This hunt targets the initial execution and persistence behaviors of the Zegost Trojan to identify early-stage compromise indicators that may be masked by its low severity classification. Proactively hunting for this threat in Azure Sentinel is critical to validate detection efficacy across diverse workloads and prevent potential lateral movement before the adversary establishes deeper footholds within the environment.
rule Zegost : Trojan
{
meta:
author="Kevin Falcoz"
date="10/06/2013"
description="Zegost Trojan"
strings:
$signature1={39 2F 66 33 30 4C 69 35 75 62 4F 35 44 4E 41 44 44 78 47 38 73 37 36 32 74 71 59 3D}
$signature2={00 BA DA 22 51 42 6F 6D 65 00}
condition:
$signature1 and $signature2
}
This YARA rule can be deployed in the following contexts:
This rule contains 2 string patterns in its detection logic.
Here are 4 specific false positive scenarios for the Zegost Trojan detection rule in an enterprise environment, including suggested filters and exclusions:
Scenario: Automated Software Updates via Windows Update or SCCM
WindowsUpdate service pushes critical patches to endpoints, it may trigger the rule due to the creation of temporary files in %TEMP%, network connections to known update servers, and execution of signed binaries (wuauclt.exe or ccmexec.exe) that match the Trojan’s behavioral signature.C:\Program Files\Microsoft Configuration Manager\bin\x64\ccmexec.exe) and Windows Update components (%SystemRoot%\SoftwareDistribution). Additionally, filter out network traffic destined for Microsoft update content delivery networks (CDNs) if the detection includes network flow analysis.Scenario: Scheduled Antivirus Scans by Enterprise EDR Solutions
C:\Program Files\CrowdStrike\FalconSensor\CSFalconService.exe or MsMpEng.exe). Implement a time-based filter to suppress these alerts during known maintenance windows (e.g., 02:00 – 04