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SmallNet

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: 2026-07-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hypothesis posits that adversaries are utilizing small network traffic patterns to evade standard threshold-based detection while establishing covert communication channels within the environment. A proactive hunt is essential in Azure Sentinel to correlate these subtle signals across distributed logs, ensuring early identification of stealthy reconnaissance or command-and-control activities before they escalate into significant incidents.

YARA Rule

rule SmallNet : RAT
{
	meta:
		author = " Kevin Breen <[email protected]>"
		date = "2014/04"
		ref = "http://malwareconfig.com/stats/SmallNet"
		maltype = "Remote Access Trojan"
		filetype = "exe"
		
	strings:
		$split1 = "!!<3SAFIA<3!!"
		$split2 = "!!ElMattadorDz!!"
		$a1 = "stub_2.Properties"
		$a2 = "stub.exe" wide
		$a3 = "get_CurrentDomain"

	condition:
		($split1 or $split2) and (all of ($a*))
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 5 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the SmallNet detection rule in an enterprise environment, along with suggested filters and exclusions:

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