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Auto-generated rule - file 9acba7e5f972cdd722541a23ff314ea81ac35d5c0c758eb708fb6e2cc4f598a0

yara LOW Yara-Rules
backdoorcommunity
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: 2026-05-19T11:00:00Z · Confidence: medium

Hunt Hypothesis

The rule detects potential adversary behavior involving unauthorized file access or modification in the Azure environment, which could indicate lateral movement or data exfiltration. SOC teams should proactively hunt for this behavior to identify and mitigate early-stage threats that may evade traditional detection methods.

YARA Rule

rule GRIZZLY_STEPPE_Malware_2
{

   meta:
      description = "Auto-generated rule - file 9acba7e5f972cdd722541a23ff314ea81ac35d5c0c758eb708fb6e2cc4f598a0"
      author = "Florian Roth"
      reference = "https://goo.gl/WVflzO"
      date = "2016-12-29"
      hash1 = "9acba7e5f972cdd722541a23ff314ea81ac35d5c0c758eb708fb6e2cc4f598a0"
      hash2 = "55058d3427ce932d8efcbe54dccf97c9a8d1e85c767814e34f4b2b6a6b305641"
      
   strings:
      $x1 = "GoogleCrashReport.dll" fullword ascii
      $s1 = "CrashErrors" fullword ascii
      $s2 = "CrashSend" fullword ascii
      $s3 = "CrashAddData" fullword ascii
      $s4 = "CrashCleanup" fullword ascii
      $s5 = "CrashInit" fullword ascii

   condition:
      ( uint16(0) == 0x5a4d and filesize < 1000KB and $x1 ) or ( all of them )
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 6 string patterns in its detection logic.

References

False Positive Guidance

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/APT_APT29_Grizzly_Steppe.yar