performing-hash-cracking-with-hashcat▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Hash cracking is an essential skill for penetration testers and security auditors to evaluate password strength. Hashcat is the world's fastest password recovery tool, supporting over 300 hash types w
| name | performing-hash-cracking-with-hashcat |
| description | Hash cracking is an essential skill for penetration testers and security auditors to evaluate password strength. Hashcat is the world's fastest password recovery tool, supporting over 300 hash types w |
| domain | cybersecurity |
| subdomain | cryptography |
| tags | - cryptography - hash-cracking - password-security - hashcat - penetration-testing |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.DS-01 - PR.DS-02 - PR.DS-10 |
Performing Hash Cracking with Hashcat
Overview
Hash cracking is an essential skill for penetration testers and security auditors to evaluate password strength. Hashcat is the world's fastest password recovery tool, supporting over 300 hash types with GPU acceleration. This skill covers using hashcat for authorized password auditing, understanding attack modes, creating effective rule sets, and generating hash analysis reports. This is strictly for authorized penetration testing and password policy assessment.
When to Use
- When conducting security assessments that involve performing hash cracking with hashcat
- 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 cryptography 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
Objectives
- Identify hash types from captured hashes
- Execute dictionary, brute-force, and rule-based attacks
- Create custom hashcat rules for targeted cracking
- Analyze password strength from cracking results
- Generate compliance reports on password policy effectiveness
- Benchmark GPU performance for hash cracking
Key Concepts
Hashcat Attack Modes
| Mode | Flag | Description | Use Case |
|---|---|---|---|
| Dictionary | -a 0 | Wordlist attack | Known password patterns |
| Combination | -a 1 | Combine two wordlists | Compound passwords |
| Brute-force | -a 3 | Mask-based enumeration | Short passwords |
| Rule-based | -a 0 -r | Dictionary + transformation rules | Complex variations |
| Hybrid | -a 6/7 | Wordlist + mask | Passwords with appended numbers |
Common Hash Types
| Hash Mode | Type | Example Use |
|---|---|---|
| 0 | MD5 | Legacy web apps |
| 100 | SHA-1 | Legacy systems |
| 1000 | NTLM | Windows credentials |
| 1800 | sha512crypt | Linux /etc/shadow |
| 3200 | bcrypt | Modern web apps |
| 13100 | Kerberos TGS-REP | Active Directory |
Security Considerations
- Only perform hash cracking with explicit written authorization
- Secure all captured hash data in transit and at rest
- Report all cracked passwords immediately to asset owners
- Use results to improve password policies, not exploit users
- Destroy cracked password data after engagement concludes
- Follow rules of engagement for penetration test scope
Validation Criteria
- Hash type identification is correct
- Dictionary attack cracks weak passwords
- Rule-based attack cracks policy-compliant passwords
- Mask attack cracks short passwords
- Results report shows password strength distribution
- All operations performed within authorized scope
How to use performing-hash-cracking-with-hashcat on Cursor
AI-first code editor with Composer
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 performing-hash-cracking-with-hashcat
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches performing-hash-cracking-with-hashcat from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate performing-hash-cracking-with-hashcat. Access the skill through slash commands (e.g., /performing-hash-cracking-with-hashcat) 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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★41 reviews- ★★★★★Olivia Jain· Dec 28, 2024
Keeps context tight: performing-hash-cracking-with-hashcat is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Daniel Perez· Dec 20, 2024
performing-hash-cracking-with-hashcat is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★James Rao· Dec 8, 2024
We added performing-hash-cracking-with-hashcat from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Dec 4, 2024
Useful defaults in performing-hash-cracking-with-hashcat — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Rahul Santra· Nov 23, 2024
performing-hash-cracking-with-hashcat has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Liam Ghosh· Nov 19, 2024
Registry listing for performing-hash-cracking-with-hashcat matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Harper Malhotra· Nov 15, 2024
performing-hash-cracking-with-hashcat fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mei Smith· Nov 11, 2024
performing-hash-cracking-with-hashcat reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Oct 14, 2024
Solid pick for teams standardizing on skills: performing-hash-cracking-with-hashcat is focused, and the summary matches what you get after install.
- ★★★★★Liam Singh· Oct 10, 2024
performing-hash-cracking-with-hashcat reduced setup friction for our internal harness; good balance of opinion and flexibility.
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