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PEBundlev20b5v23

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: 2026-08-13T11:00:01Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential process injection or execution anomalies by monitoring for specific PE Bundle signatures that may indicate an adversary attempting to obfuscate malicious payloads within legitimate processes. Proactive hunting in Azure Sentinel is essential to uncover stealthy lateral movement or command-and-control activities that evade standard signature-based defenses, ensuring early identification of low-severity threats before they escalate.

YARA Rule

rule PEBundlev20b5v23
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 9C 60 E8 02 [3] 33 C0 8B C4 83 C0 04 93 8B E3 8B 5B FC 81 EB [2] 40 ?? 87 DD 01 AD [4] 01 AD }

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 PEBundlev20b5v23 detection rule in an enterprise environment:

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