Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential command-and-control (C2) communication associated with the Pikabot malware. The detection looks for outbound HTTP POST requests to external networks that lack a 'Content-Type' header and contain a non-empty, specifically sized request body, which are behavioral indicators consistent with Pikabot beaconing activity.
Detects HTTP GET requests originating from internal hosts to external destinations where the User-Agent string contains 'AutoIt'. This behavior is indicative of the DarkGate malware downloading additional payloads or components using AutoIt scripting capabilities.
Detects outbound HTTP POST requests to a specific URL pattern (/board/fckeditor/userfiles/editor/board.php) associated with the Chinotto backdoor used by the APT37 threat group. The rule monitors for a specific Chrome user agent and a 'token=' cookie value, indicating a potential C2 check-in.
Detects network activity associated with the Psychedelic Stealer malware, including C2 check-ins, API-based tasking, and communication with known C2 infrastructure using specific URI patterns and headers like 'X-API-Key'.
Detects HTTP traffic patterns associated with the Psychedelic Stealer malware command and control (C2) agent. The rule matches specific URI paths used for pinging, configuration retrieval, and tasking, while verifying the presence of the required 'X-API-Key' header, indicating established C2 communication.
Detects HTTP traffic patterns associated with the Psychedelic Stealer malware command and control (C2) agent. The rule matches specific URI paths used for pinging, configuration retrieval, and tasking, while verifying the presence of the required 'X-API-Key' header, indicating established C2 communication.
Detects outbound HTTP POST requests associated with the Psychedelic Stealer malware, which attempts to exfiltrate data from web browser-based cryptocurrency wallet extensions by targeting specific API endpoints and wallet extension IDs.
Detects malicious interactions with an unauthenticated Docker daemon API, specifically identifying the creation of privileged containers with host bind mounts, the deployment of containers with specific naming conventions for network reconnaissance (netns-probe/net-setup), subsequent container start events, and the use of the Docker exec API to perform host namespace escapes via nsenter.
Detects anomalous activity associated with the CARBONATO worm, specifically monitoring for unauthorized creation of 'net-setup' containers or pulling 'system/resolved' images via the Docker API port 2375. Additionally, the rule identifies rapid, sequential network scanning behavior targeting the Docker API port across internal IP ranges.
Detects unauthorized access attempts to a Docker Registry API on port 5000. The rule identifies attempts to enumerate the image catalog and extract sensitive environment variable information from configuration blobs, which may contain hardcoded credentials or indicators of compromise.
This rule detects network traffic originating from internal hosts directed to the Telegram API endpoint 'api.telegram.org' with a URI pattern associated with bot interaction, potentially indicating usage of a Telegram-based Command and Control (C2) mechanism by the CARBONATO/Hermes agent.
Detects network activity associated with the RatHat Android malware, specifically focusing on its use of WebSocket-based FRP (Fast Reverse Proxy) tunnels for command and control, session initialization, configuration retrieval, and local loopback proxy communication.
Detects network activity associated with the RatHat Android malware, specifically the exfiltration of accessibility tree data and calls to Google's Generative Language API (gemini-2.5-flash-lite) for UI target resolution and automation.
Detects outbound network traffic associated with the NeedyMantis actor, specifically identifying a hardcoded outdated Firefox/21.0 User-Agent in HTTP requests attempting to upgrade to a WebSocket connection, as well as direct TLS communication with the identified C2 domain corp.tripswithengine.com.
Detects HTTP traffic patterns associated with a custom 'RatHat' malware variant utilizing Google's Gemini API for command and control or remote automation. The rule identifies the initial POST request to the API with specific generation parameters (temperature 0.1, 256 tokens) and the corresponding JSON-formatted coordinate response from the server.
Detects HTTP traffic patterns associated with the VelvetCake malware used by North Korean threat actors Konni and Kimsuky. These signatures identify beaconing behavior to known free-hosting infrastructure, specifically monitoring for unique URL parameters ('OKey=', 'Who=', 'Areyou=cake') and common file naming conventions associated with the C2 communication.
Detects an attempt to bypass SharePoint authentication using a 'Register' directive in a POST request body directed at an .aspx page that is not a recognized ToolPane page. This pattern is indicative of an exploit attempt against a public-facing SharePoint server, specifically targeting vulnerability CVE-2026-65660.
Detects network communication to 'imageurlgenerator.com' where a VBScript downloader is attempting to retrieve a staged payload. The request pattern targets specific URI structures resembling GUID-based identifiers ending in '.txt', which is characteristic of the XHOPLESS malware delivery chain.
Detects HTTP requests containing potential session, handoff, or access tokens within the URI pattern commonly associated with ORAX Adversary-in-the-Middle (AiTM) phishing infrastructure. The rule specifically targets requests routed to wildcard subdomains that mimic legitimate deployment or service endpoints, indicating an attempt to harvest authentication tokens from victims.
This rule detects interaction between an internal host and the Vapi.ai API, typically used for automating AI-based voice phishing (vishing) calls. It identifies the initiation of a call via POST requests to the Vapi.ai API and subsequent callbacks from Vapi.ai to an attacker-controlled webhook endpoint used for tracking call status.
This rule set detects network communication patterns associated with the AnonyMousKIT phishing kit, specifically targeting the exfiltration of captured user credentials to the Telegram Bot API and communication with known phishing panel infrastructure. It monitors for DNS lookups of 'anomkit.shop', established TCP connections to the associated backend relay, and HTTP requests containing specific credential-related keywords directed towards the Telegram API.
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