Detections

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

2,521 detections

Detects potential multimodal prompt injection attacks where an AI agent process ingests a file (PDF, image, etc.) from a browser or mail client and subsequently performs suspicious downstream activity, such as spawning a shell with execution primitives or making network connections to rare, non-reputable external domains. Covers T1204, T1059, T1105
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Arnold Chan@slaz
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Hunters
1 month ago
001
This rule detects potentially malicious child processes spawned by Visual Studio Code (Code.exe) when using VS Code tasks (tasks.json). It identifies suspicious CLI arguments often associated with downloading, executing, or obfuscating scripts (e.g., PowerShell, curl, python, mshta) that are not part of standard development workflows like npm, yarn, or git, which are explicitly filtered out as noise.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
305
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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Midnight Slayer
1 month ago
002
Detects potential ClickFix-style social engineering attacks where a victim is prompted to execute an encoded PowerShell command (often via copy-paste into a terminal). The rule specifically monitors PowerShell processes initiated by shell environments (explorer.exe, cmd.exe, or WindowsTerminal.exe) that execute encoded, hidden scripts to perform multiple suspicious network requests for files (e.g., .zip, .enc, .bin) from non-standard domains.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
308
Detects AI coding assistants and LLM agent frameworks spawning shell processes or interpreters to execute potentially malicious commands. The rule monitors for suspicious activity often associated with download cradles, credential access, reconnaissance, or persistence, while excluding standard interactive terminal usage.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects AI coding assistants and LLM agent frameworks spawning shell processes or interpreters to execute potentially malicious commands. The rule monitors for suspicious activity often associated with download cradles, credential access, reconnaissance, or persistence, while excluding standard interactive terminal usage.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
This rule detects outbound HTTP requests to the blogspot.com domain, which is often used by malware for command-and-control (C2) communication, staging, or as an initial check-in mechanism. Attackers frequently abuse legitimate blogging platforms to host malicious content and evade network-based detections that might otherwise flag unknown or suspicious domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the suspicious copying of the Windows certutil.exe binary to an alternate location (e.g., /Users/Public/Downloads/) followed by execution with decoding or caching flags. This behavior is indicative of an adversary attempting to use certutil as a LOLBin to decode or reassemble malicious payloads, a tactic frequently observed in Kimsuky-related LNK malware campaigns.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects instances where WScript.exe or CScript.exe spawn PowerShell.exe as a child process. The rule specifically looks for command-line arguments indicative of policy bypass (-ExecutionPolicy Bypass) and remote payload retrieval (Invoke-WebRequest, DownloadString), which is a common pattern in obfuscated JavaScript-based infection chains.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects specific FTP commands (STOR, RETR, TYPE I) and passive mode responses directed to or originating from identified malicious IP addresses associated with the LucidRook threat actor. This rule monitors for potential file exfiltration, payload retrieval, and command-and-control communication over the FTP protocol.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects outbound network traffic associated with identified ClickFix CPaaS payload domains and associated API endpoints. The rule monitors for specific malicious domain contact (comicstar.lat, babybon.cfd, merkantalolol.asia) and the use of the '/api/index.php?a=init' endpoint, which is indicative of the ClickFix payload delivery mechanism.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
This rule detects the use of PowerShell to download common Remote Monitoring and Management (RMM) or remote access tools from the internet. This behavior is frequently associated with malicious actors attempting to establish persistent remote access to a compromised system.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
306
Detects network beaconing activity associated with the TuxBot v3 IoT botnet. The rule identifies specific User-Agent strings (TuxBot/3, BusyBox wget, Wget/1.x), requests for .elf files, and connections to suspicious top-level domains frequently used for botnet command-and-control (C2) infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
Detects network traffic associated with AMOS (Atomic macOS) Stealer malware, identifying C2 beaconing and tasking requests. The rules specifically monitor POST requests to '/api/t' with JSON payloads and GET requests to '/api/shell/agent' over non-standard ports (excluding 80 and 443).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects HTTP GET requests to external URIs matching a specific pattern (a 10-20 character hexadecimal path followed by ?force=1), which is characteristic of the delivery or staging mechanism used by MacStealer (Macfinger) and Atomic macOS Stealer (AMOS) malware families.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects HTTP GET requests associated with the delivery of AMOS (Atomic macOS Stealer) payloads. This rule monitors for specific URL patterns (force=1) used by stager scripts to fetch Mach-O binary payloads from known malicious infrastructure or matching known malicious file hashes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects HTTP GET requests associated with the delivery of AMOS (Atomic macOS Stealer) payloads. This rule monitors for specific URL patterns (force=1) used by stager scripts to fetch Mach-O binary payloads from known malicious infrastructure or matching known malicious file hashes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects a specific staging and execution pattern where a payload file with a 6-16 character random filename is written to a temporary directory and subsequently executed by a common Windows handler process (such as rundll32, regsvr32, or powershell) within a 60-second window. This behavior is indicative of the Sauron Loader task-execution workflow.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects a specific staging and execution pattern where a payload file with a 6-16 character random filename is written to a temporary directory and subsequently executed by a common Windows handler process (such as rundll32, regsvr32, or powershell) within a 60-second window. This behavior is indicative of the Sauron Loader task-execution workflow.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects a suspicious pattern where an endpoint initiates an HTTP GET request to a known staging IP with a specific 'force=1' parameter, followed by the execution of a bash shell process. This behavior is associated with the ClickFix attack chain used to deliver AMOS Stealer payloads on macOS.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects the Sauron Loader malware pattern where a payload is downloaded or retrieved and written to a randomly named file within a temporary directory, followed by the immediate execution of that staged file. This behavior is indicative of C2 tasking involving payload staging.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
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