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VxNcuLi1688

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: 2026-08-17T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets the presence of specific malware signatures identified by the VxNcuLi1688 YARA rule to detect early-stage file-based threats that may evade standard signature updates. Proactively hunting for these indicators in Azure Sentinel allows the SOC team to identify low-severity anomalies before they escalate, ensuring comprehensive coverage against emerging malicious artifacts within the environment.

YARA Rule

rule VxNcuLi1688
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 0E 1E B8 55 AA CD 21 3D 49 4C 74 ?? 0E 0E 1F 07 E8 }

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 VxNcuLi1688 detection rule, including suggested filters and exclusions:

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