Detections

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

18 detections

Detects invocation of the Hermes Agent 'godmode' LLM jailbreaking skill — the literal string 'godmode' appearing in application messages or commands together with agent/skill/jailbreak/red-team context, or an explicit 'godmode' skill name — indicating an attempt to bypass an LLM's built-in safety controls for autonomous offensive tasking.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
220192
Detects command lines consistent with ArachneC2 implant generation and hardening options.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
006
Detects creation of cloud accounts for establishing attack infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
106
Detects API access to VPS providers for spinning up attack infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
003
Detects API access to VPS providers for spinning up attack infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
002
This rule detects attempts to download malware builder tools (such as builders, generators, crypters, or packers) from raw.githubusercontent.com. It specifically looks for HTTP traffic where the host is 'raw.githubusercontent.com' and the URI contains keywords commonly associated with malware development tools.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
Detects program executions in suspicious non-program folders related to malware or hacking activity
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
001
Detects the execution of the PurpleSharp adversary simulation tool
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0011
Detects file creation patterns noticeable during the exploitation of CVE-2021-40444
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
009
Detects DLL hijacking technique used by NOBELIUM in their FoggyWeb backdoor. Which loads a malicious version of the expected "version.dll" dll
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
007
Detects the default filename used in PoC code against print spooler vulnerability CVE-2021-1675
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
107
Detects the execution of the PurpleSharp adversary simulation tool
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
006
This rule detects the execution of various known hacktools on Linux systems by monitoring process creation events and matching against a predefined list of tool names in the 'Image' field. The tools covered include C2 frameworks (e.g., Cobalt Strike, Metasploit, Havoc, Merlin, Sliver), network scanners (e.g., Nmap derivatives, Nuclei, Recon-ng), web enumeration tools (e.g., Dirb, Ffuf, Gobuster), web vulnerability scanners (e.g., Nikto, WPSCan), and other exploit/post-exploitation tools (e.g., Aircrack-ng, Bloodhound-Python, Hashcat, Hydra, John, SQLMap, PEASS-ng).
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
5078
Detects the creation of a specific file path commonly used in Proof-of-Concept (PoC) exploits for the Print Spooler vulnerability CVE-2021-1675, also known as PrintNightmare. This file path is typically created when an attacker successfully exploits the vulnerability to achieve remote code execution or privilege escalation.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1038
Detects known hacktool execution based on image name.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
001
This rule detects the execution of programs from suspicious directories on Linux systems. These directories are commonly used by malware or attackers for staging and executing malicious payloads, including temporary folders, web server directories, and data directories of typically exploited services like PostgreSQL, MySQL, and FTP. The rule specifically looks for SYSCALL events where the executable path starts with one of the predefined suspicious paths.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0036
Detects the execution of the PurpleSharp adversary simulation tool by looking for specific image paths, original filenames, or command-line arguments associated with the tool. This rule helps identify when an adversary simulation or red team exercise involving PurpleSharp is being conducted on a system.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1021
Detects the execution of the PurpleSharp adversary simulation tool
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000