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FACRYPTv10

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: 2026-08-20T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential file encryption activities characteristic of ransomware or data exfiltration attempts by analyzing specific YARA signatures within Azure Sentinel workloads. Proactively hunting for these patterns allows the SOC team to uncover early-stage adversary behaviors that may not trigger high-severity alerts, enabling faster containment before widespread system impact occurs.

YARA Rule

rule FACRYPTv10
{
      meta:
		author="malware-lu"
strings:
		$a0 = { B9 [2] B3 ?? 33 D2 BE [2] 8B FE AC 32 C3 AA 49 43 32 E4 03 D0 E3 }

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 FACRYPTv10 detection rule, including recommended filters and exclusions tailored for an enterprise environment:

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