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gholeeV1

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 hypothesis posits that adversaries are deploying the specific malware signature identified by the gholeeV1 YARA rule to establish initial footholds within Azure workloads. Proactive hunting is essential because this low-severity indicator may represent early-stage reconnaissance or a precursor to more critical lateral movements that automated alerts alone might overlook in the absence of defined MITRE techniques.

YARA Rule

rule gholeeV1
{
    meta:
	 Author = "@GelosSnake"
    	 Date = "2014/08"
    	 Description = "Gholee first discovered variant "
	 Reference = "http://securityaffairs.co/wordpress/28170/cyber-crime/gholee-malware.html" 

    strings:
    	 $a = "sandbox_avg10_vc9_SP1_2011"
    	 $b = "gholee"

    condition:
    	 all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the gholeeV1 detection rule in an enterprise environment, including suggested filters and exclusions:

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