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SDProtector1xRandyLi

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: 2026-08-11T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential file integrity violations or specific malware signatures associated with the SDProtector1xRandyLi YARA rule within the endpoint ecosystem. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to uncover early-stage threats that may not trigger high-severity alerts, ensuring comprehensive visibility into low-fidelity but potentially significant security events across the environment.

YARA Rule

rule SDProtector1xRandyLi
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 8B EC 6A FF 68 1D 32 13 05 68 88 88 88 08 64 A1 00 00 00 00 50 64 89 25 00 00 00 00 58 64 A3 00 00 00 00 58 58 58 58 8B E8 E8 3B 00 00 00 E8 01 00 00 00 FF 58 05 53 00 00 00 51 8B 4C 24 10 89 81 B8 00 00 00 B8 55 01 00 00 89 41 20 33 C0 89 41 04 89 41 }

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 SDProtector1xRandyLi detection rule, including tailored filters and exclusions:

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