This hunt hypothesis targets adversaries leveraging specific English-language text patterns identified by the DEFv100Engbartxt YARA signature to detect potential data exfiltration or command-and-control communication within Azure Sentinel. Proactive hunting for this low-severity indicator is essential to uncover subtle, early-stage threats that may evade standard alerting thresholds and prevent lateral movement before escalation occurs.
rule DEFv100Engbartxt
{
meta:
author="malware-lu"
strings:
$a0 = { BE ?? 01 40 00 6A ?? 59 80 7E 07 00 74 11 8B 46 0C 05 00 00 40 00 8B 56 10 30 10 40 4A 75 FA 83 C6 28 E2 E4 68 [2] 40 00 C3 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 }
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 3-5 specific false positive scenarios for the DEFv100Engbartxt detection rule, including suggested filters and exclusions:
Scenario: Microsoft Defender Antivirus Signature Updates
MpCmdG.exe process or associated update files when Microsoft Defender downloads new engine definitions. These updates often contain compressed binary blobs that match the “Engbartxt” signature pattern due to similar header structures or embedded text strings.C:\Program Files\Windows Defender\MpCmdG.exe and exclude any process tree initiated by MsMpSvc service on Windows Server 2016+ machines.Scenario: Scheduled PowerShell Script Execution via Task Scheduler
powershell.exe. If the script dynamically generates temporary text files or reads configuration manifests containing specific English text patterns, it triggers the rule. This is common in environments using tools like SCCM or Ansible.svchost.exe (specifically the Schedule service) and the command line contains keywords such as “TaskScheduler” or specific script names like InventoryCheck.ps1.Scenario: Third-Party Backup Agent File Scanning