This hypothesis posits that adversaries are deploying XtremeRAT malware to establish persistent remote access and exfiltrate sensitive data via unique identifying strings within process execution logs. Proactively hunting for these specific artifacts in Azure Sentinel is critical because early detection of this low-severity indicator can reveal stealthy command-and-control communications before they escalate into significant data breaches.
rule XtremeRATStrings : XtremeRAT Family
{
meta:
description = "XtremeRAT Identifying Strings"
author = "Seth Hardy"
last_modified = "2014-07-09"
strings:
$ = "dqsaazere"
$ = "-GCCLIBCYGMING-EH-TDM1-SJLJ-GTHR-MINGW32"
condition:
all of them
}
This YARA rule can be deployed in the following contexts:
Here are 4 specific false positive scenarios for the XtremeRAT Identifying Strings detection rule in an enterprise environment, along with suggested filters or exclusions:
Scenario: Automated Patch Deployment via SCCM/Intune
ccmexec.exe service account or filter for parent processes named Microsoft.Windows.PowerShell.ISE. Additionally, whitelist file paths located within the C:\Windows\CCM\Logs or C:\Program Files (x86)\Microsoft Intune Agent directories.Scenario: Scheduled Backup Verification Jobs
VeeamAgent.exe or cvBackupEngine.exe. Narrow the scope to exclude events occurring between 02:00 and 04:00 UTC (typical backup window) where the source file path matches the organization’s designated backup repository location.Scenario: Software Installation via Chocolatey