performing-kerberoasting-attack
Kerberoasting is a post-exploitation technique that targets service accounts in Active Directory by requesting Kerberos TGS (Ticket Granting Service) tickets for accounts with Service Principal Names
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Installation Guide
How to use performing-kerberoasting-attack on Cursor
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Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
performing-kerberoasting-attack
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches performing-kerberoasting-attack from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-kerberoasting-attack. Access via /performing-kerberoasting-attack in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
| name | performing-kerberoasting-attack |
| description | Kerberoasting is a post-exploitation technique that targets service accounts in Active Directory by requesting Kerberos TGS (Ticket Granting Service) tickets for accounts with Service Principal Names |
| domain | cybersecurity |
| subdomain | red-teaming |
| tags | - red-team - adversary-simulation - mitre-attack - exploitation - post-exploitation - kerberoasting - active-directory - credential-access |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - Application Protocol Command Analysis - Network Isolation - Network Traffic Analysis - Client-server Payload Profiling - Network Traffic Community Deviation |
| nist_csf | - ID.RA-01 - GV.OV-02 - DE.AE-07 |
Performing Kerberoasting Attack
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.
Overview
Kerberoasting is a post-exploitation technique that targets service accounts in Active Directory by requesting Kerberos TGS (Ticket Granting Service) tickets for accounts with Service Principal Names (SPNs) set. These tickets are encrypted with the service account's NTLM hash, allowing offline brute-force cracking without generating failed login events. It is one of the most common privilege escalation paths in AD environments because any domain user can request TGS tickets.
When to Use
- When conducting security assessments that involve performing kerberoasting attack
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Familiarity with red teaming concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
MITRE ATT&CK Mapping
- T1558.003 - Steal or Forge Kerberos Tickets: Kerberoasting
- T1087.002 - Account Discovery: Domain Account
- T1069.002 - Permission Groups Discovery: Domain Groups
Workflow
Phase 1: SPN Enumeration
- Enumerate accounts with SPNs using LDAP queries
- Filter for user accounts (not computer accounts)
- Identify accounts with elevated privileges (adminCount=1)
- Prioritize accounts with weak password policies
Phase 2: TGS Ticket Request
- Request TGS tickets for identified SPN accounts
- Extract ticket data in crackable format (hashcat/john compatible)
- Ensure RC4 encryption is requested when possible (easier to crack)
- Document all requested tickets
Phase 3: Offline Cracking
- Use hashcat mode 13100 (Kerberos 5 TGS-REP etype 23) for RC4 tickets
- Use hashcat mode 19700 (Kerberos 5 TGS-REP etype 17) for AES-128
- Use hashcat mode 19800 (Kerberos 5 TGS-REP etype 18) for AES-256
- Apply targeted wordlists and rules based on password policy
Phase 4: Credential Validation
- Validate cracked credentials against domain
- Assess access level of compromised accounts
- Map accounts to BloodHound attack paths
- Document for engagement report
Tools and Resources
| Tool | Purpose | Platform |
|---|---|---|
| Rubeus | Kerberoasting and ticket manipulation | Windows (.NET) |
| Impacket GetUserSPNs.py | Remote Kerberoasting | Linux/Python |
| PowerView | SPN enumeration | Windows (PowerShell) |
| hashcat | Offline password cracking | Cross-platform |
| John the Ripper | Offline password cracking | Cross-platform |
Detection Indicators
- Event ID 4769: Kerberos Service Ticket Request with RC4 encryption (0x17)
- Anomalous TGS requests from a single account in short timeframe
- TGS requests for services the user normally does not access
- Honeypot SPN accounts with alerting on ticket requests
Validation Criteria
- SPN accounts enumerated and documented
- TGS tickets extracted in crackable format
- Offline cracking attempted with appropriate wordlists
- Cracked credentials validated
- Access level of compromised accounts assessed
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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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- AAmelia Anderson★★★★★Dec 20, 2024
Solid pick for teams standardizing on skills: performing-kerberoasting-attack is focused, and the summary matches what you get after install.
- PPratham Ware★★★★★Dec 8, 2024
Registry listing for performing-kerberoasting-attack matched our evaluation — installs cleanly and behaves as described in the markdown.
- IIshan Abbas★★★★★Dec 4, 2024
I recommend performing-kerberoasting-attack for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- SSakshi Patil★★★★★Nov 27, 2024
performing-kerberoasting-attack reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AAditi Dixit★★★★★Nov 23, 2024
Keeps context tight: performing-kerberoasting-attack is the kind of skill you can hand to a new teammate without a long onboarding doc.
- SSofia Choi★★★★★Nov 11, 2024
performing-kerberoasting-attack has been reliable in day-to-day use. Documentation quality is above average for community skills.
- NNikhil Flores★★★★★Nov 3, 2024
performing-kerberoasting-attack is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- LLi Abebe★★★★★Oct 22, 2024
performing-kerberoasting-attack fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- CChaitanya Patil★★★★★Oct 18, 2024
I recommend performing-kerberoasting-attack for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- AAditi Liu★★★★★Oct 14, 2024
Registry listing for performing-kerberoasting-attack matched our evaluation — installs cleanly and behaves as described in the markdown.
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