Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects specific malicious processes (smdqservice.exe, winappx.exe) or suspicious paths associated with the CHOSEN BRICK malware suite writing image files (png, jpg, jpeg, bmp) to sensitive system directories. This activity typically precedes the exfiltration of sensitive desktop capture data to C2 infrastructure.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects anomalous activity where AI-enabled browser agents or extensions perform email summarization or access actions without corresponding user UI interaction, subsequently sending or sharing the information to an external recipient address distinct from the mailbox owner.
This rule detects file creation or modification events occurring within the 'ProgramData\ZlibDate' directory. This specific path and the associated file extensions (.Dat and .zip) are frequently associated with data staging activities or unauthorized file management by malicious software attempting to persist or exfiltrate data under the guise of legitimate application data.
This rule detects file creation or modification events occurring within the 'ProgramData\ZlibDate' directory. This specific path and the associated file extensions (.Dat and .zip) are frequently associated with data staging activities or unauthorized file management by malicious software attempting to persist or exfiltrate data under the guise of legitimate application data.
Detects Odyssey Stealer malware communicating with a known C2 infrastructure using TLS and performing data exfiltration via HTTP requests to raw-IP destinations using disguised file names such as analytics.gif, pixel.png, and content.js.
This rule detects potential automated cryptocurrency wallet draining activity by correlating the execution of known stealer processes (such as GapiUpdate or NeedleStealer) with subsequent outbound network connections to suspicious command-and-control domains or API endpoints within a 30-minute window.
This rule performs a hunting activity across multiple telemetry sources (Network, Email, Endpoint) to detect known indicators of compromise (IOCs) associated with Anthropic threat intelligence reporting (September 2026). It looks for specific malware file names, command-line patterns, service installations, phishing email addresses, and C2 communication URLs.
Detects the use of AI assistant command-line interfaces (such as Claude, GitHub Copilot, or Gemini) to execute git checkout commands with specific commit hashes or references like FETCH_HEAD. This behavior may indicate an attempt to use automated AI tooling to stage or interact with repository code, which could be part of an automated exfiltration or unauthorized code modification attempt.
Detects anomalous data exfiltration activity to Dropbox API, specifically utilizing a naming convention in the file path ('_lns/') often associated with Kimsuky threat actor tools. The rule monitors HTTP POST requests to content.dropboxapi.com with characteristic 'Dropbox-API-Arg' header values and TLS SNI indicators.
Detects network indicators associated with the StealC information stealer, including DNS lookups for identified C2 domains, HTTPS traffic to known C2 endpoints, and suspicious POST requests using multipart/form-data indicative of credential or session data exfiltration.
Detects network indicators associated with the StealC information stealer, including DNS lookups for identified C2 domains, HTTPS traffic to known C2 endpoints, and suspicious POST requests using multipart/form-data indicative of credential or session data exfiltration.
Detects network indicators associated with the StealC information stealer, including DNS lookups for identified C2 domains, HTTPS traffic to known C2 endpoints, and suspicious POST requests using multipart/form-data indicative of credential or session data exfiltration.
Detects instances where AI coding assistants or tools (e.g., Claude, Copilot, Gemini) invoke git.exe to clone or fetch repositories from non-standard (non-GitHub) hosts, followed by a checkout operation within a short timeframe. This behavior may indicate an attacker using automated tools to stage or exfiltrate sensitive code repositories to unauthorized infrastructure.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections originating from browser processes to known JeetBot command and control (C2) infrastructure. The rule identifies suspicious C2 communication and, specifically, attempts at token exfiltration by monitoring for auth tokens in the URL of requests directed to known JeetBot hosts and Twitch-related infrastructure.
Detects network connections originating from browser processes to known JeetBot command and control (C2) infrastructure. The rule identifies suspicious C2 communication and, specifically, attempts at token exfiltration by monitoring for auth tokens in the URL of requests directed to known JeetBot hosts and Twitch-related infrastructure.
This rule detects potential exfiltration of sensitive files, specifically 'cert.pem' and 'private.key', via HTTP POST requests to the '/api/adbk/upload' endpoint. This pattern is characteristic of the RatHat malware attempting to exfiltrate device credentials to a Command and Control (C2) server.
Detection of suspicious network traffic directed toward Slack APIs, characterized by the use of hardcoded Slack bot tokens and specific communication patterns associated with the 'indexed-btree' npm malware family, indicating potential C2 communication or data exfiltration.
Detects network traffic associated with the malicious npm package 'indexed-btree', which uses the Telegram Bot API to exfiltrate data. The rules monitor for connections to api.telegram.org via HTTPS and identify specific hardcoded bot tokens and chat IDs associated with the malicious campaign.
Detects high-frequency S3 object upload activity (PutObject/CompleteMultipartUpload) originating from the Rclone tool, a common indicator of potential data exfiltration to cloud storage.
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