This hunt hypothesis detects potential endpoint protection evasion or false positive scenarios where a specific YARA signature identifies anomalous code execution patterns that may indicate stealthy adversary activity. A SOC team should proactively investigate these signals in Azure Sentinel to distinguish between benign operational noise and early-stage threats attempting to bypass standard security controls through subtle behavioral deviations.
rule AHTeamEPProtector03fakeZCode101FEUERRADER
{
meta:
author="malware-lu"
strings:
$a0 = { 90 [46] 90 FF E0 E9 12 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E9 FB FF FF FF C3 68 00 00 00 00 64 FF 35 }
condition:
$a0 at pe.entry_point
}
This YARA rule can be deployed in the following contexts:
This rule contains 1 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the detection rule AHTeamEPProtector03fakeZCode101FEUERRADER, along with recommended filters and exclusions:
Scenario: Scheduled Antivirus Database Updates
C:\Program Files\CrowdStrike\csfalcon.exe or MsMpEng.exe) running under the system account. Add a time-based filter to exclude alerts generated between 02:00 and 05:00 local time for these specific processes.Scenario: Automated Patch Deployment via SCCM/Intune
%TEMP% directory. The extraction utility often generates file hashes and execution patterns that match the “FEUERRADER” signature logic of the rule.ccmsetup.exe, IntuneManagementExtension.exe, or wuauserv.exe. Additionally, add a path exclusion for temporary directories such as C:\Windows\SoftwareDistribution and C:\Users\<User>\AppData\Local\Temp to prevent noise from transient extraction activities.Scenario: Enterprise Backup Agent Scans