detecting-golden-ticket-forgery

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-golden-ticket-forgery
0 commentsdiscussion
summary

Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 for RC4 encryption downgrades (0x17), abnormal ticket lifetimes, and krbtgt account anomalies in Splunk and Elastic SIEM

skill.md
name
detecting-golden-ticket-forgery
description
Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 for RC4 encryption downgrades (0x17), abnormal ticket lifetimes, and krbtgt account anomalies in Splunk and Elastic SIEM
domain
cybersecurity
subdomain
threat-detection
tags
- golden-ticket - kerberos - active-directory - mimikatz - splunk - credential-theft - windows-security
version
'1.0'
author
mahipal
license
Apache-2.0
d3fend_techniques
- Token Binding - Restore Access - Reissue Credential - Decoy User Credential - Authentication Cache Invalidation
nist_csf
- DE.CM-01 - DE.AE-02 - DE.AE-06 - ID.RA-05

Detecting Golden Ticket Forgery

Overview

A Golden Ticket attack (MITRE ATT&CK T1558.001) involves forging a Kerberos Ticket Granting Ticket (TGT) using the krbtgt account NTLM hash, granting unrestricted access to any service in the Active Directory domain. This skill detects Golden Ticket usage by analyzing Event ID 4769 for RC4 encryption type (0x17) in environments enforcing AES, identifying tickets with abnormal lifetimes exceeding domain policy, correlating TGS requests with missing corresponding TGT requests (Event ID 4768), and detecting krbtgt password age anomalies.

When to Use

  • When investigating security incidents that require detecting golden ticket forgery
  • 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 Kerberos audit logging enabled
  • Splunk or Elastic SIEM ingesting Windows Security event logs
  • Python 3.8+ for offline event log analysis
  • Knowledge of domain Kerberos encryption policy (AES vs RC4)

Steps

  1. Audit domain Kerberos encryption policy to establish AES-only baseline
  2. Forward Event IDs 4768 and 4769 to SIEM platform
  3. Detect RC4 (0x17) encryption in TGS requests where AES is enforced
  4. Identify TGS requests without corresponding TGT requests (forged ticket indicator)
  5. Alert on ticket lifetimes exceeding MaxTicketAge domain policy
  6. Monitor krbtgt account password age and last reset date
  7. Correlate findings with host/user context for risk scoring

Expected Output

JSON report with Golden Ticket indicators including RC4 downgrades, orphaned TGS requests, abnormal ticket lifetimes, and risk-scored alerts with MITRE ATT&CK technique mapping.

how to use detecting-golden-ticket-forgery

How to use detecting-golden-ticket-forgery on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add detecting-golden-ticket-forgery
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-golden-ticket-forgery

The skills CLI fetches detecting-golden-ticket-forgery from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/detecting-golden-ticket-forgery

Reload or restart Cursor to activate detecting-golden-ticket-forgery. Access the skill through slash commands (e.g., /detecting-golden-ticket-forgery) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.661 reviews
  • William Jackson· Dec 16, 2024

    detecting-golden-ticket-forgery reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Naina Jain· Dec 4, 2024

    Registry listing for detecting-golden-ticket-forgery matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kwame Martin· Nov 23, 2024

    We added detecting-golden-ticket-forgery from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Meera Singh· Nov 23, 2024

    Useful defaults in detecting-golden-ticket-forgery — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aarav Verma· Nov 19, 2024

    detecting-golden-ticket-forgery fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Noor Wang· Nov 7, 2024

    I recommend detecting-golden-ticket-forgery for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aarav Martinez· Nov 3, 2024

    Solid pick for teams standardizing on skills: detecting-golden-ticket-forgery is focused, and the summary matches what you get after install.

  • Ishan Agarwal· Oct 26, 2024

    Useful defaults in detecting-golden-ticket-forgery — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aarav Smith· Oct 22, 2024

    detecting-golden-ticket-forgery has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kwame Sharma· Oct 14, 2024

    detecting-golden-ticket-forgery fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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