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EmbedPEV1Xcyclotron

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: 2026-08-01T23:00:01Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential fileless or memory-resident threats by scanning for specific Cyclotron-embedded patterns within PE executables that may indicate early-stage adversary activity. A proactive hunt is essential in Azure Sentinel to uncover stealthy malware variants that evade traditional signature-based defenses, ensuring rapid identification of low-severity anomalies before they escalate into broader incidents.

YARA Rule

rule EmbedPEV1Xcyclotron
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 83 EC 50 60 68 [4] E8 [2] 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 4 specific false positive scenarios for the EmbedPEV1Xcyclotron detection rule, including suggested filters and exclusions tailored for an enterprise environment:

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