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PrincessSandyv10eMiNENCEProcessPatcherPatch

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: 2026-08-12T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies adversary behavior where malicious processes are injected or patched into legitimate system binaries to evade standard security controls and maintain persistence within the environment. A SOC team should proactively hunt for this activity in Azure Sentinel because process patching is a sophisticated evasion technique that often bypasses traditional signature-based defenses, requiring behavioral analysis to uncover stealthy threats that might otherwise remain undetected.

YARA Rule

rule PrincessSandyv10eMiNENCEProcessPatcherPatch
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 68 27 11 40 00 E8 3C 01 00 00 6A 00 E8 41 01 00 00 A3 00 20 40 00 8B 58 3C 03 D8 0F B7 43 14 0F B7 4B 06 8D 7C 18 18 81 3F 2E 4C 4F 41 74 0B 83 C7 28 49 75 F2 E9 A7 00 00 00 8B 5F 0C 03 1D 00 20 40 00 89 1D 04 20 40 00 8B FB 83 C7 04 68 4C 20 40 00 68 08 }

condition:
		$a0
}

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 PrincessSandyv10eMiNENCE Process Patcher detection rule, along with targeted filters and exclusions:

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