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Petite22c199899IanLuck

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: 2026-08-18T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries leveraging specific file-based indicators defined by the “Petite22c199899IanLuck” YARA rule to detect early-stage malware or suspicious artifacts within the environment. Proactive hunting for this low-severity signal in Azure Sentinel is essential to identify potential stealthy threats that may evade standard detection thresholds before they escalate into significant incidents.

YARA Rule

rule Petite22c199899IanLuck
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 68 [4] 64 FF 35 00 00 00 00 64 89 25 00 00 00 00 66 9C 60 50 68 00 00 [2] 8B 3C 24 8B 30 66 81 C7 80 07 8D 74 06 08 89 38 8B 5E 10 50 56 6A 02 68 80 08 00 00 57 6A ?? 6A 06 56 6A 04 68 80 08 00 00 57 FF D3 83 EE 08 59 F3 A5 59 66 }

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 detection rule Petite22c199899IanLuck, along with suggested filters and exclusions:

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