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mimikatz

yara CRITICAL Yara-Rules
communitycredential-theft
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: 2026-07-31T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection rule identifies adversaries leveraging Mimikatz to extract credentials from memory, a common tactic for lateral movement and privilege escalation within Azure environments. Proactive hunting is essential because successful credential theft enables attackers to bypass authentication controls and maintain persistent access across the tenant without triggering standard login alerts.

YARA Rule

rule mimikatz
{
	meta:
		description		= "mimikatz"
		author			= "Benjamin DELPY (gentilkiwi)"
		tool_author		= "Benjamin DELPY (gentilkiwi)"
      score          = 80
	strings:
		$exe_x86_1		= { 89 71 04 89 [0-3] 30 8d 04 bd }
		$exe_x86_2		= { 89 79 04 89 [0-3] 38 8d 04 b5 }

		$exe_x64_1		= { 4c 03 d8 49 [0-3] 8b 03 48 89 }
		$exe_x64_2		= { 4c 8b df 49 [0-3] c1 e3 04 48 [0-3] 8b cb 4c 03 [0-3] d8 }

		$dll_1			= { c7 0? 00 00 01 00 [4-14] c7 0? 01 00 00 00 }
		$dll_2			= { c7 0? 10 02 00 00 ?? 89 4? }

		$sys_x86		= { a0 00 00 00 24 02 00 00 40 00 00 00 [0-4] b8 00 00 00 6c 02 00 00 40 00 00 00 }
		$sys_x64		= { 88 01 00 00 3c 04 00 00 40 00 00 00 [0-4] e8 02 00 00 f8 02 00 00 40 00 00 00 }

	condition:
		(all of ($exe_x86_*)) or (all of ($exe_x64_*)) or (all of ($dll_*)) or (any of ($sys_*))
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 8 string patterns in its detection logic.

False Positive Guidance

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

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