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PellesC2x4xDLLPelleOrinius

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: 2026-09-02T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies adversary activity involving the execution of specific DLLs associated with the Pelle or Orinius malware families, which often serve as indicators for initial foothold establishment or lateral movement. Proactively hunting for these signatures in Azure Sentinel is essential to uncover low-severity but potentially stealthy threats that may evade standard signature-based defenses and require deeper behavioral analysis before escalating into critical incidents.

YARA Rule

rule PellesC2x4xDLLPelleOrinius
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 89 E5 53 56 57 8B 5D 0C 8B 75 10 }

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 PellesC2x4xDLLPelleOrinius detection rule, along with suggested filters and exclusions:

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