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Auto-generated rule on file aolipsniffer.exe

yara LOW Yara-Rules
backdoorcommunity
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: 2026-07-27T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets potential reconnaissance or initial access activities where adversaries execute the AOL IP Sniffer utility to map network topology and identify internal hosts. Proactively hunting for this behavior in Azure Sentinel is essential because legitimate use of aolipsniffer.exe can be masked by threat actors to establish a foothold, making early detection critical before lateral movement occurs.

YARA Rule

rule aolipsniffer {
	meta:
		description = "Auto-generated rule on file aolipsniffer.exe"
		author = "yarGen Yara Rule Generator by Florian Roth"
		hash = "51565754ea43d2d57b712d9f0a3e62b8"
	strings:
		$s0 = "C:\\Program Files\\Microsoft Visual Studio\\VB98\\VB6.OLB"
		$s1 = "dwGetAddressForObject"
		$s2 = "Color Transfer Settings"
		$s3 = "FX Global Lighting Angle"
		$s4 = "Version compatibility info"
		$s5 = "New Windows Thumbnail"
		$s6 = "Layer ID Generator Base"
		$s7 = "Color Halftone Settings"
		$s8 = "C:\\WINDOWS\\SYSTEM\\MSWINSCK.oca"
	condition:
		all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 9 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the aolipsniffer.exe detection rule in an enterprise environment, along with suggested filters:

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