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Pass-the-Ticket (PtT) is a critical post-exploitation technique used in red teaming and offensive security assessments. It allows an attacker to move laterally across a network by utilizing stolen Kerberos tickets (TGT or TGS) without ever needing the user's password. This skill outlines the process of dumping tickets from memory (e.g., LSASS) and injecting them into a current session to impersonate a high-privilege user for access to sensitive resources.

This skill provides comprehensive detection methods for credential dumping techniques, a critical post-exploitation phase in cyber attacks. It targets the extraction of sensitive credentials from LSASS memory, SAM registry hives, and NTDS.dit using advanced security visibility. Detection relies on analyzing Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and complex SIEM correlation rules, making it essential for SOC analysts and threat hunters investigating advanced persistent threats (APTs).

This guide details advanced threat hunting techniques to proactively detect Mimikatz execution. It focuses on identifying command-line patterns, unauthorized access to LSASS memory, binary indicators, and known credential dumping techniques (e.g., DCSync, Golden Tickets). Ideal for security analysts, threat hunters, and incident response teams during proactive assessments or active compromise investigation.

A comprehensive guide and set of detection rules for identifying OS credential dumping techniques (MITRE T1003). It leverages EDR telemetry, Sysmon process access monitoring, and Windows security event correlation to detect attacks targeting LSASS memory, SAM databases, and NTDS.dit files. Essential for proactive threat hunting and incident response.

This skill provides comprehensive guidance on detecting post-exploitation credential dumping activities, such as LSASS memory access, SAM registry hive extraction, and NTDS.dit theft. It utilizes advanced log sources, including Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and SIEM correlation rules, to identify suspicious process behaviors and malicious tool usage, mapping these detections to MITRE ATT&CK techniques.