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RomeoWhiskey Two

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: 2026-07-05T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the execution of specific malicious payloads defined by the RomeoWhiskey_Two YARA signature, indicating potential early-stage adversary activity such as dropper or initial access mechanisms. Proactively hunting for this behavior in Azure Sentinel is critical to uncover low-severity indicators that may have been missed by automated alerts, allowing the SOC team to validate threat presence before it escalates into a full-blown incident.

YARA Rule

rule RomeoWhiskey_Two
{
	meta:
		copyright = "2015 Novetta Solutions"
		author = "Novetta Threat Research & Interdiction Group - [email protected]"
		Source = "a8d88714f0bc643e76163d1b8972565e78a159292d45a8218d0ad0754c8f561d"

	strings:
	/*
		FF 15 78 A2 00 10  call    GetTickCount_9
		66 8B C8           mov     cx, ax

		// the next op is a mov or a push/pop depending on the code version
		53                 push    ebx
		8F 45 F4           pop     dword ptr [ebp-0Ch]
		//or
		89 5D F4           mov     dword ptr [ebp+var_C], ebx
		
		
		66 81 F1 40 1C     xor     cx, 1C40h
		66 D1 E9           shr     cx, 1
		81 C1 E0 56 00 00  add     ecx, 56E0h
		0F B7 C9           movzx   ecx, cx
		0F B7 C0           movzx   eax, ax
		81 F1 30 32 00 00  xor     ecx, 3230h
		C1 E0 10           shl     eax, 10h
		0B C8              or      ecx, eax
	*/

	$a = {FF 15 [4] 66 8B C8 [3-4] 	66 81 F1 40 1C 	66 D1 E9 81 C1 E0 56 00 00 0F B7 C9 0F B7 C0 81 F1 30 32 00 00 	C1 E0 10 0B C8 }

	condition:
		$a in ((pe.sections[pe.section_index(".text")].raw_data_offset)..(pe.sections[pe.section_index(".text")].raw_data_offset + pe.sections[pe.section_index(".text")].raw_data_size))
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 1 string patterns in its detection logic.

False Positive Guidance

Here are 5 specific false positive scenarios for the RomeoWhiskey Two detection rule in an enterprise environment, including suggested filters and exclusions:

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