Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the PUROSANGUE malware loader, which achieves execution by being sideloaded as 'vsdbg.dll' alongside a legitimate debugger executable. The detection leverages YARA rules focusing on specific artifacts such as a hardcoded build path, a custom Base16 alphabet, and a structural anomaly in the PE file's .reloc section compared to the declared base relocation directory size, alongside known malicious hash values.
Detects the execution of 'bun' during a Node.js package installation process (npm or node). This behavior can be indicative of a supply chain attack where malicious actors attempt to leverage alternative runtimes during the 'preinstall' phase or package installation to execute arbitrary code or bypass security controls typically associated with standard Node.js installations.
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
Detects Ruby processes executing with arguments explicitly disabling SSL/TLS verification (OpenSSL::SSL::VERIFY_NONE) while correlating with the presence of suspicious helper scripts ('loader.rb' or 'script.rb') within Ruby gem-related directories. This behavior is indicative of an adversary attempting to perform man-in-the-middle attacks or bypass security controls for outbound C2 communications.
Detects a suspicious sequence of Git operations ('fetch' followed by 'checkout') executed within a 5-minute window, where the initiating process is a known AI-assisted development tool (Claude, Codex, Copilot, or Gemini). This behavioral pattern may indicate an attempt to use AI tooling to facilitate the unauthorized access or exfiltration of code repositories.
Detects the use of chmod or chown commands to modify permissions or ownership of files associated with Acronis backup plugins within cPanel, WHM, or Plesk environments. This activity is indicative of potential unauthorized manipulation or exploitation of the backup configuration, such as that associated with CVE-2026-87886.
Detects Python scripts containing natural-language comments that narrate attack rationale, reasoning, or step-by-step intent. This behavior is a diagnostic signature of scripts generated or operated by AI agents, which tend to document their own processes in plain text comments, unlike human-written malicious code.
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects the presence of Atomic macOS Stealer (AMOS) binaries and their associated malicious behaviors. The rule identifies suspicious artifacts including password prompt requests using osascript to deceive users, attempts to access keychain and browser credential databases, and the use of curl piping to remote shell execution which is a common delivery vector for this malware family.
This rule identifies Linux devices with kernel versions that are vulnerable to CVE-2026-80844, CVE-2026-81000, CVE-2026-68121, and CVE-2026-74469. It parses the OSBuild field to extract kernel major, minor, and patch version numbers and compares them against known unpatched releases.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects the execution of s5cmd.exe with command line arguments indicative of data transfer operations (sync, cp, mv, run) to or from an 's3://' URI. s5cmd is a high-performance command-line tool frequently used for parallel S3 operations, which may be leveraged by adversaries for rapid data exfiltration or staging.
This rule detects a high volume of unique command executions within a short time window where the command lines contain patterns resembling developer or script comments (e.g., # or // followed by keywords like 'attempt', 'retry', 'diagnos'). The threshold-based logic (over 600 unique commands in less than 1 hour) combined with high-frequency retry attempts suggests automated or scripted activity, potentially indicative of automated exploitation frameworks, reconnaissance, or brute-force tools that include verbose logging or internal notes within the command execution.
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
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