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eXPressorv1451CGSoftLabs

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

Hunt Hypothesis

This detection identifies potential execution of malicious or suspicious binaries matching the CG Soft Labs signature pattern within the Azure Sentinel environment. Proactively hunting for this behavior allows the SOC team to validate legitimate software usage and uncover early-stage threats that may evade standard high-severity alerts due to their low initial severity classification.

YARA Rule

rule eXPressorv1451CGSoftLabs
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 55 8B EC 83 EC 58 53 56 57 83 65 DC 00 F3 EB 0C 65 58 50 72 2D 76 2E 31 2E 34 2E 00 A1 00 [3] 05 00 [3] A3 08 [3] A1 08 [3] B9 81 [3] 2B 48 18 89 0D 0C [3] 83 3D 10 [3] 00 74 16 A1 08 [3] 8B 0D 0C [3] 03 48 14 }
	$a1 = { 55 8B EC 83 EC 58 53 56 57 83 65 DC 00 F3 EB 0C 65 58 50 72 2D 76 2E 31 2E 34 2E 00 A1 00 [3] 05 00 [3] A3 08 [3] A1 08 [3] B9 81 [3] 2B 48 18 89 0D 0C [3] 83 3D 10 [3] 00 74 16 A1 08 [3] 8B 0D 0C [3] 03 48 14 89 4D CC }

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

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

False Positive Guidance

Here are 3-5 specific false positive scenarios for the eXPressorv1451CGSoftLabs detection rule, including suggested filters and exclusions:

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