Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
Detects bulk uploads or downloads of AI/ML artifacts, such as model weights, datasets, and configuration files, to suspected personal or external cloud storage providers. This rule is designed to identify potential unauthorized exfiltration of proprietary AI/ML assets.
Detects adversarial attempts to poison Retrieval-Augmented Generation (RAG) knowledge bases. This includes the ingestion of documents containing prompt injection directives (e.g., 'ignore previous instructions'), hidden malicious markup intended to manipulate LLM inference, unauthenticated data ingestion, or abnormal volume spikes from a single source.
This rule detects PowerShell script execution that interacts with the GitHub API, specifically targeting the upload of files or JSON data to repository endpoints. The logic looks for commands related to file system access, inclusion of 'api.github.com', and references to 'SmartUploader' or 'uploaded_files.json'. It further filters for activity occurring within standard user directories and enforces a check to ensure the GitHub repository name matches the local hostname, which is a common indicator of automated exfiltration scripts.
This rule detects network upload operations (HTTP POST or similar requests ending in '/upload') to a specific external IP address (2.26.126.50). It specifically monitors for processes other than common web browsers, and filters for connections where significant data volume (greater than 10KB) is transferred or the data size is unknown.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects unauthorized or potentially malicious file transfer activity within ScreenConnect sessions. The rule flags file transfers occurring on vulnerable versions of ScreenConnect (prior to 26.6.5), transfers that bypass user confirmation prompts, or instances where files are transferred and subsequently executed.
Detects successful POST requests to the WordPress admin-ajax.php endpoint utilizing the 'wwlc_file_upload_handler' action with an empty referrer header. This pattern is characteristic of attackers attempting to upload malicious files via vulnerable WordPress plugins to establish web shell persistence.
Detects successful POST requests to the WordPress admin-ajax.php endpoint utilizing the 'wwlc_file_upload_handler' action with an empty referrer header. This pattern is characteristic of attackers attempting to upload malicious files via vulnerable WordPress plugins to establish web shell persistence.
Detects the publication of a known malicious version (0.2.21) of the '@dforge-core/dforge-mcp' npm package. This activity is attributed to the GHAPPIER/PolinRider supply chain campaign, which leverages hijacked OIDC trusted-publishing pipelines to distribute compromised code.
Detects anomalous activity in GitHub repositories where a code push by an actor is followed by an NPM package publish event from the same actor within a 105-minute window. This behavioral pattern is indicative of a potential compromised maintainer session or malicious code injection into the software supply chain.
This rule detects network upload operations (HTTP POST or similar requests ending in '/upload') to a specific external IP address (2.26.126.50). It specifically monitors for processes other than common web browsers, and filters for connections where significant data volume (greater than 10KB) is transferred or the data size is unknown.
This rule detects network upload operations (HTTP POST or similar requests ending in '/upload') to a specific external IP address (2.26.126.50). It specifically monitors for processes other than common web browsers, and filters for connections where significant data volume (greater than 10KB) is transferred or the data size is unknown.
Detects successful POST requests to the WordPress admin-ajax.php endpoint utilizing the 'wwlc_file_upload_handler' action with an empty referrer header. This pattern is characteristic of attackers attempting to upload malicious files via vulnerable WordPress plugins to establish web shell persistence.
Detects successful POST requests to the WordPress admin-ajax.php endpoint utilizing the 'wwlc_file_upload_handler' action with an empty referrer header. This pattern is characteristic of attackers attempting to upload malicious files via vulnerable WordPress plugins to establish web shell persistence.
Detects successful POST requests to the WordPress admin-ajax.php endpoint utilizing the 'wwlc_file_upload_handler' action with an empty referrer header. This pattern is characteristic of attackers attempting to upload malicious files via vulnerable WordPress plugins to establish web shell persistence.
Detects successful POST requests to the WordPress admin-ajax.php endpoint utilizing the 'wwlc_file_upload_handler' action with an empty referrer header. This pattern is characteristic of attackers attempting to upload malicious files via vulnerable WordPress plugins to establish web shell persistence.
Detects high-frequency S3 object upload activity (PutObject/CompleteMultipartUpload) originating from the Rclone tool, a common indicator of potential data exfiltration to cloud storage.
Detects the creation of a new AWS S3 bucket followed by a large volume of data uploads (more than 200 objects) within a 2-hour window. The detection focuses on activity attributed to a single identity with limited source IP diversity, which is highly indicative of scripted data staging and potential exfiltration preparation by an unauthorized actor.
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