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RomeoEcho

yara LOW Yara-Rules
community
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: 2026-07-05T23:00:00Z · Confidence: medium

Hunt Hypothesis

The RomeoEcho detection identifies adversary behavior characterized by specific code patterns that may indicate early-stage reconnaissance or benign automation anomalies within the environment. Proactively hunting for this signature in Azure Sentinel allows the SOC team to validate these occurrences against known baselines and distinguish potential low-fidelity threats from normal operational noise before they escalate.

YARA Rule

rule RomeoEcho
{
	meta:
		copyright = "2015 Novetta Solutions"
		author = "Novetta Threat Research & Interdiction Group - [email protected]"

	strings:
		$ = "%s %-20s %10lu %s"
		$ = "_quit"
		$ = "_exe"
		$ = "_put"
		$ = "_get"

	condition:
		all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

False Positive Guidance

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

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/Operation_Blockbuster/RomeoEcho.yara