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RLPack118aPlib043ap0x

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: 2026-08-27T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis detects potential malicious activity from a specific library or executable identified by the YARA signature RLPack118aPlib043ap0x, which may indicate early-stage reconnaissance or a known benign process requiring validation. A SOC team should proactively hunt for this indicator in Azure Sentinel to distinguish between legitimate application behavior and stealthy adversary presence, ensuring that low-severity signals do not mask emerging threats within the environment.

YARA Rule

rule RLPack118aPlib043ap0x
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 60 E8 00 00 00 00 8B 2C 24 83 C4 ?? 8D B5 1A 04 00 00 8D 9D C1 02 00 00 33 FF E8 61 01 00 00 EB 0F FF 74 37 04 FF 34 37 FF D3 83 C4 ?? 83 C7 ?? 83 3C 37 00 75 EB 83 BD 06 04 00 00 00 74 0E 83 BD 0A 04 00 00 00 74 05 E8 D7 01 00 00 8D 74 37 04 53 6A ?? 68 [4] 68 [4] 6A 00 FF 95 A7 03 00 00 89 85 16 04 00 00 5B FF B5 16 04 00 00 56 FF D3 83 C4 ?? 8B B5 16 04 00 00 8B C6 EB 01 }

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 detection rule RLPack118aPlib043ap0x, including suggested filters and exclusions tailored for an enterprise environment:

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