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Armadillov300

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: 2026-08-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the presence of the Armadillov300 malware signature on endpoints, indicating potential initial access or persistence activities by an adversary utilizing this specific threat family. Proactive hunting for this indicator in Azure Sentinel is essential to uncover early-stage infections that may evade standard high-severity alerts due to their low severity classification, allowing the SOC team to investigate and contain threats before they escalate.

YARA Rule

rule Armadillov300
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 60 E8 [4] 5D 50 51 EB 0F B9 EB 0F B8 EB 07 B9 EB 0F 90 EB 08 FD EB 0B F2 EB F5 EB F6 F2 EB 08 FD EB E9 F3 EB E4 FC E9 59 58 60 33 C9 }

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 4 specific false positive scenarios for the Armadillov300 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