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FSGv110EngdulekxtMASM32TASM32

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: 2026-08-31T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets the execution of specific MASM32-based processes identified by the FSGv110 YARA signature to detect potential low-severity anomalies or early-stage adversary activity involving custom assembly modules. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to validate legitimate usage patterns and identify subtle deviations that could indicate stealthy reconnaissance or the deployment of specialized tools before they escalate into higher-severity incidents.

YARA Rule

rule FSGv110EngdulekxtMASM32TASM32
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 03 F7 23 FE 33 FB EB 02 CD 20 BB 80 ?? 40 00 EB 01 86 EB 01 90 B8 F4 00 00 00 83 EE 05 2B }
	$a1 = { 03 F7 23 FE 33 FB EB 02 CD 20 BB 80 ?? 40 00 EB 01 86 EB 01 90 B8 F4 00 00 00 83 EE 05 2B F2 81 F6 EE 00 00 00 EB 02 CD 20 8A 0B E8 02 00 00 00 A9 54 5E C1 EE 07 F7 D7 EB 01 DE 81 E9 B7 96 A0 C4 EB 01 6B EB 02 CD 20 80 E9 4B C1 CF 08 EB 01 71 80 E9 1C EB }

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 4 specific false positive scenarios for the FSGv110EngdulekxtMASM32TASM32 detection rule, including suggested filters and exclusions:

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