Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects outbound HTTP requests to the Telegram Bot API containing hardcoded bot tokens and chat IDs associated with the malicious 'indexed-btree' npm package campaign. This indicates active data exfiltration or command-and-control communication.
Detects anomalous high-volume file access or download activity in Microsoft 365 (SharePoint or OneDrive) by a single user within a 15-minute window, which may indicate bulk data exfiltration.
Detects anomalous high-volume file access or download activity in Microsoft 365 (SharePoint or OneDrive) by a single user within a 15-minute window, which may indicate bulk 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 outbound network traffic (HTTPS and TLS) directed at the specific S3-compatible object storage host 'ams1.vultrobjects.com'. This pattern is associated with 'HEAVYGRAM', a threat actor or toolkit using Vultr S3 buckets for potential data exfiltration.
This rule detects network connections to known command-and-control (C2) infrastructure associated with the KREMLIN browser extension. The extension exfiltrates browser data (cookies, sessionStorage, localStorage) by masquerading data transfer within requests to .css files hosted on the attacker-controlled domain 'luizestrelhashapr.online'.
Detects anomalous cloud authentication events occurring within a 3-hour window after suspected unauthorized access to sensitive configuration or credential files on a Vite development server. The rule flags sign-ins with high risk, anomalous location, or missing device compliance information, excluding trusted corporate locations and devices, serving as an indicator of potential post-exfiltration account takeover.
Detects high-volume, systematic API requests to AI inference endpoints from a single user ID, which may indicate automated model extraction or scraping attacks against AI services.
This rule detects anomalies in outbound network data transfer by comparing the current daily volume of data sent to external, non-private IP addresses against the historical average for those specific sources. It alerts when the daily volume exceeds 500MB and shows a significant spike (3x or more) compared to historical baseline data or when no historical data is available for a new source connection.
Detects HTTP traffic to the Telegram Bot API (/sendPhoto) originating from internal network hosts, which is indicative of potential exfiltration of captured images (e.g., screenshots or webcam captures) to an adversary-controlled Telegram channel.
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 outbound HTTP POST requests to the Telegram Bot API (/sendPhoto) that contain sensitive system information, including host credentials (port, login, password) and Shodan host data. This behavior is indicative of an information-stealing malware attempting to exfiltrate captured credentials via a Telegram bot.
Detects the use of PowerShell to perform recursive file/directory enumeration within sensitive user profile directories (Desktop, Documents, Downloads, Pictures, OneDrive) immediately followed by a network connection over port 443. This behavior is indicative of potential data staging and exfiltration activity performed by a malicious script or threat actor.
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
Detects outbound HTTP requests to api.telegram.org containing 'sendMessage' patterns in the URI and suspicious query parameters like 'VIEW' or 'MOBILE'. This behavior is characteristic of malicious scripts or applications using the Telegram Bot API as a command-and-control (C2) or exfiltration channel.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects the Comet browser process, typically associated with AI-agent operations, accessing sensitive browser profile files (e.g., History, Bookmarks, Login Data, Cookies) followed by outbound network communication within a 15-minute window, excluding known legitimate paths.
Detects the Comet browser process, typically associated with AI-agent operations, accessing sensitive browser profile files (e.g., History, Bookmarks, Login Data, Cookies) followed by outbound network communication within a 15-minute window, excluding known legitimate paths.
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.
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