Kerberos is a widely used network authentication protocol that provides strong identity verification for users and services, especially in Microsoft Active Directory environments common in enterprises. This research presents a method to detect Kerberos attacks by analyzing network traffic patterns and creating signatures for the Suricata Intrusion Detection System (IDS). The approach focuses on identifying anomalies and known attack behaviors within Kerberos protocol exchanges, such as ticket requests and authentications, which attackers manipulate to gain unauthorized access or escalate privileges. By developing specific Suricata signatures, the research enables automated detection of suspicious Kerberos activity, facilitating faster incident response and threat hunting. Although no new vulnerabilities or exploits are disclosed, the work addresses the challenge of detecting sophisticated Kerberos attacks that often evade traditional security controls. The research is shared on Reddit's NetSec community and linked externally, indicating early-stage dissemination and community review. No known exploits in the wild are reported, and the severity is assessed as medium, reflecting the importance of detection improvements rather than an immediate exploit threat. This contribution is valuable for organizations aiming to enhance visibility into Kerberos-related threats and improve their network defense capabilities.

For European organizations, the improved detection of Kerberos attacks can significantly enhance security monitoring and reduce the risk of undetected credential theft or lateral movement within networks. Since Kerberos is integral to Microsoft Active Directory, which is widely deployed across Europe, the ability to detect attacks early helps prevent data breaches, unauthorized access, and potential disruption of critical services. Enhanced detection reduces dwell time of attackers and supports compliance with regulatory requirements such as GDPR by protecting sensitive personal data. However, since this research does not introduce new vulnerabilities or active exploits, the immediate impact is limited to improving defensive measures rather than mitigating an ongoing threat. Organizations that do not currently monitor Kerberos traffic or lack advanced IDS capabilities may face higher risk until such detection tools are implemented.

European organizations should integrate the newly developed Suricata IDS signatures into their existing network security monitoring infrastructure to detect Kerberos attack patterns effectively. Security teams should perform regular network traffic analysis focusing on Kerberos protocol exchanges and correlate alerts with other security events to identify potential compromises. It is advisable to update IDS rulesets frequently and participate in threat intelligence sharing communities to stay informed of emerging Kerberos attack techniques. Additionally, organizations should enforce strong Kerberos-related security best practices, such as limiting service account privileges, implementing multi-factor authentication where possible, and monitoring for unusual ticket-granting ticket (TGT) requests or ticket usage patterns. Conducting regular security audits and penetration testing focused on Kerberos can also help identify weaknesses. Finally, training security analysts to understand Kerberos protocol intricacies and attack indicators will improve detection and response capabilities.