Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network communication associated with the SectopRAT/ArechClient2 remote access trojan, specifically identifying its characteristic length-prefixed, AES-encrypted command-and-control handshake on non-standard ports. The rule matches traffic containing a specific length-prefixed packet structure starting with null bytes, typically seen during C2 check-in.
Detects network activity related to the SectopRAT malware downloading a secondary module named 'WbElevation.dll' from a known command and control (C2) server. This module is typically associated with browser credential theft functionality.
Detects network activity related to the SectopRAT malware downloading a secondary module named 'WbElevation.dll' from a known command and control (C2) server. This module is typically associated with browser credential theft functionality.
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 (DNS queries, TLS SNI, and HTTP requests) associated with identified 'ShipmentsFree' scam domains. These domains are typically used in phishing or credential harvesting campaigns to trick users into visiting fake account or tracking pages.
Detects network activity (DNS queries, TLS SNI, and HTTP requests) associated with identified 'ShipmentsFree' scam domains. These domains are typically used in phishing or credential harvesting campaigns to trick users into visiting fake account or tracking pages.
Detects network activity (DNS queries, TLS SNI, and HTTP requests) associated with identified 'ShipmentsFree' scam domains. These domains are typically used in phishing or credential harvesting campaigns to trick users into visiting fake account or tracking pages.
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 HTTP GET requests to external services 'trycloudflare.com' or 'workers.dev' that return a file content starting with the 'MZ' and 'PE' header signatures within the first 256 bytes, indicating a Windows executable payload download often associated with AvisLoader activity.
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 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 DNS queries, HTTP requests, and TLS SNI traffic directed towards the domain 'cloudflare-check.net', which is associated with 'ClickFix' social engineering campaigns used to deceive users into executing malicious code.
This rule detects DNS queries, TLS Server Name Indication (SNI) lookups, and HTTP Host header requests directed towards a list of known domains associated with 'Exvicy' malicious activities (lure domains).
Detects outbound network traffic from internal hosts to Telegram shortened URLs (t.me). The detection looks for TLS SNI strings or HTTP requests targeting t.me domains, specifically focusing on non-browser user-agent strings which are indicative of Vidar-style malware using Telegram as a dead-drop resolver for C2 operations.
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.
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