Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 characteristic of the CVE-2019-0708 (BlueKeep) Remote Desktop Services exploit, including specific RDP negotiation patterns and subsequent RDP service crashes or resets potentially indicative of a successful or failed exploitation attempt.
Detects attempts to exploit an unauthenticated Remote Code Execution (RCE) vulnerability in Langflow via the /api/v1/validate/code endpoint. The rule monitors for POST requests containing Base64 encoded payloads or direct Python command-line execution patterns, which indicate an attempt to achieve arbitrary code execution.
This rule detects HTTP GET requests resulting in the download of an Android Package (.apk) file where the host is not a known official Google Play or reputable third-party application distribution source. It further validates the detection by inspecting the HTTP response headers for the specific Android application package MIME type and the response body for indicators commonly associated with fake branded application portals.
Detects the specific TCP handshake pattern characteristic of the Fast Reverse Proxy (FRP) client (frpc) initiating a connection to a command-and-control server. The rule inspects established traffic for specific metadata strings ('privilege_key', 'run_id', 'pool_count') within the initial handshake payload.
Detects a sequence of Tox P2P protocol packets consisting of a Cookie Request, Cookie Response, and Crypto Handshake within a single network flow. This pattern is indicative of the Tox P2P protocol, which is sometimes abused by malware (e.g., AvisLoader) for command-and-control (C2) communications to evade traditional network inspection.
Detects a sequence of Tox P2P protocol packets consisting of a Cookie Request, Cookie Response, and Crypto Handshake within a single network flow. This pattern is indicative of the Tox P2P protocol, which is sometimes abused by malware (e.g., AvisLoader) for command-and-control (C2) communications to evade traditional network inspection.
Detects HTTP requests containing malicious JDBC strings targeting PaperCut NG/MF print management software, which are indicative of attempts to exploit authentication bypass and remote code execution vulnerabilities (CVE-2026-81578, CVE-2026-82078).
Detects high-volume POST requests containing HEIF, HEIC, or AVIF image content types, indicative of automated fuzzing or exploitation attempts against an image-processing endpoint targeting CVE-2026-32882.
Detects HTTP POST requests containing JSON-RPC 'eth_call' methods, indicative of malware leveraging blockchain-based infrastructure for Command and Control (C2) resolution.
Detects outbound HTTP POST requests characterized by a specific 'Accept' header configuration commonly associated with Vidar Stealer command and control (C2) communication. This signature relies on the consistency of HTTP header patterns often observed in Vidar infections.
Detects network handshake patterns associated with the Fast Reverse Proxy (FRP) client, specifically identifying outbound traffic containing identifiers used in common FRP reverse tunnel configurations. This behavior is indicative of unauthorized remote access tools or tunneling software establishing a connection to an external command-and-control server.
This rule detects potential exfiltration of sensitive files, specifically 'cert.pem' and 'private.key', via HTTP POST requests to the '/api/adbk/upload' endpoint. This pattern is characteristic of the RatHat malware attempting to exfiltrate device credentials to a Command and Control (C2) server.
This rule detects HTTP GET requests to a specific GitHub repository path (raw.githubusercontent.com/omskiwdcvoiuyfd0998/) identified as staging infrastructure associated with Konni/VelvetCake malware operations. This activity is indicative of a compromised host attempting to download malicious payloads or stage tools from actor-controlled infrastructure.
This rule detects HTTP GET requests to a specific GitHub repository path (raw.githubusercontent.com/omskiwdcvoiuyfd0998/) identified as staging infrastructure associated with Konni/VelvetCake malware operations. This activity is indicative of a compromised host attempting to download malicious payloads or stage tools from actor-controlled infrastructure.
Detects specific command-and-control (C2) communication patterns associated with the VelvetCake malware. The rules identify initial authentication with a hardcoded password string, module enumeration requests, and session termination signals transmitted over TCP.
Detects specific command-and-control (C2) communication patterns associated with the VelvetCake malware. The rules identify initial authentication with a hardcoded password string, module enumeration requests, and session termination signals transmitted over TCP.
Detects specific command-and-control (C2) communication patterns associated with the VelvetCake malware. The rules identify initial authentication with a hardcoded password string, module enumeration requests, and session termination signals transmitted over TCP.
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
This rule detects network traffic directed at known command and control (C2) domains associated with the Koktevrat malware, specifically targeting the domain 'fb-market-play.cc'. This pattern is indicative of compromised hosts attempting to communicate with attacker infrastructure, often following an initial infection phase initiated via malicious links.
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