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Skeleton Key Patcher from Dell SecureWorks Report http://goo.gl/aAk3lN

yara HIGH 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: 2026-06-29T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversaries leveraging the “Skeleton Key” technique to establish persistent, stealthy access by patching authentication mechanisms across the environment. Proactively hunting for this behavior in Azure Sentinel is critical because it allows the SOC team to identify and remediate unauthorized credential modifications before attackers can leverage them for lateral movement or data exfiltration.

YARA Rule

rule skeleton_key_patcher
{
	meta:
		description = "Skeleton Key Patcher from Dell SecureWorks Report http://goo.gl/aAk3lN"
		author = "Dell SecureWorks Counter Threat Unit"
		reference = "http://goo.gl/aAk3lN"
		date = "2015/01/13"
		score = 70
	strings:
		$target_process = "lsass.exe" wide
		$dll1 = "cryptdll.dll"
		$dll2 = "samsrv.dll"

		$name = "HookDC.dll"

		$patched1 = "CDLocateCSystem"
		$patched2 = "SamIRetrievePrimaryCredentials"
		$patched3 = "SamIRetrieveMultiplePrimaryCredentials"
	condition:
		all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 7 string patterns in its detection logic.

References

False Positive Guidance

Based on the “Skeleton Key” detection logic (which monitors for unauthorized or unexpected modifications to authentication mechanisms, such as adding new user accounts with elevated privileges or modifying existing account attributes), here are 4 specific false positive scenarios in a legitimate enterprise environment:

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