Detections

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

2 detections

Detects the presence of known malicious VS Code extension files disguised as Jupyter Notebook and markdown tools, which act as a multi-stage backdoor utilized by North Korean threat actors. The rule specifically looks for file creation events of VSIX files with names associated with a known campaign.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
108
Detects curl commands using user-agent strings that Sapphire Sleet uses as campaign tracking identifiers in their macOS intrusion chain. Each stage of the cascading payload delivery uses a distinct UA (mac-cur1 through mac-cur5) to route requests to different server paths serving AppleScript payloads or ZIP archives containing malicious .app bundles.
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Tim Peck@timpeck
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Detections.ai Community
7 months ago
110651