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Auto-generated rule - file b5ef16922e2c76b09edd71471dd837e89811c5e658406a8495c1364d0d9dc690

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

Hunt Hypothesis

This detection rule identifies anomalous file creation events that may indicate early-stage adversary activity, such as malware deployment or data staging, within the Azure environment. Proactive hunting for these specific file artifacts is essential to uncover silent threats that bypass standard alerting thresholds and to establish a baseline of normal file system behavior before an incident escalates.

YARA Rule

rule GoldenEyeRansomware_Dropper_MalformedZoomit {
   meta:
      description = "Auto-generated rule - file b5ef16922e2c76b09edd71471dd837e89811c5e658406a8495c1364d0d9dc690"
      author = "Florian Roth"
      reference = "https://goo.gl/jp2SkT"
      date = "2016-12-06"
      hash1 = "b5ef16922e2c76b09edd71471dd837e89811c5e658406a8495c1364d0d9dc690"
   strings:
      $s1 = "ZoomIt - Sysinternals: www.sysinternals.com" fullword ascii
      $n1 = "Mark Russinovich" wide
   condition:
      ( uint16(0) == 0x5a4d and filesize < 800KB and $s1 and not $n1 )
}

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

Based on the rule title and hash provided, this detection appears to monitor file system activity (likely creation, modification, or execution) of files with specific cryptographic signatures or in sensitive directories. In an enterprise environment, legitimate administrative actions often mimic suspicious file behavior.

Here are 4 specific false positive scenarios with corresponding filters:

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