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DEFv100Engbartxt

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: 2026-08-15T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries leveraging specific English-language text patterns identified by the DEFv100Engbartxt YARA signature to detect potential data exfiltration or command-and-control communication within Azure Sentinel. Proactive hunting for this low-severity indicator is essential to uncover subtle, early-stage threats that may evade standard alerting thresholds and prevent lateral movement before escalation occurs.

YARA Rule

rule DEFv100Engbartxt
{
      meta:
		author="malware-lu"
strings:
		$a0 = { BE ?? 01 40 00 6A ?? 59 80 7E 07 00 74 11 8B 46 0C 05 00 00 40 00 8B 56 10 30 10 40 4A 75 FA 83 C6 28 E2 E4 68 [2] 40 00 C3 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 }

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 3-5 specific false positive scenarios for the DEFv100Engbartxt detection rule, including suggested filters and exclusions:

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