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HardlockdongleAlladin

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: 2026-08-31T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential hardware dongle-based security mechanisms or legacy authentication tools that may introduce blind spots in software-centric monitoring strategies. Proactively hunting for these artifacts in Azure Sentinel is essential to validate their legitimate presence and ensure they do not obscure critical telemetry data from other endpoint security solutions.

YARA Rule

rule HardlockdongleAlladin
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 5C 5C 2E 5C 48 41 52 44 4C 4F 43 4B 2E 56 58 44 00 00 00 00 5C 5C 2E 5C 46 45 6E 74 65 44 65 76 }

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 HardlockdongleAlladin 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