Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects malicious shell commands or scripts (e.g., bash, powershell, curl, wget) embedded within HTTP POST request bodies that appear to be AI agent tool-call payloads. This activity is indicative of prompt injection or AI tool-use exploitation attempts designed to execute arbitrary code on the underlying host or container.
This rule detects potential automated subdomain enumeration by monitoring for a high volume of DNS queries (200 or more within 60 seconds) originating from a single host. Such behavior is characteristic of reconnaissance activities used to discover subdomains and map out network infrastructure.
This rule detects high-frequency HTTP 401 Unauthorized responses directed at API endpoints (specifically matching '/v1/') within a short window, which is indicative of an adversary attempting to brute-force or credential-stuff API keys.
Detects incoming HTTP POST requests to the Zimbra OnlyOffice document handler containing path traversal sequences (e.g., '..'). This pattern is indicative of an attempt to exploit CVE-2026-93643 by manipulating document save or callback paths to access unauthorized files on the server.
Detects attempts to exploit a buffer overflow vulnerability (CVE-2026-7273) in Zyxel GS1900 series switches. The rule monitors for oversized POST requests directed at CGI scripts on the device's web management interface.
Detects DNS queries with abnormally long subdomains matching patterns frequently used by Cobalt Strike DNS Beacons for command-and-control communications. The rule identifies hexadecimal or base32 encoded strings within subdomains that exceed 40 characters in length and occur frequently within a short time window.
Detects HTTP POST requests characteristic of TrickBot C2 beaconing. The rule identifies specific URI structures, Content-Type headers set to 'application/octet-stream', and unique request body behaviors that are indicative of TrickBot communication patterns.
This rule monitors for known string patterns associated with the initialization and command execution of the Metasploit Meterpreter reverse TCP payload. By inspecting network traffic for characteristic C2 handshake and command strings, it identifies active Meterpreter sessions.
Detects an Active Directory Certificate Services (AD CS) Certificate Enrollment Service (CES) SOAP request that includes a 'CertificateTemplate' item in the 'AdditionalContext' body, potentially indicating a directed attempt to request a specific certificate template during enrollment.
Detects outbound HTTP GET requests where the user agent is set to 'WebClient' and the URI ends in '.ps1'. This behavior is characteristic of PowerShell download cradles, which are often used by adversaries to fetch and execute remote malicious scripts directly into memory.
Detects anomalous HTTP POST requests to a suspected C2 endpoint ('/beacon/pre-register') on a typosquatted domain ('thecovnresation') characterized by an application/octet-stream content type, which is indicative of encrypted C2 beacon registration activity.
Detects incoming TLS traffic from an external network where the TLS server certificate's Subject Common Name (CN) field matches 'AsyncRAT Server'. This pattern is a known indicator of a beaconing session initiated by AsyncRAT remote access trojan servers.
This rule detects network traffic patterns associated with the Lumma Stealer malware performing endpoint fingerprinting. It monitors for GET requests to the URI path '/api/set_agent' which contains a 32-character hexadecimal string, characteristic of the malware's C2 communication.
This rule detects network traffic indicative of the RisePro malware communicating with its Command and Control (C2) infrastructure. It specifically looks for the 'clientsendfile' string within the payload, which acts as a keepalive signal or heartbeat for the RisePro implant.
Detects network traffic associated with the RisePro malware family, specifically identifying the use of 'serversendfile' commands, which indicates data exfiltration or file transfer activity via a command-and-control channel.
This rule detects outgoing HTTP POST requests to discord.com API webhooks, specifically containing patterns characteristic of XWorm malware, such as exfiltrating machine information identified by Username and IP fields.
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.
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