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ClientMesh

yara LOW Yara-Rules
communitytorct
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: 2026-07-13T23:00:01Z · Confidence: medium

Hunt Hypothesis

This hypothesis posits that adversaries are utilizing the ClientMesh framework to establish persistent command-and-control channels or execute lateral movement within the network. Proactively hunting for this behavior in Azure Sentinel is critical to identify early-stage reconnaissance activities and validate legitimate usage before potential threats escalate, despite the current low severity classification.

YARA Rule

rule ClientMesh : RAT
{
    meta:
        author = "Kevin Breen <kevin@techanarchy.net>"
        date = "2014/06"
        ref = "http://malwareconfig.com/stats/ClientMesh"
        family = "torct"

    strings:
        $string1 = "machinedetails"
        $string2 = "MySettings"
        $string3 = "sendftppasswords"
        $string4 = "sendbrowserpasswords"
        $string5 = "arma2keyMass"
        $string6 = "keylogger"
        $conf = {00 00 00 00 00 00 00 00 00 7E}

    condition:
        all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 7 string patterns in its detection logic.

False Positive Guidance

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

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