Detections

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

3,989 detections

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.
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Arnold Chan@slaz
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Hunters
1 month ago
001
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
This rule detects network communication (DNS queries and TLS connections) to known actor-controlled Slack workspace subdomains, as well as the presence of a specific hardcoded public key in Slack API traffic, suggesting the use of Slack as a Command and Control (C2) channel.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
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
Defender - KQL
1 month ago
001
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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Detection & Hunting Community
1 month ago
001
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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Hunters
1 month ago
001
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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Midnight Slayer
1 month ago
001
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
001
Detects file hash hits matching known malicious IOCs or network connections to suspicious domains/URLs.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
Detects the ClosedQuorum 'unhook' evasion technique where a process patches ntdll's EtwEventWrite to suppress ETW telemetry, occurring within a 5-minute window of the same process initiating outbound network connections to known LLM C2 provider APIs or Discord webhooks used for AI-arbitrated decision cycles.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects instances where a non-browser process initiates connections to commercial LLM provider APIs (DeepSeek, OpenRouter, Mistral) followed by a connection to Discord CDN/Webhook endpoints within a 15-minute window. This behavior is indicative of a process acting as an autonomous C2 agent that exfiltrates data after receiving instructions or processing information via an LLM.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects instances where a non-browser process initiates connections to commercial LLM provider APIs (DeepSeek, OpenRouter, Mistral) followed by a connection to Discord CDN/Webhook endpoints within a 15-minute window. This behavior is indicative of a process acting as an autonomous C2 agent that exfiltrates data after receiving instructions or processing information via an LLM.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects instances where a non-browser process initiates connections to commercial LLM provider APIs (DeepSeek, OpenRouter, Mistral) followed by a connection to Discord CDN/Webhook endpoints within a 15-minute window. This behavior is indicative of a process acting as an autonomous C2 agent that exfiltrates data after receiving instructions or processing information via an LLM.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects HTTP PUT requests that follow a specific pattern associated with MacSync Stealer's exfiltration mechanism. The rule identifies multipart data transmission by looking for specific URI parameters ('upload_id', 'chunk_index', 'total_chunks') used to piece together stolen ZIP files over an established HTTP connection.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects HTTP traffic originating from curl user agents attempting to communicate with known MacSync Stealer command-and-control URI patterns, specifically targeting GET check-in requests and POST payload exfiltration requests.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects a specific 4-byte handshake pattern ("\x11\x22\x33\x44") within the initial data of a TCP stream, identifying the C2 communication handshake of the SparroWocky backdoor associated with the FamousSparrow threat actor.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects a non-browser process initiating network connections to four distinct commercial LLM API providers (DeepSeek, OpenRouter, Mistral, and Google Gemini) within a 5-minute interval. This behavior is indicative of a C2 pattern where an adversary uses multiple LLM backends to perform plurality-vote or redundant queries, bypassing typical browser-based AI aggregation services.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects a non-browser process initiating network connections to four distinct commercial LLM API providers (DeepSeek, OpenRouter, Mistral, and Google Gemini) within a 5-minute interval. This behavior is indicative of a C2 pattern where an adversary uses multiple LLM backends to perform plurality-vote or redundant queries, bypassing typical browser-based AI aggregation services.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects network activity associated with NetSupport Manager remote access software, specifically targeting DNS lookups, TLS SNI connections, and direct TCP beaconing to a known-malicious infrastructure IP. This rule is designed to identify unauthorized use of legitimate remote support tools for command and control purposes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
This rule detects network traffic indicative of the SCKIT MemTensor worm establishing a command-and-control (C2) beacon. The detection identifies TLS connections where the Server Name Indication (SNI) matches a specific pattern of a 12-character hexadecimal string followed by .skyleen.fr.
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Arnold Chan@slaz
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Hunters
1 month ago
002
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