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GoldenEye XLS with Macro - file Schneider-Bewerbung.xls

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: 2026-07-11T11:00:01Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversaries leveraging macro-enabled Excel documents disguised as job applications to execute initial payload delivery or credential harvesting within the organization. Proactively hunting for this behavior in Azure Sentinel is critical because low-severity alerts often mask sophisticated social engineering campaigns that rely on user interaction with seemingly benign files like “Schneider-Bewerbung.xls.”

YARA Rule

rule GoldenEye_Ransomware_XLS {
   meta:
      description = "GoldenEye XLS with Macro - file Schneider-Bewerbung.xls"
      author = "Florian Roth"
      reference = "https://goo.gl/jp2SkT"
      date = "2016-12-06"
      hash1 = "2320d4232ee80cc90bacd768ba52374a21d0773c39895b88cdcaa7782e16c441"
   strings:
      $x1 = "fso.GetTempName();tmp_path = tmp_path.replace('.tmp', '.exe')" fullword ascii
      $x2 = "var shell = new ActiveXObject('WScript.Shell');shell.run(t'" fullword ascii
   condition:
      ( uint16(0) == 0xcfd0 and filesize < 4000KB 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 4 specific false positive scenarios for the GoldenEye XLS with Macro detection rule in an enterprise environment, along with suggested filters:

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