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eXPressorv12CGSoftLabs

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 hunt hypothesis targets the presence of the eXPressor v12 CG Soft Labs application or associated artifacts within the environment to identify potential software supply chain anomalies or unauthorized installations. Proactively hunting for this signature in Azure Sentinel allows the SOC team to validate legitimate deployments and quickly distinguish them from malicious impersonation attempts, ensuring low-severity signals do not obscure critical threats.

YARA Rule

rule eXPressorv12CGSoftLabs
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 45 78 50 72 2D 76 2E 31 2E 32 2E }
	$a1 = { 55 8B EC 81 EC D4 01 00 00 53 56 57 EB 0C 45 78 50 72 2D 76 2E 31 2E 32 2E 2E B8 [4] 2B 05 84 [3] A3 [4] 83 3D [4] 00 74 16 A1 [4] 03 05 80 [3] 89 85 54 FE FF FF E9 ?? 07 00 00 C7 05 [4] 01 00 00 00 68 04 }
	$a2 = { 55 8B EC 81 EC D4 01 00 00 53 56 57 EB 0C 45 78 50 72 2D 76 2E 31 2E 32 2E 2E B8 [4] 2B 05 84 [3] A3 [4] 83 3D [4] 00 74 16 A1 [4] 03 05 80 [3] 89 85 54 FE FF FF E9 ?? 07 00 00 C7 05 [4] 01 00 00 00 68 04 01 00 00 8D 85 F0 FE FF FF 50 6A 00 FF 15 }

condition:
		$a0 or $a1 at pe.entry_point or $a2 at pe.entry_point
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 3 string patterns in its detection logic.

False Positive Guidance

Here are 3-5 specific false positive scenarios for the eXPressorv12CGSoftLabs detection rule, including suggested filters and exclusions:

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