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Detects EquationGroup Tool - April Leak

yara LOW Yara-Rules
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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 Yara-Rules →
Retrieved: 2026-06-09T23:00:00Z · Confidence: medium

Hunt Hypothesis

The hypothesis is that the detection of EquationGroup Tool - April Leak indicates potential adversary use of legacy malware with known persistence mechanisms. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate long-term persistence threats that may have evaded traditional detection methods.

YARA Rule

rule EquationGroup_Toolset_Apr17_DiBa_Target_2000 {
   meta:
      description = "Detects EquationGroup Tool - April Leak"
      author = "Florian Roth"
      reference = "https://steemit.com/shadowbrokers/@theshadowbrokers/lost-in-translation"
      date = "2017-04-15"
      hash1 = "f9ea8ff5985b94f635d03f3aab9ad4fb4e8c2ad931137dba4f8ee8a809421b91"
   strings:
      $s1 = "0M1U1Z1p1" fullword ascii

      $op1 = { f4 65 c6 45 f5 6c c6 45 f6 33 c6 45 f7 32 c6 45 }
      $op2 = { 36 c6 45 e6 34 c6 45 e7 50 c6 45 e8 72 c6 45 e9 }
      $op3 = { c6 45 e8 65 c6 45 e9 70 c6 45 ea 74 c6 45 eb 5f }
   condition:
      ( uint16(0) == 0x5a4d and filesize < 1000KB and 3 of them )
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 4 string patterns in its detection logic.

References

False Positive Guidance

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/APT_eqgrp_apr17.yar