Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
733 detections
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This rule detects GitHub Actions workflows that explicitly reference specific 'actions-cool' GitHub actions using a known-bad mutable version tag ('@v2.2.1'). This tag corresponds to malicious code introduced into these repositories, allowing for potential CI/CD pipeline poisoning and supply chain compromise.
Detects the use of specific malicious versions (v2.2.1) of GitHub Actions (actions-cool/issues-helper or actions-cool/maintain-one-comment) in workflow runs that also involve the exposure or referencing of the GITHUB_TOKEN, indicating potential credential theft and CI/CD pipeline compromise.
Detects the use of specific malicious versions (v2.2.1) of GitHub Actions (actions-cool/issues-helper or actions-cool/maintain-one-comment) in workflow runs that also involve the exposure or referencing of the GITHUB_TOKEN, indicating potential credential theft and CI/CD pipeline compromise.
Detects the use of specific malicious versions (v2.2.1) of GitHub Actions (actions-cool/issues-helper or actions-cool/maintain-one-comment) in workflow runs that also involve the exposure or referencing of the GITHUB_TOKEN, indicating potential credential theft and CI/CD pipeline compromise.
Detects the suspicious reactivation of 'actions-cool/issues-helper' or 'actions-cool/maintain-one-comment' repositories within a known malicious window (September 14-19, 2026). These repositories were involved in the 'Mini Shai-Hulud' supply-chain attack. This rule identifies when previously disabled repositories are re-enabled or modified to become active, potentially re-exposing malicious release tags to downstream users.
Detects the suspicious reactivation of 'actions-cool/issues-helper' or 'actions-cool/maintain-one-comment' repositories within a known malicious window (September 14-19, 2026). These repositories were involved in the 'Mini Shai-Hulud' supply-chain attack. This rule identifies when previously disabled repositories are re-enabled or modified to become active, potentially re-exposing malicious release tags to downstream users.
Detects the suspicious reactivation of 'actions-cool/issues-helper' or 'actions-cool/maintain-one-comment' repositories within a known malicious window (September 14-19, 2026). These repositories were involved in the 'Mini Shai-Hulud' supply-chain attack. This rule identifies when previously disabled repositories are re-enabled or modified to become active, potentially re-exposing malicious release tags to downstream users.
This rule detects the installation or presence of ten identified malicious npm packages associated with the indexed-btree/sorted-btree typosquatting campaign. It monitors command-line activity for 'npm install' commands, package name resolution, and entries within 'package.json' files.
Detects the creation of a Git branch where the branch name matches the pattern of a 40-character hexadecimal SHA-1 hash. This behavior is associated with the 'Plugin4Shell' technique, which exploits how some git implementations prioritize matching ref names over target commit objects, enabling an attacker to manipulate or swap code in automated systems or AI coding agents that rely on SHA-pinning.
This rule monitors for potential exploitation of AI supply chain vulnerabilities, specifically targeting AML.T0058 (Publish Poisoned Models). It identifies the download of suspicious model artifact files (e.g., .pt, .pkl, .h5, .onnx) via common tools like curl, wget, or pip, and detects the subsequent insecure deserialization of these files using Python's pickle library when dangerous opcodes (REDUCE/GLOBAL) are combined with system command execution primitives (os.system, subprocess).
This rule detects potential supply chain compromise by monitoring for the installation of pip or npm packages with names similar to popular AI/LLM frameworks (e.g., langchain, llamaindex, mastra, litellm). It then correlates these installations with subsequent suspicious activity, including potential beaconing to external IPs, execution of known crypto-miners, or access to sensitive local files (e.g., AWS credentials, SSH keys).
Detects the obfuscated first-stage JavaScript payload sharedLoad.min.js dropped by the malicious npm indexed-btree package, identified by string-array encoding and self-checksumming array rotation obfuscation patterns
Detects the indexed-btree npm malware loader embedded in BTree.prototype.set that spawns a detached hidden Node.js child process and references sharedLoad.min.js
Detects the indexed-btree npm malware loader embedded in BTree.prototype.set that spawns a detached hidden Node.js child process and references sharedLoad.min.js
Detects the execution of npm commands to install specific, potentially malicious or typo-squatted npm packages. The rule filters for common npm install command line arguments and matches against a predefined list of package names that are often associated with supply chain compromise attempts.
Detects the execution of npm commands to install specific, potentially malicious or typo-squatted npm packages. The rule filters for common npm install command line arguments and matches against a predefined list of package names that are often associated with supply chain compromise attempts.
This rule detects the use of 'npm' or 'node' to install packages from a registry other than trusted, standard registries (e.g., npmjs.org, GitHub). It specifically monitors command lines involving 'claude-code' that utilize custom, non-standard registry URLs. This behavior is indicative of potential supply chain attacks or the installation of unauthorized/malicious dependencies.
Detects BeaverTail JavaScript-based loader malware hidden inside NPM packages, distributed via GitHub or Bitbucket during fake technical interviews
Detects modifications or creation of GitHub Actions workflow files containing references to Model Context Protocol (MCP) extensions or AI-related build tools. This monitors for indicators of potential software supply chain tampering, where an adversary injects unauthorized CI/CD pipeline steps for malicious execution.
Detects the creation of a Git branch where the branch name matches the pattern of a 40-character hexadecimal SHA-1 hash. This behavior is associated with the 'Plugin4Shell' technique, which exploits how some git implementations prioritize matching ref names over target commit objects, enabling an attacker to manipulate or swap code in automated systems or AI coding agents that rely on SHA-pinning.
This rule detects potential CI/CD security compromises in GitHub by monitoring for modifications to workflow permissions that grant 'write-all' access, access to sensitive workflow secrets via 'pull_request_target' from forked repositories, and the registration of new self-hosted runners. These actions are common indicators of supply chain attacks aimed at poisoning pipeline execution or exfiltrating build secrets.
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