Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

733 detections

Detects the execution of package management commands (npm, pip, python) within directories or command-line arguments containing 'veltrix' or 'veltrix-capital', which may indicate the use of malicious dependencies or cloned repository lures.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects anomalous outbound network connections initiated by security and developer tooling (Trivy, Checkmarx, LiteLLM, Telnyx). This behavior is consistent with supply-chain attacks, such as those attributed to the UNC6780/TeamPCP threat group, where compromised tooling is leveraged to exfiltrate sensitive cloud credentials or API keys to external, non-vendor infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects instances where node.exe or npm processes spawn a Python interpreter. This behavior is indicative of malicious activity, specifically the execution of second-stage payloads such as the InvisibleFerret backdoor often associated with the BeaverTail JavaScript loader, observed in software supply chain compromise campaigns.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects npm package publication events specifically related to the @dforge-core/dforge-mcp library, including detection of OIDC-based trusted publishing mechanisms to identify potential supply chain compromise or unauthorized releases.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
Detects instances where a repository's GitHub CI/CD workflow, git configuration, or repository settings are modified, followed shortly thereafter by an npm package publish event. This behavior is indicative of a supply chain compromise where an adversary modifies workflow files to auto-publish malicious versions of a package.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
Detects malicious shell commands attempting to perform supply-chain persistence via environment variable manipulation in CI/CD environments. The rule identifies processes injecting BASH_ENV into GITHUB_ENV, a known technique used by the SCKIT supply-chain worm to perform credential harvesting during CI pipeline execution.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
102
Detects the execution of the 'sckit' Go implant, a malicious binary associated with trojanized '@memtensor/memos-cloud-openclaw-plugin' or 'MemoryOS' packages. The rule identifies instances where this binary is spawned as a child process of a language runtime (Node.js or Python) when the execution originates from specific directory paths associated with these packages, or when the parent process command line indicates these packages are being initialized.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects the execution of the 'sckit' Go implant, a malicious binary associated with trojanized '@memtensor/memos-cloud-openclaw-plugin' or 'MemoryOS' packages. The rule identifies instances where this binary is spawned as a child process of a language runtime (Node.js or Python) when the execution originates from specific directory paths associated with these packages, or when the parent process command line indicates these packages are being initialized.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects the creation of executable or script files (.py, .js, .mjs, .sh, .ps1) within hidden configuration directories associated with AI coding assistants and development tools (e.g., .claude, .vscode, .cursor). This activity may indicate an attempt to hijack development environments by dropping malicious scripts into locations that tools or developers might inadvertently execute or trust.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects malicious code within the BTree.prototype.set function designed to trigger a secondary payload (sharedLoad.min.js) at runtime. This behavior is intended to bypass npm install-script scanning by embedding the logic within legitimate-looking library code and using Node.js child_process spawns with hidden parameters to maintain persistence and execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
Detects the installation of specific known malicious NPM packages (indexed-btree, btree-core, mutex-forge) or execution of npm install commands targeting these packages, which are indicative of software supply chain compromise attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
204
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
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
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
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
004
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
004
Detects anomalous activity in a CI/CD environment where a runner process accesses sensitive credential files (such as PyPI tokens or GitHub secrets) followed closely by a network connection to public package registry domains, potentially indicating a supply-chain compromise where stolen credentials are used to publish malicious packages.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects package publishing or version creation events on npm or PyPI that originate from non-CI/CD service accounts, suggesting the use of stolen registry authentication tokens by unauthorized entities to push malicious package versions.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
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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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Monitors for the publication of specific NPM packages ('@dforge-core/dforge-mcp' or 'dforge-mcp') with a specific version ('0.2.21'). This rule is designed to track software supply chain activity related to this specific package and version.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
503
Detects high-frequency actions including code pushes, branch policy overrides, or workflow completions on the 'main' branch of the 'dforge-core/dforge-mcp' repository within a short time window (under 120 minutes). This may indicate automated interaction, potential rapid CI/CD activity, or unauthorized mass modification of the core repository.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
403
This rule monitors for the presence of a specific, known malicious package (@dforge-core/dforge-mcp version 0.2.21) being referenced in file paths, indicative of a software supply chain compromise or the distribution of malicious dependency artifacts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects outbound network traffic directed to Bitbucket (via TLS/443) or using the git protocol (via port 9418). Such connections from internal systems to unverified or unauthorized external Git repositories may indicate malicious activity, including the potential installation of malicious plugins or code via supply chain compromises (e.g., Plugin4Shell).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
006
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