Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
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.
This query identifies sensitivity-labeled files sent as email attachments to external recipients. The results provide details including the sender, recipient, file name, file path, and device where the file was observed.
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 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.
This rule detects potential credential exfiltration by the RatHat malware, which attempts to upload 'cert.pem' and 'private.key' files to a remote server using a POST request to '/api/adbk/upload'.
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-volume mailbox access (exceeding 50 items) performed by a specific API/Client ID pair associated with known mailbox exfiltration tools. This behavior is indicative of unauthorized automated data collection or harvesting from an Office 365 Exchange environment.
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
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 high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
This rule monitors Office 365 SharePoint file operations and search queries for patterns indicative of automated discovery and exfiltration of sensitive content. It specifically identifies high-frequency search queries involving wildcard parameters used in SharePoint content indexing, which may suggest an adversary is systematically crawling or enumerating organizational documents.
Detects the execution of s5cmd.exe with command line arguments indicative of data transfer operations (sync, cp, mv, run) to or from an 's3://' URI. s5cmd is a high-performance command-line tool frequently used for parallel S3 operations, which may be leveraged by adversaries for rapid data exfiltration or staging.
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