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MariaDB Server Audit Plugin Comment Handling Bypass
MariaDB Server Audit Plugin Comment Handling Bypass Bulletin ID: 2026-006-AWS Scope: AWS Content Type: Informational Publication Date: 03/03/2026 10:15 AM PST Description: Amazon RDS/Aurora is a managed relational database service. We identified CVE-2026-3494. In MariaDB server version through 11.8.5, when server audit plugin is enabled with server_audit_events variable configured with QUERY_DCL, QUERY_DDL, or QUERY_DML filtering, if an authenticated database user invokes a SQL statement prefixed with double-hyphen (—) or hash (#) style comments, the statement is not logged. Impacted versions: MariaDB Server (10.6.24 and prior, 10.11.15 and prior, 11.4.9 and prior, and 11.8.5 and prior) Amazon Aurora MySQL (2.12.5 and prior, 3.01.0 to 3.04.5, 3.05.1 to 3.10.2, and 3.11.0) Amazon RDS for MySQL (5.7.44-RDS.20251212 and prior, 8.0.11 to 8.0.44, and 8.4.3 to 8.4.7) Amazon RDS for MariaDB (10.6.24 and prior, 10.11.4 to 10.11.15, 11.4.3 to 11.4.9, and 11.8.3 to 11.8.5) Resolution: This issue has been addressed in the following versions: Amazon Aurora MySQL (2.12.6, 3.04.6, 3.10.3, and 3.11.1) Amazon RDS for MySQL (5.7.44-RDS.20260212, 8.0.45, and 8.4.8) Amazon RDS for MariaDB (10.6.25, 10.11.16, 11.4.10, and 11.8.6) We recommend upgrading to the latest version and ensuring any forked or derivative code is patched to incorporate the new fixes. Workarounds: There are no known workarounds. Reference: Please email [email protected] with any security questions or concerns.
aws.amazon.comAug 20, 2026extracted
Trivy vulnerability scanner breach pushed infostealer via GitHub Actions
The Trivy vulnerability scanner was compromised in a supply-chain attack by threat actors known as TeamPCP, which distributed credential-stealing malware through official releases and GitHub Actions. Trivy is a popular security scanner that helps identify vulnerabilities, misconfigurations, and exposed secrets across containers, Kubernetes environments, code repositories, and cloud infrastructure. Because developers and security teams commonly use it, it is a high-value target for attackers to steal sensitive authentication secrets. The breach was first disclosed by security researcher Paul McCarty, who warned that Trivy version 0.69.4 had been backdoored, with malicious container images and GitHub releases published to users. Further analysis by Socket and later by Wiz determined that the attack affected multiple GitHub Actions, compromising nearly all version tags of the trivy-action repository. Researchers found that threat actors compromised Trivy's GitHub build process, swapping the entrypoint.sh in GitHub Actions with a malicious version and publishing trojanized binaries in the Trivy v0.69.4 release, both of which acted as infostealers across the main scanner and related GitHub Actions, including trivy-action and setup-trivy. The attackers abused a compromised credential with write access to the repository, allowing them to publish malicious releases. These compromised credentials are from an earlier March breach, in which credentials were exfiltrated from Trivy's environment and not fully contained. The threat actor force-pushed 75 out of 76 tags in the aquasecurity/trivy-action repository, redirecting them to malicious commits. As a result, any external workflows using the affected tags automatically executed the malicious code before running legitimate Trivy scans, making the compromise difficult to detect. Socket reports that the infostealer collected reconnaissance data and scanned systems for a wide range of files and locations known to store credentials and authentication secrets, including: Reconnaissance data: hostname, whoami, uname, network configuration, and environment variables SSH: private and public keys and related configuration files Cloud and infrastructure configs: Git, AWS, GCP, Azure, Kubernetes, and Docker credentials Environment files: .env and related variants Database credentials: configuration files for PostgreSQL, MySQL/MariaDB, MongoDB, and Redis Credential files: including package manager and Vault-related authentication tokens CI/CD configurations: Terraform, Jenkins, GitLab CI, and similar files TLS private keys VPN configurations Webhooks: Slack and Discord tokens Shell history files System files: /etc/passwd, /etc/shadow, and authentication logs Cryptocurrency wallets The malicious script would also scan memory regions used by the GitHub Actions Runner.Worker process for the JSON string "" ":{ "value": " ", "isSecret":true}" to find additional authentication secrets. On developer machines, the trojanized Trivy binary performed similar data collection, gathering environment variables, scanning local files for credentials, and enumerating network interfaces. Collected data was encrypted and stored in an archive named tpcp.tar.gz, which was then exfiltrated to a typosquatted command-and-control server at scan.aquasecurtiy[.]org. If exfiltration failed, the malware created a public repository named tpcp-docs within the victim's GitHub account and uploaded the stolen data there. To persist on a compromised device, the malware would also drop a Python payload at ~/.config/systemd/user/sysmon.py and register it as a systemd service. This payload would check a remote server for additional payloads to drop, giving the threat actor persistent access to the device. The attack is believed to be linked to a threat actor known as TeamPCP, as one of the infostealer payloads used in the attack has a "TeamPCP Cloud stealer" comment as the last line of the Python script. "The malware self-identifies as TeamPCP Cloud stealer in a Python comment on the final line of the embedded filesystem credential harvester. TeamPCP, also tracked as DeadCatx3, PCPcat, and ShellForce, is a documented cloud-native threat actor known for exploiting misconfigured Docker APIs, Kubernetes clusters, Ray dashboards, and Redis servers," explains Socket. Aqua Security confirmed the incident, stating that a threat actor used compromised credentials from the earlier incident that was not properly contained. "This was a follow up from the recent incident (2026-03-01) which exfiltrated credentials. Our containment of the first incident was incomplete," explained Aqua Security. "We rotated secrets and tokens, but the process wasn't atomic and attackers may have been privy to refreshed tokens." The malicious Trivy release (v0.69.4) was live for approximately three hours, with compromised GitHub Actions tags remaining active for up to 12 hours. The attackers also tampered with the project’s repository, deleting Aqua Security’s initial disclosure of the earlier March incident. Organizations that used affected versions during the incident should treat their environments as fully compromised. This includes rotating all secrets, such as cloud credentials, SSH keys, API tokens, and database passwords, and analyzing systems for additional compromise. Follow-up attack spreads CanisterWorm via npm Researchers at Aikido have also linked the same threat actor to a follow-up campaign involving a new self-propagating worm named "CanisterWorm," which targets npm packages. The worm compromises packages, installs a persistent backdoor via a systemd user service, and then uses stolen npm tokens to publish malicious updates to other packages. "Self-propagating worm. deploy.js takes npm tokens, resolves usernames, enumerates all publishable packages, bumps patch versions, and publishes the payload across the entire scope. 28 packages in under 60 seconds," highlights Aikido. The malware uses a decentralized command-and-control mechanism using Internet Computer (ICP) canisters, which act as a dead-drop resolver that provides URLs for additional payloads. Using ICP canisters makes the operation more resistant to takedown, as only the canister's controller can remove it, and any attempt to stop it would require a governance proposal and network vote. The worm also includes functionality to harvest npm authentication tokens from configuration files and environment variables, enabling it to spread across developer environments and CI/CD pipelines. At the time of analysis, some of the secondary payload infrastructure was inactive or configured with harmless content, but the researchers say this could change at any time. 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.comMar 21, 2026extracted
$320,000 Paid Out at Zeroday.Cloud for Open Source Software Exploits
Researchers earned a total of $320,000 at the Zeroday.Cloud live hacking competition organized this week in London by cloud security giant Wiz. Wiz teamed up with AWS, Google Cloud, and Microsoft for Zeroday.Cloud, which had a total prize pool of $4.5 million for vulnerabilities in core cloud and AI technologies. Participants were invited to demonstrate exploits across six categories, including AI, Kubernetes and cloud native, containers and virtualization, web server, DevOps and automation, and database. Rewards ranging between $10,000 and $300,000 have been offered. The white hat hackers who took part in the event earned a total of $320,000 for 11 exploits targeting various open source technologies. On the first day of Zeroday.Cloud, researchers were awarded a total of $200,000. The biggest single payout was $40,000 for a Linux kernel exploit. Researchers earned $30,000 each for five database system exploits: three targeting Redis and two aimed at PostgreSQL. An authenticated remote code execution exploit targeting the Grafana observability platform earned a team $10,000. On the second day, participants earned a total of $120,000. Three different targets were successfully compromised for $30,000 each: PostgreSQL, MariaDB, and Redis. Redis was exploited a second time, bringing its total reward for the day to $60,000. Researchers also attempted to demonstrate exploits for the vLLM and Ollama LLM tools, but their attempts were unsuccessful within the allotted timeframe. Related: Trump Signs Executive Order to Block State AI Regulations Related: Google Patches Gemini Enterprise Vulnerability Exposing Corporate Data Related: Google Fortifies Chrome Agentic AI Against Indirect Prompt Injection Attacks Related: Vulnerability in OpenAI Coding Agent Could Facilitate Attacks on Developers
securityweek.comDec 12, 2025extracted
sqlmap: Open-source SQL injection and database takeover tool
sqlmap: Open-source SQL injection and database takeover tool Finding and exploiting SQL injection vulnerabilities is one of the oldest and most common steps in web application testing. sqlmap streamlines this process. It is an open-source penetration testing tool that automates the detection and exploitation of SQL injection flaws and can take over database servers when configured to do so. What makes sqlmap valuable is its automation. Instead of manually crafting and testing payloads, the tool does the work of identifying injection points, determining the type of database in use, and running a range of exploitation techniques. For testers working across many targets, that speed and consistency make a difference. How sqlmap works sqlmap uses a detection engine that supports several types of SQL injection: boolean-based blind, time-based blind, error-based, UNION query-based, stacked queries, and out-of-band. Once it identifies a vulnerability, it can fingerprint the database, extract data, and even execute commands on the underlying operating system, depending on the level of access available. The tool can enumerate users, password hashes, roles, and privileges. It can identify database structures, search for particular tables or columns, and dump selected data ranges. Testers can focus on specific tables or strings, such as names or passwords, to locate sensitive credentials. Broad database support One of sqlmap’s strengths is its wide compatibility. It supports nearly every major database management system, including MySQL, Oracle, PostgreSQL, Microsoft SQL Server, Microsoft Access, IBM DB2, SQLite, Firebird, and SAP MaxDB. It also works with newer or niche platforms such as MariaDB, TiDB, CockroachDB, Vertica, OpenGauss, and ClickHouse. This range means testers can apply a single workflow across diverse environments. Whether the target is a traditional relational database or a distributed system, sqlmap can adapt its methods to match the DBMS in use. From database to operating system When sqlmap exploits an injection, it can often go beyond the database itself. If the target runs MySQL, PostgreSQL, or Microsoft SQL Server, the tool can access the file system directly. It allows users to upload or download files from the underlying operating system, a useful capability when testing post-exploitation scenarios. The same applies to command execution. sqlmap can run system commands and retrieve their output, offering testers a way to understand how deep their access goes. For advanced cases, it can open an out-of-band TCP connection between the testing machine and the target. Through this channel, users can spawn an interactive shell, a Meterpreter session, or even a VNC session for remote interaction. Integrating with other tools sqlmap also supports integration with Metasploit for privilege escalation. Using Metasploit’s Meterpreter getsystem command, a tester can attempt to elevate the database process’s privileges to gain higher-level access. This connection between tools highlights sqlmap’s flexibility within broader penetration testing workflows. For users who already have database credentials, sqlmap can connect directly without exploiting a vulnerability. This makes it useful not just for offensive testing but also for auditing and verifying database configurations. Testers can confirm which privileges exist and whether sensitive data is exposed. Why sqlmap remains a standard tool Despite the growth of automated scanners and cloud-based testing platforms, sqlmap remains a standard tool in many penetration testers’ toolkits. Its strength lies in combining automation with fine-grained control. Users can set switches to adjust behavior, control verbosity, or define exactly which data to extract. It supports both wide scanning and targeted analysis. A tester can run it across an entire application to locate vulnerable parameters, then narrow the focus to specific database tables or data ranges. The flexibility to shift between broad reconnaissance and precise exploitation is what keeps sqlmap relevant. sqlmap is available for free on GitHub. Must read: 35 open-source security tools to power your red team, SOC, and cloud security GitHub CISO on security strategy and collaborating with the open-source community Subscribe to the Help Net Security ad-free monthly newsletter to stay informed on the essential open-source cybersecurity tools. Subscribe here!
helpnetsecurity.comNov 10, 2025extracted
Zeroday Cloud hacking contest offers $4.5 million in bounties
A new hacking competition called Zeroday Cloud, focused on open-source cloud and AI tools, announced a total prize pool of $4.5 million in bug bounties for researchers that submit exploits for various targets. The contest is launched by the research arm of cloud security company Wiz in partnership with Google Cloud, AWS, and Microsoft, and is scheduled for December 10 and 11 at the Black Hat Europe conference in London, UK. Zeroday Cloud has six separate categories researchers can participate in, with bug bounties between $10,000 and $300,000: AI – Ollama ($25k), Vllm ($25k), Nvidia Container Toolkit ($40k) Kubernetes and Cloud-Native – Kubernetes API Server ($80k), Kubelet Server ($40k), Grafana ($10k auth RCE, $40k pre-auth RCE), Prometheus ($40k), Fluent Bit ($10k) Containers and Virtualization – Docker ($40 user-provided image, $60k arbitrary image), Containerd ($40 user-provided image, $60k arbitrary image), Linux Kernel ($30k container escape on Ubuntu) Web Servers – nginx ($300k), Apache Tomcat ($100k), Envoy ($50k), Caddy ($50k) Databases – Redis ($25k auth RCE, $100k pre-auth RCE), PostgreSQL ($20k auth RCE, $100k pre-auth RCE), MariaDB ($20k auth RCE, $100k pre-auth RCE) DevOps & Automation – Apache Airflow ($40k), Jenkins ($40k), GitLab CE ($40k) The rules of the competition say that submitted exploits should result in complete compromise of the target. Wiz explains that this means "a full Container/VM Escape for the Virtualization category, and a 0-click Remote Code Execution (RCE) vulnerability for other targets." The organizers also provide the conditions for each target, as well as the instructions and technical resources (Docker container with target on default configuration) security researchers can use to test their exploits. Researchers who register through the HackerOne platform and complete their ID verification and Tax Forms by November 20, are free to submit exploits for as many targets as they like, but they are limited to only one entry per target. Submitters of approved exploits will be invited to demonstrate them live during the event, either alone or in a team of up to five members. People residing in embargoed or sanctioned countries such as Russia, China, Iran, North Korea, Cuba, Sudan, Syria, Libya, Lebanon, and also the regions of Crimea and Donetsk, are restricted from participating in the Zeroday Cloud contest. The complete rules for the zeroday.cloud hacking competition are available here. The announcement for the event, however, did not resonate well with the organizers of the Pwn2Own hacking competitions that have been going with great success for several years. In a public post, Trend Micro called out Wiz for copying the rules for Pwn2Own Ireland. Juan Pablo Castro, Director of Cybersecurity Strategy & Technology at Trend Micro, said that Gemini's output when comparing the rules for the two events were a "word-for-word" copy. Wiz responded with a defusing statement, admitting that the Pwn2Own rulebook was "a trusted, mature framework by which we were inspired." 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.comOct 6, 2025extracted