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BlueBanana

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: 2026-07-13T23:00:01Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential adversary activity involving the execution of the BlueBanana payload, which may indicate early-stage reconnaissance or a benign tool being leveraged for lateral movement within the environment. Proactively hunting for this signal in Azure Sentinel allows the SOC team to validate its context and distinguish between legitimate operations and subtle indicators of compromise before they escalate into higher-severity incidents.

YARA Rule

rule BlueBanana : RAT
{
	meta:
		author = " Kevin Breen <kevin@techanarchy.net>"
		date = "2014/04"
		ref = "http://malwareconfig.com/stats/BlueBanana"
		maltype = "Remote Access Trojan"
		filetype = "Java"

	strings:
		$meta = "META-INF"
		$conf = "config.txt"
		$a = "a/a/a/a/f.class"
		$b = "a/a/a/a/l.class"
		$c = "a/a/a/b/q.class"
		$d = "a/a/a/b/v.class"

		
	condition:
		all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 6 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the BlueBanana 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