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Detects suspicious indicators for Sha1 Hulud worm

yara HIGH signature-base
florian-roth
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at signature-base →
Retrieved: 2026-08-06T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries leveraging the Sha1 Hulud worm to establish persistent footholds through file system manipulation and lateral movement within Azure Sentinel-monitored endpoints. Proactively hunting for these specific indicators is critical to identify early-stage infections before they propagate across the network, ensuring rapid containment of this high-severity threat vector.

YARA Rule

rule SUSP_JS_NPM_Sha1_Hulud_Nov25 {
   meta:
      description = "Detects suspicious indicators for Sha1 Hulud worm"
      author = "Marius Benthin"
      date = "2025-11-24"
      modified = "2025-12-15"
      reference = "https://www.aikido.dev/blog/shai-hulud-strikes-again-hitting-zapier-ensdomains"
      hash = "62ee164b9b306250c1172583f138c9614139264f889fa99614903c12755468d0"
      score = 70
      id = "511fa6ca-25fe-57d4-a910-277c92d65e4a"
   strings:
      $x1 = "Sha1-Hulud:\\x"
      $x2 = "SHA1HULUD\"`"
   condition:
      filesize < 20MB
      and 1 of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

References

False Positive Guidance

Here are 5 specific false positive scenarios for the “Sha1 Hulud worm” detection rule, including targeted filters and exclusions:

Original source: https://github.com/Neo23x0/signature-base/blob/main/yara/mal_npm_supply_chain_nov25.yar