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Win32FertgerHavex

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: 2026-07-13T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries executing Havex malware variants that leverage specific file integrity patterns to establish persistence and command-and-control channels within Windows environments. Proactive hunting for this behavior in Azure Sentinel is critical because early detection of these low-severity indicators can reveal stealthy lateral movement before the malware escalates to a high-impact incident.

YARA Rule

rule Win32FertgerHavex
{
    meta:
        Author      = "BAE Systems"
        Date        = "2014/06/23"
        Description = "Rule for identifying Fertger version of HAVEX"
        Reference   = "www.f-secure.com/weblog/archives/00002718.html"

    strings:
        $mz = "MZ"
        $a1="\\\\.\\pipe\\mypipe-f" wide
        $a2="\\\\.\\pipe\\mypipe-h" wide
        $a3="\\qln.dbx" wide
        $a4="*.yls" wide
        $a5="\\*.xmd" wide
        $a6="fertger" wide
        $a7="havex"
    
    condition:
        $mz at 0 and 3 of ($a*) 
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 8 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the Win32FertgerHavex detection rule in an enterprise environment, including suggested filters and exclusions:

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/RAT_Havex.yar