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Rule to detect KirBi ticket for Mimikatz by Benjamin Delpy with Contribution of Didier Stevens

Low
Unknowntlp:white
Published: Sat Aug 13 2016 (08/13/2016, 00:00:00 UTC)
Source: CIRCL
Vendor/Project: tlp
Product: white

Description

Rule to detect KirBi ticket for Mimikatz by Benjamin Delpy with Contribution of Didier Stevens

AI-Powered Analysis

AILast updated: 07/02/2025, 20:24:47 UTC

Technical Analysis

The provided information describes a detection rule designed to identify KirBi tickets generated by the Mimikatz tool, developed by Benjamin Delpy with contributions from Didier Stevens. Mimikatz is a well-known post-exploitation tool used by attackers to extract credentials, including Kerberos tickets, from Windows systems. KirBi tickets are Kerberos Ticket Granting Tickets (TGTs) or service tickets that can be stolen or forged to enable lateral movement and privilege escalation within a network. The detection rule aims to identify the presence of such tickets, which are indicative of credential theft or misuse. However, the information does not describe a new vulnerability or exploit but rather a detection capability for an existing attack technique. The threat level is indicated as low, and there are no known exploits in the wild associated with this specific detection rule. The rule itself is a defensive measure rather than a direct threat. The technical details mention a threat level of 4 and an analysis rating of 2, but these values lack context and do not correspond to standard severity metrics. Overall, this entry represents a security detection rule for a known attack technique involving Mimikatz and Kerberos ticket manipulation rather than a novel security threat or vulnerability.

Potential Impact

While the detection rule itself is not a threat, the underlying technique it targets—Kerberos ticket theft and misuse via Mimikatz—poses significant risks to organizations. If attackers successfully use Mimikatz to extract KirBi tickets, they can impersonate legitimate users, escalate privileges, and move laterally across networks undetected. For European organizations, this could lead to unauthorized access to sensitive data, disruption of services, and potential compliance violations under regulations such as GDPR. The impact is particularly critical in environments relying heavily on Active Directory and Kerberos authentication, which is common across European enterprises. However, since this is a detection rule, its presence helps organizations identify and respond to such attacks more effectively, potentially reducing the impact of credential theft incidents.

Mitigation Recommendations

To mitigate risks associated with Mimikatz and KirBi ticket misuse, European organizations should implement the following specific measures beyond generic advice: 1) Deploy and regularly update detection rules like the one described to monitor for suspicious Kerberos ticket activity. 2) Enforce strict privilege management, limiting administrative rights and using tiered access models to reduce the impact of credential theft. 3) Implement strong endpoint protection with behavioral analytics to detect post-exploitation tools. 4) Enable and monitor Windows Event Logs related to Kerberos authentication and ticket requests, integrating logs into a centralized SIEM for real-time analysis. 5) Use Microsoft’s Protected Users group and Credential Guard features to harden Kerberos ticket security. 6) Conduct regular red team exercises and penetration tests to evaluate the effectiveness of detection and response capabilities related to credential theft. 7) Educate IT staff on recognizing signs of Kerberos ticket abuse and responding promptly to alerts generated by detection rules.

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Technical Details

Threat Level
4
Analysis
2
Original Timestamp
1471358862

Threat ID: 682acdbdbbaf20d303f0b753

Added to database: 5/19/2025, 6:20:45 AM

Last enriched: 7/2/2025, 8:24:47 PM

Last updated: 7/31/2025, 9:26:50 AM

Views: 8

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