Detections

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

2,594 detections

Detects HTTP requests to domains masquerading as Google Play ('playgoogle.') that are attempting to serve Android application packages (.apk). This is a common indicator of malicious sideloading campaigns using typosquatting to deceive users into downloading fake applications.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
Detects outbound network traffic matching known SectopRAT C2 patterns. The rule monitors for established TCP connections to a specific malicious IP address with a payload size exceeding 300 bytes, consistent with the exfiltration of AES-encrypted JSON credential or wallet data. It includes threshold logic to limit alerts to once per source IP every 60 seconds.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
Detects outbound network traffic matching known SectopRAT C2 patterns. The rule monitors for established TCP connections to a specific malicious IP address with a payload size exceeding 300 bytes, consistent with the exfiltration of AES-encrypted JSON credential or wallet data. It includes threshold logic to limit alerts to once per source IP every 60 seconds.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects outbound network traffic matching known SectopRAT C2 patterns. The rule monitors for established TCP connections to a specific malicious IP address with a payload size exceeding 300 bytes, consistent with the exfiltration of AES-encrypted JSON credential or wallet data. It includes threshold logic to limit alerts to once per source IP every 60 seconds.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects outbound network traffic matching known SectopRAT C2 patterns. The rule monitors for established TCP connections to a specific malicious IP address with a payload size exceeding 300 bytes, consistent with the exfiltration of AES-encrypted JSON credential or wallet data. It includes threshold logic to limit alerts to once per source IP every 60 seconds.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
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.
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Arnold Chan@slaz
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Hunters
1 month ago
000
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
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.
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Arnold Chan@slaz
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Hunters
1 month ago
000
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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Detections.ai Community
1 month ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
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).
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
0016
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects HTTP POST requests containing JSON-RPC 'eth_call' methods, indicative of malware leveraging blockchain-based infrastructure for Command and Control (C2) resolution.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
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