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Rule to detect Jeff DEV Ransomware

yara LOW Yara-Rules
communityransomware
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: 2026-07-12T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection targets adversary behavior characterized by specific file encryption and process execution patterns indicative of the Jeff DEV ransomware variant within Azure Sentinel. Proactively hunting for this signature is essential because early identification allows the SOC team to isolate affected workloads before lateral spread occurs, minimizing potential data loss despite the rule’s current low severity classification.

YARA Rule

rule jeff_dev_ransomware {

   meta:
   
      description = "Rule to detect Jeff DEV Ransomware"
      author = "Marc Rivero | @seifreed"
      reference = "https://www.bleepingcomputer.com/news/security/the-week-in-ransomware-august-31st-2018-devs-on-vacation/"
      
   strings:

      $s1 = "C:\\Users\\Umut\\Desktop\\takemeon" fullword wide
      $s2 = "C:\\Users\\Umut\\Desktop\\" fullword ascii
      $s3 = "PRESS HERE TO STOP THIS CREEPY SOUND AND VIEW WHAT HAPPENED TO YOUR COMPUTER" fullword wide
      $s4 = "WHAT YOU DO TO MY COMPUTER??!??!!!" fullword wide

   condition:

      ( uint16(0) == 0x5a4d and filesize < 5000KB ) and all 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

Here are 5 specific false positive scenarios for the Jeff DEV Ransomware detection rule in an enterprise environment, along with suggested filters or exclusions:

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