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PKLITEv100c1

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: 2026-08-25T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets the execution of a specific lightweight process identified by the PKLITEv100c1 YARA signature to detect potential early-stage adversary activity or benign utility usage that may evade standard detection logic. Proactively hunting for this indicator in Azure Sentinel is essential to validate its behavior across endpoints, ensuring that low-severity signals are not overlooked as false positives while establishing a baseline for future anomaly detection.

YARA Rule

rule PKLITEv100c1
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 2E 8C 1E [2] 8B 1E [2] 8C DA 81 C2 [2] 3B DA 72 ?? 81 EB [2] 83 EB ?? FA 8E D3 BC [2] FB FD BE [2] 8B FE }

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 PKLITEv100c1 detection rule, including suggested filters and exclusions tailored for an enterprise environment:

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