Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
565 detections
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Detects HTTP traffic related to the Macfinger/ClickFix campaign, where malicious injected scripts or dns-prefetch entries point to known attacker-controlled infrastructure (velvet-otter-glagceis.life) or assets utilized for social engineering and malicious copy-paste exploitation.
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 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.
Detects network activity associated with the NeedyMantis malware, including TLS SNI traffic to its hard-coded C2 domain, initial beaconing over HTTPS to specific paths, and potential exfiltration or reconnaissance markers in the server's Set-Cookie header response.
Detects network activity associated with the NeedyMantis malware, including TLS SNI traffic to its hard-coded C2 domain, initial beaconing over HTTPS to specific paths, and potential exfiltration or reconnaissance markers in the server's Set-Cookie header response.
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 responses containing script content indicative of anti-analysis or anti-debugging techniques, such as timing checks, debugger detection, and proof-of-work challenges commonly used on adversary-in-the-middle (AiTM) phishing landing pages.
Detects network activity associated with the FlowerStorm/Storm-1167 phishing campaign. The rule monitors for credential exfiltration to a specific malicious URI (e.g., /google.php) containing login parameters, as well as the delivery of spoofed Microsoft sign-in pages from the associated phishing infrastructure.
Detects potential AI-targeted cloaking, a technique where a web server serves different content to AI crawlers versus human users, identified by comparing HTTP response sizes or hashes across session logs. The rule uses Microsoft Sentinel's ASIM Web Session schema to correlate web requests, identifying discrepancies that suggest malicious or evasive intent. Covers T1036 & T1027
Detects potential AI-targeted cloaking, a technique where a web server serves different content to AI crawlers versus human users, identified by comparing HTTP response sizes or hashes across session logs. The rule uses Microsoft Sentinel's ASIM Web Session schema to correlate web requests, identifying discrepancies that suggest malicious or evasive intent. Covers T1036 & T1027
Detects network activity associated with the 'ClickFix' social engineering campaign, specifically targeting the 'Macfinger' variant. This involves detecting the fetching of obfuscated tracker JavaScripts (t.js), the delivery of deceptive 'Bot Protection' overlay HTML prompts used to trick users into executing malicious code, and network connections to known C2 infrastructure.
Detects network activity associated with the 'ClickFix' social engineering campaign, specifically targeting the 'Macfinger' variant. This involves detecting the fetching of obfuscated tracker JavaScripts (t.js), the delivery of deceptive 'Bot Protection' overlay HTML prompts used to trick users into executing malicious code, and network connections to known C2 infrastructure.
Detects a multi-stage attack pattern against publicly exposed AI service endpoints. The detection correlates: (1) Enumeration of sensitive AI/MCP-related API endpoints (minimum 3 distinct hits) in a 10-minute window; (2) Subsequent POST requests to AI service endpoints within 15 minutes of the enumeration; and (3) A spike of 5 or more server errors (HTTP 5xx) within 10 minutes following the POST activity. This pattern suggests automated reconnaissance followed by attempted exploitation of exposed AI model interfaces or orchestration services. Covers T1595.002, T1190
Detects a multi-stage attack pattern against publicly exposed AI service endpoints. The detection correlates: (1) Enumeration of sensitive AI/MCP-related API endpoints (minimum 3 distinct hits) in a 10-minute window; (2) Subsequent POST requests to AI service endpoints within 15 minutes of the enumeration; and (3) A spike of 5 or more server errors (HTTP 5xx) within 10 minutes following the POST activity. This pattern suggests automated reconnaissance followed by attempted exploitation of exposed AI model interfaces or orchestration services. Covers T1595.002, T1190
Detects HTTP responses containing a file named 'ClaudeDesktop.exe' served from paths containing '/artifacts/' on the 'claude.ai' host where the request referrer is not 'claude.ai' or 'anthropic.com', suggesting a malvertising or supply chain delivery attempt of a malicious installer.
This rule detects obfuscated JavaScript payloads characteristic of the Exvicy malware distribution framework (a successor to ErrTraffic) being served via compromised WordPress pages. The detection logic searches for specific obfuscation patterns and 'human verification' lures within HTTP response bodies on web proxies.
Detects HTTP connections between internal hosts and suspected C2 infrastructure associated with the Operation SilkParasite campaign. The rule specifically monitors for connections to known malicious IPs and identifies the retrieval of a cloned RTX Corporation homepage content, which acts as a decoy for the SpiceRAT malware.
Detects anomalous C2 traffic associated with SectopRAT that leverages JSON-RPC 'eth_call' methods on 'binance.org'. The detection monitors for a specific POST request pattern followed by a response containing 'START' and 'FINISH' markers within the result field, indicating command-and-control communication disguised as blockchain interactions.
Detects anomalous C2 traffic associated with SectopRAT that leverages JSON-RPC 'eth_call' methods on 'binance.org'. The detection monitors for a specific POST request pattern followed by a response containing 'START' and 'FINISH' markers within the result field, indicating command-and-control communication disguised as blockchain interactions.
Detects anomalous C2 traffic associated with SectopRAT that leverages JSON-RPC 'eth_call' methods on 'binance.org'. The detection monitors for a specific POST request pattern followed by a response containing 'START' and 'FINISH' markers within the result field, indicating command-and-control communication disguised as blockchain interactions.
Detects network activity associated with the ORAX control-plane panel and management service. The rule identifies HTTP traffic containing OraxManage or OraxRDP service strings, SignalR negotiate handshakes directed to common ORAX management ports, and connections to identified ORAX C2 infrastructure domains and IP addresses.
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