Detections

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

5 detections

This rule detects the presence of Blackbeard malware by identifying known SHA256 hashes of its components or network connections to its known C2 infrastructure. It correlates file events with specific hashes and network events with specific remote IP addresses.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects the presence of Blackbeard malware by identifying known SHA256 hashes of its components or network connections to its known C2 infrastructure. It correlates file events with specific hashes and network events with specific remote IP addresses.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects the creation of the 'Oregon.wdlp' file in the Windows Startup folder, which is a known secondary persistence mechanism used by the BlackBeard malware, linked to the Boggy Serpens threat group.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
30137
This rule detects the presence of Blackbeard malware by identifying known SHA256 hashes of its components or network connections to its known C2 infrastructure. It correlates file events with specific hashes and network events with specific remote IP addresses.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
5049
'This rule identifies a web request to a URL that holds a file type, including .ps1, .bat, .vbs, and .scr that can be harmful if downloaded. This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM WebSession schema (ASIM WebSession Schema)'
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
2052