleep(5500) , amounting to approximately 12.73 days, while repeatedly appending the decoded filler string pddy to a local UTF-16 buffer. In the second function, the malware checks whether the infected user is located in a CIS country by inspecting the system’s keyboard layout. Ukraine was historically included in such checks, but it is not in the list used by recent malware. The language check is unusual. Instead of comparing the victim’s keyboard language ID against hardcoded values, the malware checks whether the ID falls within the range 0x19 – 0x44 . For IDs in that range, it tests the corresponding bit in the bitmask 0xEC0400C8401 to determine whether the language belongs to a CIS-region country, with an explicit exception for ID 0x22 (Ukrainian). Bazarloader has used a similar technique in the past, with the bitmask 0xD8080190C03 . Figure 10 — Language checks. Language IDs excluded from the infection: Russian Belarusian Tajik Armenian Azerbaijani Georgian Kazakh Kyrgyz Turkmen Uzbek Tatar The malware continues to resolve Windows API functions dynamically from kernel32.dll and ntdll.dll by comparing hashes of the exported function names. The hashing algorithm is again DJB2, with the initial value 0x1505 . The last check before the malware unpacks and deploys the embedded payload tests whether the process is running with administrator privileges. If it is not, the malware displays the message “Please run this program as Administrator.” to the victim and terminates itself, requiring the user to rerun it with elevated privileges. Deploying Phase The dropper contains multiple XOR-encrypted strings that are decrypted when needed. These strings include the file paths where the embedded binaries are dropped, as well as the decryption keys. It creates a directory under ProgramData named WMProcess . Then it copies the original WMPDMC.exe from System32 into this newly created folder. Next, it decrypts the embedded payload using the string IRANNUMBERONE as the XOR seed and drops the decrypted payload in the same folder under the name wmpdui.dll . Using scheduled tasks, the dropper maintains persistence by leveraging the legitimate executable, which will sideload the malicious payload. To make the task appear legitimate, it sets the author to Microsoft Corporation and the description to Collects device metadata for Windows Media Player. . It also sets the boot-trigger delay to PT3M , which corresponds to a 3-minute delay after system startup, and configures the task to run under the Local System account ( S-1-5-18 ). YobaLoader – wmpdui.dll The second-stage payload contains the same code as the dropper, which indicates that the same developer is responsible for both components. The same anti-sandbox technique is used, forcing the malware to be run only by WMPDMC.exe . It again checks the hash of the process basename, and only continues execution if this value matches the hardcoded hash 0x552751E3 . The dropper uses the DJB2 hashing algorithm to hash and verify the process name and to resolve Windows API functions, both with the same seed 0x1505 . The loader (YobaLoader) also uses DJB2 for the process name with the same seed as the dropper, but for resolving Windows API functions it uses a different seed, 0x1DEB . Figure 11 — Hashing windows API functions. The developer reused the same string-hashing algorithm but changed the seed ( 0x1505 in the dropper, 0x1DEB in the loader) to separate the hash spaces for each stage, complicating analysis, and reducing the effectiveness of hash-based detection and automated tooling. Network The downloader uses an interesting process to obtain the next-stage payload. It first decrypts multiple strings using a simple XOR operation, among these strings is the URL of a Telegram channel, t[.]me/yoba_fanclub . It then visits this channel using the user-agent string Mozilla/5.0 (Windows NT 10.0; Win64;) and parses the HTML source to extract the src URL of the element with the class tgme_page_photo_image . This class refers to the location where the channel’s profile image is hosted. Figure 12 — Telegram channel. It downloads the image and uses the last 50 bytes as a seed to generate a domain based on three lists of dictionary words, which are decrypted as part of the DGA algorithm. This DGA algorithm uses three sets of strings: Adjectives Nouns Verbs Finally, it generates and appends an integer value in the range 0–999 . The generated domain has the following format, "$adjective-$noun-$verb-$digit.dedyn[.]io" . By changing the image of the Telegram channel, a new domain can be generated. The following Python snippet represents the DGA algorithm: """ Author: @Tera0017/Check Point Research """ from pathlib import Path import sys ADJECTIVES = [ "silver", "amber", "wild", "tiny", "brave", "lucky", "calm", "sharp", "swift", "bright", "quiet", "bold", "gentle", "fierce", "royal", "mystic", "username", "degenerate", "allblack", "kizta", "graf", ] NOUNS = [ "tiger", "river", "stone", "cloud", "wolf", "ocean", "forest", "mountain", "eagle", "raven", "ember", "comet", "fox", "dragon", "piano", "viper", "yoba", "yyoba", "static", "cpp", "example", ] VERBS = [ "runs", "jumps", "sings", "sleeps", "flies", "hunts", "burns", "floats", "shines", "whispers", "roars", "dreams", "strikes", "glides", "watches", "hides", "duty", "free", ] FNV_MULTIPLIER = 0x1000193 MASK64 = 0xFFFFFFFFFFFFFFFF def hash_bytes(data: bytes, seed: int) -> int: value = seed for byte in data: value = ((value ^ byte) * FNV_MULTIPLIER) & MASK64 return value def generate_domain(image_path: str) -> str: image = Path(image_path).read_bytes() if len(image) < 50: raise ValueError("Image must contain at least 50 bytes") tail = image[-50:] adjective = ADJECTIVES[hash_bytes(tail, 0x811C9DC5) % len(ADJECTIVES)] noun = NOUNS[hash_bytes(tail, 0xAF0154A5) % len(NOUNS)] verb = VERBS[hash_bytes(tail, 0xFE5439E4) % len(VERBS)] number = hash_bytes(tail, 0xFFA7471A) % 1000 return f"{adjective}-{noun}-{verb}-{number}.dedyn[.]io" if name == "main": image_file = sys.argv[1] print(generate_domain(image_file)) It then queries Google’s DNS-over-HTTPS (DoH) API to obtain an encrypted command from a DNS TXT record, using a URL of the form https://dns[.]google/resolve?name=$DGA&type=TXT . By relying on a DoH service and common file-hosting platforms, the actor aims to bypass passive DNS monitoring and some gateway-based security protections, making their command-and-control traffic harder to distinguish from regular user activity. Figure 13 — DNS TXT record, base64 encoded data. It decodes the Base64-encoded data field from the JSON response and validates it using Ed25519 signature verification with the public key b5c2d20623d4e6647d06a42864edd8629f82c5c384b243fdaeeeca24b3873d64 . Once the signature validation succeeds, it decrypts the decoded value using AES in ECB mode with the key 1d0d1368b4d53f3a6322cf40e84e63db . Decrypted response: 1https://files.catbox[.]moe/z5zpy9.dat The downloader retrieves the encrypted payload and decrypts it using the same AES key and ECB mode that were previously used for the DNS data. The malware provides three methods for deploying the downloaded payload. The selected method is indicated by the first character of the decrypted response that follows the URL (1/2/3): Injects the downloaded payload into svchost.exe (NtWriteVirtualMemory/NtCreateThreadEx). It enumerates running processes and, using the hashing algorithm with the seed 0x1DEB , searches for the hash value 0xC26CDEA5 , which corresponds to svchost.exe . Saves the payload as a %TEMP%\$10_rand_char\$10_rand_char.exe file and executes it. Before running the executable, the downloader removes the Zone.Identifier alternate data stream, which is hidden metadata used by Windows to track the origin of downloaded files. Saves the payload as a %TEMP%\$10_rand_char\$10_rand_char.ps1 PowerShell script and invokes it with the following parameters: -WindowStyle Hidden -ExecutionPolicy Bypass -File . Finally, the injected payload into svchost.exe is an XMRig 6.26.0 miner with a hidden command line targeting a TLS-enabled onion mining endpoint through a local Tor SOCKS5 proxy. It can unpack and start Tor 0.4.9.12 plus lyrebird 0.8.1, monitor user-input activity to pause mining, and conditionally load the WinRing0 driver service for MSR-based mining optimization. FieldValueMining server 3zciedc3enu4muwc5adxciyk6u3juhvhvbv6bfrk2arawlvb7k7ovxad[.]onion:443 Pool password/token dcde1f56048fa18657dc4820397592f7 TLSEnabled ( --tls )Proxy socks5://127.0.0[.]1:9550 Donation level 0 CPU thread hint 85% User-active pauseResume after 240 seconds idleSingleton mutex Local\WindowsSecurity Tor data directory %TEMP%\torbundle\data Tor bridge 1 obfs4 51.89.231[.]85:24526 A44162645CEAA39C7106C49A3F36FD99FF8D8A00 cert=cVNRBh1enpvEGxA0ouu568EDFhWPl9taldydYgiJk77OX4MzoYIRz3qx4q7yHL5bRN60Gg iat-mode=0 Tor bridge 2 obfs4 51.89.228[.]250:21668 BA8BD67D8898CF378D4F73821DEB5657F4BB98DF cert=bEpLLgOwJ9fOJbeHb5r+ronUF2ck5nRd0Jl3zuy7rLoUp732QK2p/CUHjTAfBPCGfcVtSA iat-mode=0 Although we observed an XMRig cryptominer as the final payload in this campaign, the YobaLoader is a generic loader. The operator can supply any PE or PowerShell payload via the signed DNS TXT tasking, so future waves may deliver different malware families. Past Yoba Versions Yoba exposes, through the same hashing algorithm it uses for anti-analysis, the specific process name under which it expects to run. Even without having full visibility into the campaign from the very beginning, analysts can still infer which targeted software was used to lure users by correlating this expected process name with the fake AI applications promoted on the associated GitHub repositories and GitHub Pages sites. HashProcessProduct 0xE6C2F326 Setup.exeChatGPT & Claude Opus 0x56221573 Cursor.exeCursor AI Coding Agent 0x39DE0DD8 UnknownUnknown Earlier YobaDropper observed in the wild appeared in early June 2026. In this campaign, the dropper was sideloaded by a process named Cursor.exe (hash: 0x56221573 ). It remains unclear whether Cursor.exe was a legitimate signed binary. The majority of the functionality in this early variant is consistent with the newer versions of both the dropper and the loader. YobaDropper shows two main differences between its older and newer versions: Unpacking logic: In the oldest version, the buffer is first Base64-decoded and then XOR-decrypted to extract the YobaLoader . In the newer version, the developer removed the Base64-decoding step and performs only XOR decryption, simplifying the unpacking process. Execution method: The second change concerns how YobaLoader is triggered. The newer version uses Scheduled Tasks to start the copied legitimate host and sideload the loader, whereas the first discovered version creates the shortcut msdefender_scheduler{7940-8490-6670-1081}.lnk in the Startup folder. This shortcut executes a copied %APPDATA%\Microsaft Difendir\msdtc.exe and sideloads %APPDATA%\Microsaft Difendir\mswsock.dll . Earlier version of YobaLoader contains language checks and excludes only Russia from infection. In later versions, these checks were moved to the dropper stage and expanded to exclude additional CIS countries, shifting regional filtering earlier in the infection chain. Figure 14 — Exclusion of Russian language from infection. While the overall DGA logic remains the same, the early variant uses the extension .aber[.]ir instead of .dedyn[.]io . In addition, instead of injecting into svchost.exe , this variant injects into a different running process identified only by its hashed name 0x21BD94C2 . The initial loader also implements several anti-analysis techniques that have been removed from the newer versions of the malware: 1. Anti-debugging It enumerates all kernel object types and reads their TypeName values. Each type name is hashed using DJB2 with the seed 0x1DEB until the hash matches 0xCF9EE149 , which corresponds to DebugObject . If a DebugObject is found, it indicates that a debugger is or was active, and in that case the malware terminates itself. Figure 15 — DebugObject via NtQueryObject-ObjectAllTypesInformation. 2. Anti-VM The malware uses a VM/sandbox-detection scoring function while running several hardware fingerprinting checks. The maximum score is 6, and the minimum required to continue the infection chain is 3. The checks include: Hypervisor-present bit and CPUID timing (via RDTSCP ). Hypervisor vendor signature string (CPUID leaf 0x40000000 ). CPU brand string sanity checks (CPUID leaves 0x80000002 – 0x80000004 ). SMBIOS-based firmware fingerprinting ( GetSystemFirmwareTable – RSMB ) Figure 16 — Hypervisor vendor signature string technique. Despite these small differences in early anti-analysis behavior, the Telegram channel and the profile image used as the seed for the DGA remain the same as in the newer variants, indicating that the operator retained the same infrastructure while iterating on the loader’s evasion logic. Conclusion The Yoba campaign shows how attackers can use trusted platforms and the current interest in AI tools to distribute malware in a way that looks believable and harmless at first glance. By packaging their code together with well-known software names and hosting it on GitHub, they lower the chances that users or basic security checks will immediately flag the files as suspicious. Although the underlying techniques are more advanced than typical commodity malware, the main goals remain straightforward: gain a foothold on the victim’s system, avoid easy detection, and then run the attacker’s chosen payload. Organizations should be cautious about installing “AI helpers” or similar tools from unverified repositories and should enforce policies that restrict running software from unknown sources. Combining user awareness with basic technical controls. Indicators of Compromise DescriptionValueGitHub pagesgithub[.]com/gpt-5-6/sol-free-desktop gpt-5-6.github[.]io github[.]com/gpt-5-6/gpt-5-6.github.io github[.]com/gpt-6-astra/gpt-6-astra.github.io gpt-6-astra[.]github[.]io opus-5-0[.]github[.]io github[.]com/opus-5-0/opus-5-0.github[.]ioZIP Files332e3b685e375aa44a5ec98511fc53be821df46a c2b986704406d47dd88ee4e2fcffebc854ff2ce4Signed OpenAI & Anthropic binaries163c81187d8024123912c3c12d905fd5210afcb3 65a3ac8f341ae04982005fd2c4e83627a68793a3YobaDropper17e8639a00bb32b10cb9cf0d292e9441456ce4bb 20238b36645fc63139a76b19a480c6a9166472fa 4ea5b71202b69fc27b06ef9ee3f6f51d6f7b8586 60aece343959a2e1840f6aaeffa38b73ed21af2c 8777db31d8df78f36e4544a132d843dfb2a0f026YobaLoader22661f4bada8167fa0f410b75e53184998990abb 2ecb5548e9774a3d05e8669e8414dcc366929b79 3fef1af3664429e621d3e0f9408cb5102ef02b84 55043ea6d102670c014e2be5a8197e70b7c201cb 79e87a6df59d68b2dbd2c43950df5663d671007c 7dfcee02732ed89f1ddf25d1689863c26de3df15 bead5748d813a9828ddb7603a32e52aa15349768 cf90c4599257e76984a199d98b1fd082b820a54d eeedc5c9007d7f01808285e0ae0c0b451bdba003Telegram imagee7c0e981f81447892995d01ed986c0b462a6f0c5Telegram Channelt[.]me/yoba_fanclubDNSdns[.]google/resolve?name=calm-piano-floats-313.dedyn[.]io&type=TXTITW URLfiles.catbox[.]moe/z5zpy9.datEncrypted Payload7467b6980440ec27c4e0a8d940672c9f24e14216Payload XMRIGea16728f6928dc77deaddee74a6e736dd5f24fc5XMRIG Endpoints3zciedc3enu4muwc5adxciyk6u3juhvhvbv6bfrk2arawlvb7k7ovxad[.]onion:443 51.89.228[.]250:21668 51.89.231[.]85:24526 Yara Rules rule yoba_dropper { meta: author = "@Tera0017/Check Point Research" description = "YobaDropper" strings: $code1 = {00 BB 40 0D 03 00 B9 7C 15 00 00 FF D6 31 C0} $code2 = {BA 05 15 00 00 0F BE 08 84 C9 74 0A 6B D2 21} $code3 = {53 B9 75 EE 40 70 48 83 EC 20} $code4 = {BA 5C CD 17 E5 48 89 C1 E8 73 00 00 00} $code5 = {0F C8 89 C0 4? 39 ?? 74 1? (49 0F AF C0| 48 69 C0 ?? ?? ?? ??) (4C 01 C8| 48 05 ?? ?? ?? ??) 49 89 C? 49 C1 E? 18 45 30 [2] 4? FF ?? EB} condition: uint16(0) == 0x5A4D and 2 of them } rule yoba_loader { meta: author = "@Tera0017/Check Point Research" description = "YobaLoader" strings: $code1 = {B9 80 A8 12 01 FF ?? ?? E9} $code2 = {BA EB 1D 00 00 0F BE 08 84 C9 74 0A 6B D2 21} $code3 = {B9 5B 80 EF B7 E8} $code4 = {BA F5 8B 2E F2 48 89 C1} $code5 = {B5 C2 D2 06 23 D4 E6 64 7D 06 A4 28 64 ED D8 62 9F 82 C5 C3 84 B2 43 FD AE EE CA 24 B3 87 3D 64} $code6 = {1D 0D 13 68 B4 D5 3F 3A 63 22 CF 40 E8 4E 63 DB} $code7 = {40 80 FE 32 74 42 40 80 FE 33 74 66 40 80 FE 31} $code8 = {41 81 F8 A5 DE 6C C2} condition: uint16(0) == 0x5A4D and 2 of them } The post Tricks from the Past deployed via signed ChatGPT and Claude binaries appeared first on Check Point Research .
research.checkpoint.comOct 27, 2026extracted
China-Linked GopherWhisper Infects 12 Mongolian Government Systems with Go Backdoors
Mongolian governmental institutions have emerged as the target of a previously undocumented China-aligned advanced persistent threat (APT) group tracked as GopherWhisper. "The group wields a wide array of tools mostly written in Go, using injectors and loaders to deploy and execute various backdoors in its arsenal," Slovakian cybersecurity company ESET said in a report shared with The Hacker News. "GopherWhisper abuses legitimate services, notably Discord, Slack, Microsoft 365 Outlook, and file.io for command-and-control (C&C) communication and exfiltration." The group was first discovered in January 2025 following the discovery of a never-before-seen backdoor codenamed LaxGopher on a system belonging to a Mongolian governmental entity. GopherWhisper is assessed to be active at least since November 2023. Besides LaxGopher, some of the other malware families part of the threat actor's arsenal are Golang-based tools to receive instructions from the C&C server, execute them, and send the results back. Also used by the threat actor is a file collection tool to gather files of interest and exfiltrate them in compressed format to the file[.]io file sharing service and a C++ backdoor that offers remote control over compromised hosts. Telemetry data from ESET shows that about 12 systems associated with the Mongolian governmental institution were infected by the backdoors, with C&C traffic from the attacker-controlled Discord and Slack servers indicating dozens of other victims. Exactly how GopherWhisper obtains initial access to the target networks is currently not known. But a successful foothold is followed by attempts to deploy a wide range of tools and implants - JabGopher, an injector that executes the LaxGopher ("whisper.dll") backdoor. LaxGopher, a Go-based backdoor that uses Slack for C2 to execute commands via "cmd.exe" and publish the results back to the Slack channel, as well as download additional malware. CompactGopher, a Go-based file collection utility dropped by LaxGopher to filter files of interest by extensions (.doc, .docx, .jpg, .xls, .xlsx, .txt, .pdf, .ppt, and .pptx.), compress them into ZIP files, encrypt the archives using AES-CFB-128, and exfiltrate them to file[.]io. RatGopher, a Go-based backdoor that uses a private Discord server to receive C&C messages, execute commands, and publish the results back to the configured Discord channel, as well as upload and download files from file[.]io. SSLORDoor, a C++-based backdoor that uses OpenSSL BIO for communication via raw sockets on port 443 to enumerate drives, perform file operations, and run commands based on C&C input via "cmd.exe." FriendDelivery, a malicious DLL that serves as a loader and injector for BoxOfFriends. BoxOfFriends, a Go-based backdoor that uses the Microsoft Graph API to craft draft emails for C2 using hard-coded credentials, with the earliest Outlook account created for this purpose ("barrantaya.1010@outlook[.]com") created on July 11, 2024. "Timestamp inspection of the Slack and Discord messages showed us that the bulk of them were being sent during working hours, i.e., between 8 a.m. and 5 p.m., which aligns with China Standard Time," ESET researcher Eric Howard said. "Furthermore, the locale for the configured user in Slack metadata was also set to this time zone. We therefore believe that GopherWhisper is a China-aligned group."
thehackernews.comApr 23, 2026extracted
GopherWhisper APT group hides command and control traffic in Slack and Discord
GopherWhisper APT group hides command and control traffic in Slack and Discord Attackers continue to lean on everyday collaboration platforms to hide command and control traffic inside normal enterprise noise. A newly identified China-aligned APT group pushes that trend further, running its operations through Slack workspaces, Discord servers, Outlook drafts, and the file.io sharing service. GopherWhisper toolset overview ESET researchers have named the group GopherWhisper and tied it to an intrusion at a Mongolian governmental entity. The name draws on two elements: most of the group’s tooling is written in Go, whose mascot is a gopher, and one of its side-loaded components ships as whisper.dll. A toolset built mostly in Go GopherWhisper operates a set of custom loaders, injectors, and backdoors. The Go-based components include three backdoors, LaxGopher, RatGopher, and BoxOfFriends, along with the JabGopher injector, the CompactGopher exfiltration utility, and the FriendDelivery loader. A C++ backdoor called SSLORDoor rounds out the arsenal. Each backdoor pairs with a different legitimate service for command and control. LaxGopher pulls instructions from a private Slack workspace and posts results back to the same channel. RatGopher mirrors that design on Discord. BoxOfFriends takes a different route, using the Microsoft Graph API to exchange commands through Outlook draft messages. SSLORDoor communicates directly with the operators over an encrypted channel on port 443. The supporting tools handle the rest of the chain. JabGopher and FriendDelivery load the backdoors into memory, and CompactGopher packages selected files and ships them out through the file.io sharing service. Operator messages pulled from Slack, Discord, and Outlook The group’s reliance on commercial platforms for C&C cut both ways. After recovering multiple Slack and Discord API tokens during analysis, ESET retrieved a large volume of operator traffic from those services. “During our investigation, we managed to extract thousands of Slack and Discord messages, as well as several draft email messages from Microsoft Outlook. This gave us great insight into the inner workings of the group,” said ESET researcher Eric Howard, who discovered the new threat group. The Slack channel tied to LaxGopher carried mostly disk and file enumeration commands. It also contained links to public GitHub repositories covering Go service installation, process injection on x86 and x64, and encryption and compression utilities. ESET assesses that operators consulted these repositories during development. RatGopher’s Discord channel held Go source code that appears to be an earlier iteration of the backdoor, along with output from enumeration runs on operator machines. One of those machines was a VMware virtual machine whose install and boot timestamps line up with UTC+8. Message timestamps from both Slack and Discord cluster between 8 a.m. and 5 p.m. UTC+8, matching China Standard Time. The configured user locale in Slack metadata pointed to the same zone, supporting the China-aligned attribution. Outlook drafts reveal an infrastructure timeline Extraction of Outlook content exposed operational housekeeping failures on the attacker side. The welcome email from Microsoft, sent when the mailbox was provisioned, remained in place. That message confirmed that the account barrantaya.1010@outlook[.]com was created on July 11, 2024. The FriendDelivery DLL that loads BoxOfFriends was compiled 11 days later, on July 22, 2024. Investigators also determined that the Slack and Discord servers began life as test environments for the backdoors, and were later pressed into service as live C&C channels for LaxGopher and RatGopher across multiple compromised systems. Logs from the testing phase were never cleared, giving defenders a longer window into the group’s development and deployment activity. ESET has published indicators of compromise in its GitHub repository. Guide: Breach and Attack Simulation & Automated Penetration Testing
helpnetsecurity.comApr 23, 2026extracted
Iran-Linked Hackers Breach FBI Director’s Personal Email, Hit Stryker With Wiper Attack
Threat actors with ties to Iran successfully broke into the personal email account of Kash Patel, the director of the U.S. Federal Bureau of Investigation (FBI), and leaked a cache of photos and other documents to the internet. Handala Hack Team, which carried out the breach, said on its website that Patel "will now find his name among the list of successfully hacked victims." In a statement shared with Reuters, the FBI confirmed Patel's emails had been targeted, and noted necessary steps have been taken to "mitigate potential risks associated with this activity." The agency also said the published data was "historical in nature and involves no government information." The leak includes emails from 2010 and 2019 allegedly sent by Patel. Handala Hack is assessed to be a pro-Iranian, pro-Palestinian hacktivist persona adopted by Iran's Ministry of Intelligence and Security (MOIS). It's tracked by the cybersecurity community under the monikers Banished Kitten, Cobalt Mystique, Red Sandstorm, and Void Manticore, with the group also operating another persona called Homeland Justice to target Albanian entities since mid-2022. A third persona linked to the MOIS-affiliated adversary is Karma, which is said to have been likely completely replaced by Handala Hack since late 2023. Data gathered by StealthMole has revealed that Handala's online presence extends beyond messaging platforms and cybercrime forums like BreachForums to publicize its activities, maintaining a layered infrastructure that includes surface web domains, Tor-hosted services, and external file-hosting platforms such as MEGA. "Handala has consistently targeted IT and service providers in an effort to obtain credentials, relying largely on compromised VPN accounts for initial access," Check Point said in a report published this month. "Throughout the last months, we identified hundreds of logon and brute-force attempts against organizational VPN infrastructure linked to Handala-associated infrastructure." Attacks mounted by the proxy group are known to leverage RDP for lateral movement and initiate destructive operations by dropping wiper malware families such as Handala Wiper and Handala PowerShell Wiper via Group Policy logon scripts. Also used are legitimate disk encryption utilities like VeraCrypt to complicate recovery efforts. "Unlike financially motivated cybercriminal groups, Handala-associated activity has historically emphasized disruption, psychological impact, and geopolitical signaling," Flashpoint said. "Operations attributed to the persona frequently align with periods of heightened geopolitical tension and often target organizations with symbolic or strategic value." The development comes against the backdrop of the U.S.-Israel-Iran conflict, prompting Iran to go on a retaliatory cyber offensive against Western targets. Notably, Handala Hack claimed credit for crippling the networks of medical devices and services provider Stryker by deleting a huge trove of company data and wiping thousands of employee devices. The attack is the first confirmed destructive wiper operation targeting a U.S. Fortune 500 company. In an update issued on its website this week, Stryker said "the incident is contained," adding it "reacted quickly to not only regain access but to remove the unauthorized party from our environment" by dismantling the persistence mechanisms installed. The breach, it stated, was confined to its internal Microsoft environment. The threat actors have been found to use a malicious file to run commands that allowed them to conceal their actions. However, the file does not possess any capabilities to spread across the network, Stryker pointed out. Palo Alto Networks Unit 42 said the primary vector for recent destructive operations from Handala Hack likely involves the "exploitation of identity through phishing and administrative access through Microsoft Intune." Hudson Rock has found evidence that compromised credentials associated with Microsoft infrastructure obtained via infostealer malware may have been used to pull off the hack. In the wake of the breach, both Microsoft and the Cybersecurity and Infrastructure Security Agency (CISA) have released guidance on hardening Windows domains and fortifying Intune to defend against similar attacks. This includes using the principle of least privilege, enforcing phishing-resistant multi-factor authentication (MFA), and enabling multi-admin approval in Intune for sensitive changes. Flashpoint has characterized the attack on Stryker as a dangerous shift in supply chain threats, as state-linked cyber activity targeting critical suppliers and logistics providers can have cascading impacts across the entire healthcare ecosystem. DoJ Takes Down Pro-Iranian Hacker Domains Handala Hack's leak of Patel's personal emails comes in response to a court-authorized operation that led to the seizure of four domains operated by MOIS since 2022 as part of an effort to disrupt its malicious activities in cyberspace. The U.S. government is also offering a $10 million reward for information on members of the group. The names of the seized domains are listed below - justicehomeland[.]org handala-hack[.]to karmabelow80[.]org handala-redwanted[.]to "The seized domains [...] were used by the MOIS in furtherance of attempted psychological operations targeting adversaries of the regime by claiming credit for hacking activity, posting sensitive data stolen during such hacks, and calling for the killing of journalists, regime dissidents, and Israeli persons," the U.S. Department of Justice (DoJ) said. This included the names and sensitive information of about 190 individuals associated with or employed by the Israeli Defense Force (IDF) and/or Israeli government, and 851 GB of confidential data from members of the Sanzer Hasidic Jewish community. In addition, an email address linked to the group ("handala_team@outlook[.]com") is alleged to have been used to send death threats to Iranian dissidents and journalists living in the U.S. and elsewhere. In a separate advisory, the FBI revealed that Handala Hack and other MOIS cyber actors have employed social engineering tactics to engage with prospective victims on social messaging applications to deliver Windows malware capable of enabling persistent remote access using a Telegram bot by masquerading the first-stage payload as commonly used programs like Pictory, KeePass, Telegram, or WhatsApp. Using Telegram (or other legitimate services) as C2 is a common tactic by threat actors to hide malicious activity among normal network traffic, and significantly reduce the likelihood of detection. Related malware artifacts found on compromised devices have revealed added capabilities to record audio and screen while a Zoom session was active. The attacks have targeted dissidents, opposition groups, and journalists, per the FBI. "MOIS cyber actors are responsible for using Telegram as a command-and-control (C2) infrastructure to push malware targeting Iranian dissidents, journalists opposed to Iran, and other opposition groups around the world," the bureau said. "This malware resulted in intelligence collection, data leaks, and reputational harm against the targeted parties." Handala Hack has since resurfaced on a different clearnet domain, "handala-team[.]to," where it described the domain seizures as "desperate attempts by the United States and its allies to silence the voice of Handala." The ongoing conflict has also prompted fresh warnings that it risks turning critical infrastructure sector operators into lucrative targets, even as it has triggered a surge in DDoS attacks, website defacements, and hack-and-leak operations against Israel and Western organizations. Hacktivists entities have also engaged in psychological warfare and influence operations with an aim to sow fear and confusion among the targeted populations. In recent weeks, the energy sector in the Middle East has drawn the attention of a relatively new cybercriminal group called Nasir Security. The group, instead of directly targeting energy companies, has gone after their contractors and third-parties to leak internal data, leading to "incorrect assumptions" about the origin of hacks. "The group is attacking supply chain vendors involved in engineering, safety, and construction," Resecurity said. "The supply chain attacks attributed to Nasir Security are likely carried out by cyber-mercenaries or individuals hired or sponsored by Iran or its proxies." "The cyber activity tied to this conflict is becoming increasingly decentralized and destructive," Kathryn Raines, cyber threat intelligence team lead for the National Security Solutions at Flashpoint, said in a statement. "Groups like Handala and Fatimion are targeting private-sector organizations with attacks designed to erase data, disrupt services, and introduce uncertainty for both businesses and the public. At the same time, we're seeing a greater use of legitimate administrative tools in these cyber operations, making it significantly harder for traditional security controls to detect." That's not all. MOIS-linked actors have been increasingly engaging with the cybercrime ecosystem to support its objectives and provide a cover for its malicious activity. This includes Handala's integration of Rhadamanthys stealer into its operations and MuddyWater's use of the Tsundere botnet (aka Dindoor) and Fakeset, the latter of which is a downloader used to deliver CastleLoader. "Such engagement offers a dual advantage: it enhances operational capabilities through access to mature criminal tooling and resilient infrastructure, while complicating attribution and contributing to recurring confusion around Iranian threat activity," Check Point said. "The use of such tools has created significant confusion, leading to misattribution and flawed pivoting, and clustering together activities that are not necessarily related. This demonstrates that the use of criminal software can be effective for obfuscation, and highlights the need for extreme caution when analyzing overlapping clusters."
thehackernews.comMar 28, 2026extracted
APT28 Uses Microsoft Office CVE-2026-21509 in Espionage-Focused Malware Attacks
The Russia-linked state-sponsored threat actor known as APT28 (aka UAC-0001) has been attributed to attacks exploiting a newly disclosed security flaw in Microsoft Office as part of a campaign codenamed Operation Neusploit. Zscaler ThreatLabz said it observed the hacking group weaponizing the shortcoming on January 29, 2026, in attacks targeting users in Ukraine, Slovakia, and Romania, three days after Microsoft publicly disclosed the existence of the bug. The vulnerability in question is CVE-2026-21509 (CVSS score: 7.8), a security feature bypass in Microsoft Office that could allow an unauthorized attacker to send a specially crafted Office file and trigger it. The Microsoft Threat Intelligence Center (MSTIC), Microsoft Security Response Center (MSRC), and Office Product Group Security Team, along with Google Threat Intelligence Group (GTIG), have been credited with discovering and reporting the flaw. "Social engineering lures were crafted in both English and localized languages (Romanian, Slovak, and Ukrainian) to target the users in the respective countries," security researchers Sudeep Singh and Roy Tay said. "The threat actor employed server-side evasion techniques, responding with the malicious DLL only when requests originated from the targeted geographic region and included the correct User-Agent HTTP header." The attack chains, in a nutshell, entail the exploitation of the security hole by means of a malicious RTF file to deliver two different versions of a dropper, one that's designed to drop an Outlook email stealer called MiniDoor, and another, referred to as PixyNetLoader, that's responsible for the deployment of a COVENANT Grunt implant. The first dropper acts as a pathway for serving MiniDoor, a C++-based DLL file that steals a user's emails in various folders (Inbox, Junk, and Drafts) and forwards them to two hard-coded threat actor email addresses: ahmeclaw2002@outlook[.]com and ahmeclaw@proton[.]me. MiniDoor is assessed to be a stripped-down version of NotDoor (aka GONEPOSTAL), which was documented by S2 Grupo LAB52 in September 2025. In contrast, the second dropper, i.e., PixyNetLoader, is used to initiate a much more elaborate attack chain that involves delivering additional components embedded into it and setting up persistence on the host using COM object hijacking. Among the extracted payloads are a shellcode loader ("EhStoreShell.dll") and a PNG image ("SplashScreen.png"). The primary responsibility of the loader is to parse shellcode concealed using steganography within the image and execute it. That said, the loader only activates its malicious logic if the infected machine is not an analysis environment and when the host process that launched the DLL is "explorer.exe." The malware stays dormant if the conditions are not met. The extracted shellcode, ultimately, is used to load an embedded .NET assembly, which is nothing but a Grunt implant associated with the open source .NET COVENANT command-and-control (C2) framework. It's worth noting that APT28's use of the Grunt Stager was highlighted by Sekoia in September 2025 in connection with a campaign named Operation Phantom Net Voxel. "The PixyNetLoader infection chain shares notable overlap with Operation Phantom Net Voxel," Zscaler said. "Although the earlier campaign used a VBA macro, this activity replaces it with a DLL while retaining similar techniques, including (1) COM hijacking for execution, (2) DLL proxying, (3) XOR string encryption techniques, and (4) Covenant Grunt and its shellcode loader embedded in a PNG via steganography." The disclosure coincides with a report from the Computer Emergency Response Team of Ukraine (CERT-UA) that also warned of APT28's abuse of CVE-2026-21509 using Word documents to target more than 60 email addresses associated with central executive authorities in the country. Metadata analysis reveals that one of the lure documents was created on January 27, 2026. "During the investigation, it was found that opening the document using Microsoft Office leads to establishing a network connection to an external resource using the WebDAV protocol, followed by downloading a file with a shortcut file name containing program code designed to download and run an executable file," CERT-UA said. This, in turn, triggers an attack chain that's identical to PixyNetLoader, resulting in the deployment of the COVENANT framework's Grunt implant. Update In a new report published February 4, 2026, Trellix said it observed APT28 leveraging the Microsoft Office 1-day within 24 hours of its public revelation to target European military and government entities, particularly targeting maritime and transport organizations across Poland, Slovenia, Turkey, Greece, the U.A.E., and Ukraine. "This campaign features a multi-stage infection chain and novel payloads, including a simple initial loader, an Outlook VBA backdoor (NotDoor), and a custom C++ implant dubbed 'BEARDSHELL,'" researchers Pham Duy Phuc and Alex Lanstein said. "The threat actors abuse legitimate cloud storage (filen[.]io) as command-and-control (C2) infrastructure, blending malicious traffic with normal user activity." A variation of this exact attack chain was previously detailed by both the Computer Emergency Response Team of Ukraine (CERT-UA) and Sekoia last year. In these attacks, phishing emails with geopolitically-charged narratives related to transnational weapons smuggling, military training programs, and meteorological emergency bulletins contain weaponized documents that exploit CVE-2026-21509 as soon as they are opened, triggering the execution of malicious code without requiring macros or user interaction. This includes downloading a Microsoft Shortcut (LNK) and a DLL codenamed SimpleLoader that's responsible for either dropping NotDoor or the COVENANT Grunt Beacon that then contacts a filen[.]io endpoint to deliver the BEARDSHELL backdoor. "The entire chain is designed for resilience and evasion, utilizing encrypted payloads, legitimate cloud services for C2, in-memory execution, and process injection to minimize forensic artifacts," Trellix said. "This multi-layered approach demonstrates APT28's evolved tradecraft in maintaining persistent access while evading detection across enterprise environments." (The story was updated after publication on February 4, 2026, with insights from Trellix.)
thehackernews.comFeb 3, 2026extracted