detecting-golden-ticket-attacks-in-kerberos-logs

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

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/detecting-golden-ticket-attacks-in-kerberos-logs
0 commentsdiscussion
summary

Detect Golden Ticket attacks in Active Directory by analyzing Kerberos TGT anomalies including mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures in domain controller event logs.

skill.md
name
detecting-golden-ticket-attacks-in-kerberos-logs
description
Detect Golden Ticket attacks in Active Directory by analyzing Kerberos TGT anomalies including mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures in domain controller event logs.
domain
cybersecurity
subdomain
threat-hunting
tags
- threat-hunting - golden-ticket - kerberos - active-directory - mitre-t1558-001 - credential-abuse
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05

Detecting Golden Ticket Attacks in Kerberos Logs

When to Use

  • When KRBTGT account hash may have been compromised via DCSync or NTDS.dit extraction
  • When hunting for forged Kerberos tickets used for persistent domain access
  • After incident response reveals credential theft at the domain level
  • When investigating impossible logon patterns (users logging in from multiple locations simultaneously)
  • During post-breach assessment to determine if Golden Tickets are in use

Prerequisites

  • Windows Security Event IDs 4768, 4769, 4771 on domain controllers
  • Kerberos policy configuration knowledge (max ticket lifetime, encryption types)
  • Domain controller audit policy enabling Kerberos Service Ticket Operations
  • SIEM with ability to correlate Kerberos events across multiple DCs

Workflow

  1. Monitor TGT Requests (Event 4768): Track Kerberos authentication service requests. Golden Tickets bypass the AS-REQ/AS-REP exchange entirely, so the absence of 4768 before 4769 is suspicious.
  2. Detect Encryption Type Anomalies: Golden Tickets often use RC4 (0x17) encryption. If your domain enforces AES (0x12), any RC4 TGT is a red flag. Monitor TicketEncryptionType in Event 4769.
  3. Check Ticket Lifetime Anomalies: Default Kerberos TGT lifetime is 10 hours with 7-day renewal. Golden Tickets can be forged with 10-year lifetimes. Detect tickets with durations exceeding policy.
  4. Hunt for Non-Existent SIDs: Golden Tickets can include arbitrary SIDs (including non-existent accounts or groups). Correlate TGS requests against known AD SID inventory.
  5. Detect TGS Without Prior TGT: When a service ticket (4769) appears without a preceding TGT request (4768) from the same IP/account, this may indicate a pre-existing Golden Ticket.
  6. Monitor KRBTGT Password Age: Track when KRBTGT was last reset. If KRBTGT hash hasn't changed since a known compromise, Golden Tickets from that period remain valid.
  7. Validate PAC Signatures: With KB5008380+ and PAC validation enforcement, domain controllers reject forged PACs. Monitor for Kerberos failures indicating PAC validation errors.

Detection Queries

Splunk -- RC4 Encryption in Kerberos TGS

index=wineventlog EventCode=4769
| where TicketEncryptionType="0x17"
| where ServiceName!="krbtgt"
| stats count by TargetUserName ServiceName IpAddress TicketEncryptionType Computer
| where count > 5
| sort -count

Splunk -- TGS Without Prior TGT

index=wineventlog (EventCode=4768 OR EventCode=4769)
| stats earliest(_time) as first_tgt by TargetUserName IpAddress EventCode
| eventstats earliest(eval(if(EventCode=4768, first_tgt, null()))) as tgt_time by TargetUserName IpAddress
| where EventCode=4769 AND (isnull(tgt_time) OR first_tgt < tgt_time)
| table TargetUserName IpAddress first_tgt tgt_time

KQL -- Golden Ticket Indicators

SecurityEvent
| where EventID == 4769
| where TicketEncryptionType == "0x17"
| where ServiceName != "krbtgt"
| summarize Count=count() by TargetUserName, IpAddress, ServiceName
| where Count > 5

Common Scenarios

  1. Post-DCSync Golden Ticket: After extracting KRBTGT hash, attacker forges TGT with Domain Admin SID, valid for months until KRBTGT is rotated twice.
  2. RC4 Downgrade: Golden Ticket forged with RC4 encryption in an AES-only environment, detectable by encryption type mismatch.
  3. Cross-Domain Golden Ticket: Forged inter-realm TGT used to pivot between AD domains/forests.
  4. Persistence After Remediation: Golden Tickets surviving password resets because KRBTGT was only rotated once (both current and previous hashes are valid).

Output Format

Hunt ID: TH-GOLDEN-[DATE]-[SEQ]
Suspected Account: [Account using forged ticket]
Source IP: [Client IP]
Target Service: [SPN accessed]
Encryption Type: [RC4/AES128/AES256]
Anomaly: [No prior TGT/RC4 in AES environment/Extended lifetime]
KRBTGT Last Reset: [Date]
Risk Level: [Critical]
how to use detecting-golden-ticket-attacks-in-kerberos-logs

How to use detecting-golden-ticket-attacks-in-kerberos-logs 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-attacks-in-kerberos-logs
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-attacks-in-kerberos-logs

The skills CLI fetches detecting-golden-ticket-attacks-in-kerberos-logs 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-attacks-in-kerberos-logs

Reload or restart Cursor to activate detecting-golden-ticket-attacks-in-kerberos-logs. Access the skill through slash commands (e.g., /detecting-golden-ticket-attacks-in-kerberos-logs) 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

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.436 reviews
  • Dhruvi Jain· Dec 20, 2024

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

  • Advait Harris· Dec 12, 2024

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

  • Anaya Jain· Dec 8, 2024

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

  • Anaya Singh· Nov 27, 2024

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

  • Oshnikdeep· Nov 11, 2024

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

  • Hiroshi Rao· Nov 3, 2024

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

  • Noah Ghosh· Oct 22, 2024

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

  • Fatima Shah· Oct 18, 2024

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

  • Ganesh Mohane· Oct 2, 2024

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

  • Advait Martin· Sep 17, 2024

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

showing 1-10 of 36

1 / 4