skills/conducting-pass-the-ticket-attack/SKILL.md
Pass-the-Ticket (PtT) is a lateral movement technique that uses stolen Kerberos tickets (TGT or TGS) to authenticate to services without knowing the user's password. By extracting Kerberos tickets fro
npx skillsauth add mukul975/anthropic-cybersecurity-skills conducting-pass-the-ticket-attackInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.
Pass-the-Ticket (PtT) is a lateral movement technique that uses stolen Kerberos tickets (TGT or TGS) to authenticate to services without knowing the user's password. By extracting Kerberos tickets from memory (LSASS) on a compromised host, an attacker can inject those tickets into their own session to impersonate the ticket owner and access resources as that user.
| Tool | Purpose | Command | |------|---------|---------| | Mimikatz | Ticket export/import | sekurlsa::tickets /export, kerberos::ptt | | Rubeus | Ticket dumping and injection | dump, ptt, tgtdeleg | | Impacket ticketConverter | Convert between formats | ticketConverter.py ticket.kirbi ticket.ccache | | Impacket psexec/smbexec | Remote execution with ticket | KRB5CCNAME=ticket.ccache psexec.py |
data-ai
Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
testing
Identifies lateral movement techniques in enterprise networks by analyzing authentication logs, network flows, SMB traffic, and RDP sessions using Zeek, Velociraptor, and SIEM correlation rules to detect attackers moving between systems.
tools
Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.
development
Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.