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Elanguage

yara LOW Yara-Rules
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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: 2026-08-23T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential malicious activity associated with the “Elanguage” signature, which may indicate the presence of specific obfuscated scripts or custom code execution often used by adversaries to evade standard analysis. SOC teams should proactively hunt for this indicator in Azure Sentinel to validate its context and rule out false positives before they escalate into more severe incidents involving unknown language-based threats.

YARA Rule

rule Elanguage
{
      meta:
		author="malware-lu"
strings:
		$a0 = { E8 06 00 00 00 50 E8 ?? 01 00 00 55 8B EC 81 C4 F0 FE FF FF }

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 5 specific false positive scenarios for the Elanguage detection rule in an enterprise environment, along with suggested filters and exclusions:

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