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Armadillov160a

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: 2026-08-26T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the presence of the Armadillov160a malware signature within endpoint logs, indicating potential file-based execution or persistence attempts by an adversary. Proactively hunting for this indicator in Azure Sentinel allows the SOC team to validate low-severity alerts against broader threat intelligence and prevent silent lateral movement before it escalates into a critical incident.

YARA Rule

rule Armadillov160a
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 8B EC 6A FF 68 98 71 40 00 68 48 2D 40 00 64 A1 00 00 00 00 50 64 89 25 00 00 00 00 83 EC 58 }

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 Armadillov160a detection rule, along with targeted filters and exclusions:

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