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XtremeRAT Identifying Strings

yara LOW Yara-Rules
backdoorcommunity
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: 2026-07-14T23:00:00Z · Confidence: medium

Hunt Hypothesis

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.

YARA Rule

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
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

False Positive Guidance

Here are 4 specific false positive scenarios for the XtremeRAT Identifying Strings detection rule in an enterprise environment, along with suggested filters or exclusions:

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