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DMALocker

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: 2026-07-10T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the execution of the DMALocker malware, which adversaries deploy to manipulate system memory and evade traditional signature-based defenses. Proactively hunting for this behavior in Azure Sentinel is critical because early identification allows the SOC team to isolate compromised endpoints before the malware establishes persistence or exfiltrates sensitive data.

YARA Rule

rule DMALocker : ransom
{
    meta:
    Description = "Deteccion del ransomware DMA Locker desde la version 1.0 a la 4.0"
    ref = "https://blog.malwarebytes.org/threat-analysis/2016/02/dma-locker-a-new-ransomware-but-no-reason-to-panic/"
    Author = "SadFud"
    Date = "30/05/2016"
    
    strings:
    $uno = { 41 42 43 58 59 5a 31 31 }
	  $dos = { 21 44 4d 41 4c 4f 43 4b }
	  $tres = { 21 44 4d 41 4c 4f 43 4b 33 2e 30 }
	  $cuatro = { 21 44 4d 41 4c 4f 43 4b 34 2e 30 }
    
    condition:
    any of them
    
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 4 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the DMALocker detection rule in an enterprise environment, including suggested filters and exclusions:

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