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AntiVirusVaccinev103

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: 2026-08-24T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential anti-virus evasion or vaccination behaviors where adversaries modify security tools to prevent malware analysis and execution. SOC teams should proactively hunt for this activity in Azure Sentinel to uncover stealthy threats that bypass standard signature-based defenses by manipulating antivirus components before malicious payloads are fully deployed.

YARA Rule

rule AntiVirusVaccinev103
{
      meta:
		author="malware-lu"
strings:
		$a0 = { FA 33 DB B9 [2] 0E 1F 33 F6 FC AD 35 [2] 03 D8 E2 }

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 AntiVirusVaccinev103 detection rule, along with recommended filters and exclusions:

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