本文へ移動
cccskills
無料GitHub で公開

detecting-pass-the-ticket-attacks

Detect Kerberos Pass-the-Ticket (PtT) attacks by analyzing Windows Event IDs 4768, 4769, and 4771 for anomalous ticket usage patterns in Splunk and Elastic SIEM

インストール方法を見る

含まれるファイル(3)

  • SKILL.md2.6 KB
  • references/api-reference.md2.6 KB
  • scripts/agent.py8.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Detecting Pass-the-Ticket Attacks

Overview

Pass-the-Ticket (PtT) is a credential theft technique (MITRE ATT&CK T1550.003) where adversaries steal Kerberos tickets (TGT or TGS) from one system and replay them on another to authenticate without knowing the user's password. This skill teaches detection of PtT attacks by correlating Windows Security Event IDs 4768 (TGT request), 4769 (TGS request), and 4771 (pre-authentication failure) for anomalies such as ticket reuse across different hosts, RC4 encryption downgrades, and unusual service ticket request volumes.

When to Use

  • When investigating security incidents that require detecting pass the ticket attacks
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Windows Domain Controller with advanced audit policy enabled (Audit Kerberos Authentication Service, Audit Kerberos Service Ticket Operations)
  • Splunk or Elastic SIEM ingesting Windows Security event logs
  • Sysmon deployed on endpoints for supplementary process telemetry
  • Python 3.8+ with requests library

Steps

  1. Enable Kerberos audit logging on Domain Controllers via Group Policy
  2. Forward Event IDs 4768, 4769, and 4771 to SIEM platform
  3. Deploy detection rules for RC4 encryption downgrade (TicketEncryptionType 0x17)
  4. Create correlation rule for ticket reuse across multiple source IPs
  5. Build baseline of normal TGS request volume per user/host
  6. Alert on standard deviation anomalies in ticket request patterns
  7. Investigate flagged events with enrichment from Active Directory

Expected Output

JSON report containing detected PtT indicators including anomalous ticket requests, RC4 downgrades, cross-host ticket reuse events, and risk-scored users with MITRE ATT&CK technique mapping.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Extract DPAPI-protected secrets such as credentials and browser data offline and online.

日本語の概要は準備中です。原文の説明を表示しています。

andycungkrinx91/konoha92026年10月9日 更新

Audit, detect, and remediate Shadow Credentials misconfigurations on msDS-KeyCredentialLink in Active Directory. Focuses on access-controls, monitoring Event ID 5136, and credential-management hygiene.

日本語の概要は準備中です。原文の説明を表示しています。

andycungkrinx91/konoha92026年10月9日 更新

Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.

日本語の概要は準備中です。原文の説明を表示しています。

andycungkrinx91/konoha92026年10月9日 更新

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

日本語の概要は準備中です。原文の説明を表示しています。

andycungkrinx91/konoha92026年10月9日 更新

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

日本語の概要は準備中です。原文の説明を表示しています。

andycungkrinx91/konoha92026年10月9日 更新

Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.

日本語の概要は準備中です。原文の説明を表示しています。

andycungkrinx91/konoha92026年10月9日 更新

andycungkrinx91 のスキルをすべて見る

このスキルの問題を報告する