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PENinjav10DzAkRAkerTNT

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 hunt hypothesis targets adversaries leveraging specific file signatures identified by the PENinjav10DzAkRAkerTNT YARA rule to detect early-stage malware or suspicious artifacts that may evade standard signature-based defenses. Proactively hunting for these indicators in Azure Sentinel allows the SOC team to identify low-severity anomalies before they escalate, ensuring comprehensive visibility into potential threats that might otherwise be overlooked by automated alerting thresholds.

YARA Rule

rule PENinjav10DzAkRAkerTNT
{
      meta:
		author="malware-lu"
strings:
		$a0 = { BE 5B 2A 40 00 BF 35 12 00 00 E8 40 12 00 00 3D 22 83 A3 C6 0F 85 67 0F 00 00 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 }

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 PENinjav10DzAkRAkerTNT detection rule, including suggested filters and exclusions:

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