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Frusionbiff

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: 2026-08-22T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential malicious activity associated with the “Frusionbiff” signature as defined by its specific YARA rule, which may indicate early-stage file-based threats or known malware variants within the environment. Proactively hunting for this behavior in Azure Sentinel allows the SOC team to validate low-severity alerts against actual threat intelligence and uncover hidden instances of Frusionbiff that might otherwise be missed during routine monitoring.

YARA Rule

rule Frusionbiff
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 83 EC 0C 53 55 56 57 68 04 01 00 00 C7 44 24 14 }

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 Frusionbiff 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