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PEEncryptv40bJunkCode

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: 2026-08-26T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential malware or obfuscated executables that utilize PE encryption with embedded junk code to evade static analysis and signature-based defenses. A proactive hunt is essential in Azure Sentinel to uncover stealthy threats that may bypass initial ingestion filters by analyzing file entropy and structural anomalies before they execute within the environment.

YARA Rule

rule PEEncryptv40bJunkCode
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 66 [2] 00 66 83 ?? 00 }

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 PEEncryptv40bJunkCode detection rule, including suggested filters and exclusions:

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