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QrYPt0rbyNuTraL

yara LOW Yara-Rules
community
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: 2026-08-22T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential fileless or memory-resident threats by leveraging a custom YARA signature to scan for specific malware patterns within Azure Sentinel’s telemetry. Proactively hunting for this behavior is essential to uncover stealthy adversary activities that may evade traditional network-based controls and ensure early identification of low-severity indicators before they escalate into critical incidents.

YARA Rule

rule QrYPt0rbyNuTraL
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 80 F9 00 0F 84 8D 01 00 00 8A C3 [50] 32 C1 3C F3 75 89 [50] BA D9 04 00 00 E8 00 00 00 00 5F 81 C7 16 01 00 00 80 2C 3A 01 }
	$a1 = { 86 18 CC 64 FF 35 00 00 00 00 [50] 64 89 25 00 00 00 00 BB 00 00 F7 BF [50] B8 78 56 34 12 87 03 E8 CD FE FF FF E8 B3 }
	$a2 = { EB 00 E8 B5 00 00 00 E9 2E 01 00 00 64 FF 35 00 00 00 00 [50] 64 89 25 00 00 00 00 8B 44 24 04 }

condition:
		$a0 or $a1 or $a2 at pe.entry_point
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the QrYPt0rbyNuTraL detection rule in an enterprise environment:

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