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BJFntv13

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: 2026-09-07T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hypothesis targets the execution of specific binary artifacts identified by the BJFntv13 YARA signature, which may indicate the presence of low-severity malware, cryptominers, or initial access tools that evade standard behavioral detections. Proactively hunting for these signatures in Azure Sentinel allows the SOC team to identify dormant or stealthy threats early, reducing the risk of lateral movement or data exfiltration before they escalate in severity.

YARA Rule

rule BJFntv13
{
      meta:
		author="malware-lu"
strings:
		$a0 = { EB ?? 3A [2] 1E EB ?? CD 20 9C EB ?? CD 20 EB ?? CD 20 60 EB }

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

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