Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,879 detections
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Detects the 'Credential Guard.exe' process (associated with AgtaBackup RAT) accessing sensitive browser files (Login Data, Cookies, History, Bookmarks) and subsequently exfiltrating data to a specific C2 endpoint.
Detects DNS queries attempting to resolve domains associated with malicious LLM-as-a-service platforms, specifically targeting domains containing 'wormgpt', 'fraudgpt', or 'evilgpt'. These platforms are often used by adversaries to facilitate automated social engineering, malware development, or other malicious activities.
Detects outbound HTTP traffic to punycode-encoded domains (typically used to spoof legitimate sites) that contain characteristic boilerplate text often generated by LLMs in their responses. This combination is indicative of an automated phishing kit setup or a landing page generated by an AI assistant.
Detects high-volume network activity from a single device/process to public IP addresses over common ports (80, 443) or UDP protocol. This behavior is indicative of potential command and control communication, automated data exfiltration, or a scanning attempt.
This rule detects the Kothamine dropper chain by correlating network connections or command-line activity fetching payloads from a specific GitHub repository ('cphc811-ui/new-tails') with the subsequent creation of associated malicious files (e.g., tailscale-related binaries, injector DLLs) on the same host within a one-hour window.
This rule detects the Kothamine dropper chain by correlating network connections or command-line activity fetching payloads from a specific GitHub repository ('cphc811-ui/new-tails') with the subsequent creation of associated malicious files (e.g., tailscale-related binaries, injector DLLs) on the same host within a one-hour window.
This rule detects the Kothamine dropper chain by correlating network connections or command-line activity fetching payloads from a specific GitHub repository ('cphc811-ui/new-tails') with the subsequent creation of associated malicious files (e.g., tailscale-related binaries, injector DLLs) on the same host within a one-hour window.
Detects the initialization and persistence of a 'tailcat.exe' process operating from a non-standard, user-profile directory, typically mimicking legitimate tools. The rule monitors for the specific 'forward' command-line argument containing port mapping strings, an immediate loopback connection to that port, and subsequent periodic external network keep-alive traffic originating from the same process or parent lineage, indicating a C2 tunnel setup.
Detects the initialization and persistence of a 'tailcat.exe' process operating from a non-standard, user-profile directory, typically mimicking legitimate tools. The rule monitors for the specific 'forward' command-line argument containing port mapping strings, an immediate loopback connection to that port, and subsequent periodic external network keep-alive traffic originating from the same process or parent lineage, indicating a C2 tunnel setup.
Detects the initialization and persistence of a 'tailcat.exe' process operating from a non-standard, user-profile directory, typically mimicking legitimate tools. The rule monitors for the specific 'forward' command-line argument containing port mapping strings, an immediate loopback connection to that port, and subsequent periodic external network keep-alive traffic originating from the same process or parent lineage, indicating a C2 tunnel setup.
Detects outbound network traffic exhibiting the default self-signed TLS certificate subject and issuer fields 'O=Cobalt Strike' combined with the known default JA3 fingerprint '72a589da586844d7f0818ce684948eea' associated with Cobalt Strike C2 communication.
Detects outbound HTTP POST requests characteristic of Emotet malware command-and-control beaconing. The rule identifies communication to an external network using a specific URI pattern (4-16 alphanumeric characters), a 'Content-Type: application/octet-stream' header, and a legacy Internet Explorer 7.0 User-Agent, while explicitly excluding common non-binary or HTML response formats in the request body.
Detects outbound network traffic matching Stratum protocol JSON-RPC methods (mining.subscribe, mining.authorize, mining.submit) typically used by XMRig and other cryptomining software to communicate with a mining pool. The rule monitors for established TCP connections on non-standard ports, excluding common web ports 80 and 443.
Detects specific JSON-RPC calls indicating C2 communication associated with the Graphalgo RAT. The rule identifies calls to the 'eth_call' method referencing specific function names like 'setCPubKey', 'serviceData', or a hardcoded Arbitrum Sepolia contract address used as a blockchain dead-drop mechanism.
Detects suspicious network connectivity where a newly executed process (that is not a browser or Slack) immediately establishes an outbound HTTPS connection to the Slack API. This behavior is indicative of potential malware implants or malicious scripts attempting to perform system reconnaissance and check-in to an attacker-controlled Slack workspace.
This rule detects network activity associated with the DarkMe RAT, specifically targeting outbound TCP connections or DNS resolutions involving known C2 domains by the rundll32.exe process. This activity is indicative of the malware's post-injection C2 registration and beaconing.
Detects network activity associated with the AMOS (Atomic macOS Stealer) malware, specifically identifying C2 communication patterns such as heartbeat beacons and agent tasking requests occurring over non-standard port 8133.
Detects host and browser fingerprinting reconnaissance behavior associated with the Macfinger/ClickFix infection chain. The rule identifies multiple disparate indicators (ClickFix tracker domain, ipinfo.io geolocation lookups, and known AMOS C2 IP contact) occurring on the same device within a 15-minute window, effectively reducing noise from isolated or benign network lookups.
Detects host and browser fingerprinting reconnaissance behavior associated with the Macfinger/ClickFix infection chain. The rule identifies multiple disparate indicators (ClickFix tracker domain, ipinfo.io geolocation lookups, and known AMOS C2 IP contact) occurring on the same device within a 15-minute window, effectively reducing noise from isolated or benign network lookups.
Detects host and browser fingerprinting reconnaissance behavior associated with the Macfinger/ClickFix infection chain. The rule identifies multiple disparate indicators (ClickFix tracker domain, ipinfo.io geolocation lookups, and known AMOS C2 IP contact) occurring on the same device within a 15-minute window, effectively reducing noise from isolated or benign network lookups.
This rule detects potentially malicious PowerShell, CMD, or PWSH command execution characterized by obfuscation techniques (such as Base64 encoding, decompression, or hidden command arguments) that are followed closely in time by network connections to public AI service domains (OpenAI, Anthropic, Google Generative Language, Mistral, Cohere). The detection correlates process-start events with outbound network requests from processes other than standard web browsers, suggesting potentially unauthorized use of AI APIs for exfiltration or automated processing of command results.
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