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MSLRHV031emadicius

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: 2026-08-01T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries leveraging specific YARA signatures to identify known malware or suspicious executable behaviors that may evade standard detection thresholds. Proactively hunting for this indicator in Azure Sentinel allows the SOC team to uncover early-stage threats and validate their presence across endpoints before they escalate into more severe incidents.

YARA Rule

rule MSLRHV031emadicius
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 60 D1 CB 0F CA C1 CA E0 D1 CA 0F C8 EB 01 F1 }

condition:
		$a0 at pe.entry_point
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 1 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the MSLRHV031emadicius detection rule, tailored for a legitimate enterprise environment:

Original source: https://github.com/Yara-Rules/rules/blob/main/packers/packer.yar