Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

3,989 detections

Detects outbound HTTPS connections to major generative AI inference endpoints originating from non-browser, non-development tool processes at regular intervals. This activity is indicative of beaconing behavior, where malware (specifically families like LAMEHUG) leverages LLM APIs for dynamic command generation, payload obfuscation, or C2 instruction retrieval, bypassing traditional security controls.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects network connections from server or workload identities (excluding SYSTEM) to known public Generative-AI inference API domains. This may indicate the use of AI services for data exfiltration, automated content generation, or C2 communication via legitimate web services.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
404
This rule detects HTTP requests where the User-Agent header indicates a PowerShell execution occurring from a system configured with the zh-CN locale. This pattern is often associated with automated scripts or potential malicious activity masquerading as legitimate PowerShell traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects network activity (DNS, TLS, HTTP) associated with suspected C2 infrastructure hosted on Cloudflare Workers, specifically identifying patterns consistent with trojanized authentication pages acting as browser-based C2 relays or WebRTC/WebSocket signaling channels.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects two-stage communication pattern used by the Lorem Ipsum Loader. The first stage involves a GET request to a specific host acting as a dead-drop resolver to retrieve configuration. The second stage involves a POST request to an external destination containing a JPEG file header, characteristic of image-based C2 traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule detects DNS queries, TLS SNI, and HTTP requests to a list of known malicious domains associated with the STAC4924 threat activity, specifically linked to the TerminalFix or Lorem Ipsum Loader malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule performs a point-in-time IOC hunt within CommonSecurityLog data to detect indicators associated with NeedyMantis. It monitors for specific C2 infrastructure domains ('tripswithengine.com') and a hardcoded user-agent string ('Firefox/21.0') in proxy, firewall, or network logs, which are characteristic of this threat actor's activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects HTTP(S) requests to known SideCopy/ReverseRAT payload-delivery URLs identified in Operation SideCopy spear-phishing campaigns targeting Indian academia.
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Arnold Chan@slaz
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Hunters
1 month ago
007
Detects known file hashes associated with SideCopy/ReverseRAT.
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Arnold Chan@slaz
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Hunters
1 month ago
007
Detects known file hashes associated with SideCopy/ReverseRAT.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
1007
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
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Arnold Chan@slaz
Defender - KQL
1 month ago
003
Detects outbound HTTP requests from endpoints to a known C2 infrastructure associated with mobile device spyware. The rule identifies two specific stages: polling for new commands using a GET request and posting command execution results using a POST request, both targeting an MDM-mimicking API structure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects specific C2 communication patterns associated with SCKIT, including HTTPS beaconing to the skyleen.fr domain and structured URI patterns used for configuration and status requests.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
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Arnold Chan@slaz
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Hunters
1 month ago
003
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
003
Detects network connections, process command line arguments, and DNS queries associated with identified Galago or Panzer ransomware C2, leak site, or contact infrastructure (Tox IDs/Tor .onion addresses).
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Ankit Mehta@Secvyn
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Hunters
1 month ago
104
Detects potential manual paste-and-run execution patterns where a shell or interpreter is launched directly from Windows Explorer (e.g., via the Run dialog or manual clipboard paste), correlated with either command-line references to or outbound network connections towards Cloudflare Tunnel services (trycloudflare.com, workers.dev). The rule specifically identifies one-off execution events by excluding cases where explorer.exe spawns multiple child processes simultaneously, indicating non-routine shell behavior.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
This rule monitors for known malicious indicators, including a specific file hash, a C2 IP address, a remote URL associated with potential malicious activity (anydesk.exe), and a domain associated with C3Pool crypto-mining activity, across device processes, network events, and file operations.
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Arnold Chan@slaz
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Hunters
1 month ago
003
This rule monitors for known malicious indicators, including a specific file hash, a C2 IP address, a remote URL associated with potential malicious activity (anydesk.exe), and a domain associated with C3Pool crypto-mining activity, across device processes, network events, and file operations.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
Detects HTTP POST requests directed at common LLM API endpoints (chat completions, model beta) that contain patterns indicative of LLM prompt injection or malicious code generation requests, such as commands for code obfuscation or payload regeneration, specifically where the User-Agent does not match standard browser strings and the request body contains base64 encoded instructions.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects HTTP PUT/POST requests targeting external domains with URI patterns and filename structures characteristic of TheGentlemen ransomware group's data exfiltration activities. The rule monitors for large HTTP request payloads (>50KB) and suspicious TLS subject fields (e.g., presence of CN without an O field) associated with potential C2 communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
302
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