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CyberGate

yara LOW Yara-Rules
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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: 2026-07-12T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection targets adversaries utilizing the CyberGate framework to execute specific file-based attacks within the Azure Sentinel environment. Proactive hunting is essential because this low-severity indicator often represents early-stage reconnaissance or lateral movement that may be missed by standard alerting thresholds until it escalates into a critical incident.

YARA Rule

rule CyberGate : RAT
{

	meta:
		author = " Kevin Breen <[email protected]>"
		date = "2014/04"
		ref = "http://malwareconfig.com/stats/CyberGate"
		maltype = "Remote Access Trojan"
		filetype = "exe"

	strings:
		$string1 = {23 23 23 23 40 23 23 23 23 E8 EE E9 F9 23 23 23 23 40 23 23 23 23}
		$string2 = {23 23 23 23 40 23 23 23 23 FA FD F0 EF F9 23 23 23 23 40 23 23 23 23}
		$string3 = "EditSvr"
		$string4 = "TLoader"
		$string5 = "Stroks"
		$string6 = "####@####"
		$res1 = "XX-XX-XX-XX"
		$res2 = "CG-CG-CG-CG"

	condition:
		all of ($string*) and any of ($res*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 8 string patterns in its detection logic.

False Positive Guidance

Here are four specific false positive scenarios for the CyberGate YARA detection rule in an enterprise environment, including suggested filters or exclusions:

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