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.
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*)
}
This YARA rule can be deployed in the following contexts:
This rule contains 8 string patterns in its detection logic.
Here are 5 specific false positive scenarios for the Win32FertgerHavex detection rule in an enterprise environment, including suggested filters and exclusions:
Endpoint Protection Engine Updates
C:\ProgramData directory.CrowdStrike.exe, MsMpEng.exe) and the file path contains standard update directories like \Updates\ or \Temp\.Enterprise Patch Management Deployments
.msi or .cab files often triggers the same file creation and registry modification patterns that the Havex YARA rule monitors for initial infection vectors.CommandLine argument containing specific deployment identifiers (e.g., --deployment-id, /packageid) and restrict the scope to known administrative accounts running during maintenance windows (e.g., 02:00–04:00 UTC).Automated Backup and Archiving Tasks