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eXPressorv13CGSoftLabs

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 the eXPressor application by CG Soft Labs, which may indicate legitimate software usage or an adversary leveraging a trusted tool for initial access and lateral movement. Proactive hunting in Azure Sentinel is recommended to distinguish between benign administrative activity and suspicious instances where this application is executed from non-standard locations or atypical times, ensuring early identification of potential supply chain compromises.

YARA Rule

rule eXPressorv13CGSoftLabs
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 45 78 50 72 2D 76 2E 31 2E 33 2E }
	$a1 = { 55 8B EC 83 EC ?? 53 56 57 EB 0C 45 78 50 72 2D 76 2E 31 2E 33 2E 2E B8 [4] 2B 05 [4] A3 [4] 83 3D [4] 00 74 13 A1 [4] 03 05 [4] 89 [2] E9 [2] 00 00 C7 05 }

condition:
		$a0 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 4 specific false positive scenarios for the eXPressorv13CGSoftLabs detection rule, along with targeted filters and exclusions:

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