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EXERefactorV01random

yara LOW Yara-Rules
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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: 2026-08-24T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential malware or suspicious executables that utilize randomization in their file structure to evade static analysis and signature-based defenses. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to uncover stealthy threats that may bypass standard AV solutions by analyzing YARA rule matches across endpoint telemetry before an incident escalates.

YARA Rule

rule EXERefactorV01random
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 8B EC 81 EC 90 0B 00 00 53 56 57 E9 58 8C 01 00 55 53 43 41 54 49 4F 4E }

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 EXERefactorV01random detection rule, including suggested filters and exclusions:

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