hashcat
Skill0 starsChanged 31 days agoMITView on GitHub
Crack captured hashes with hashcat: mode selection, wordlist and rule strategy, mask attacks, GPU tuning. Use on hashes obtained during an authorized engagement.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- meowdiocre/meowpitheir own version, first seen Nov 1, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- meowdiocre/meowpi★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository30 other files it gives its agents.
- aide-fimSkill
- binary-exploitSkill
- bloodhoundSkill
- cis-linux-hardeningSkill
- credential-dump-detectSkill
- deserializationSkill
- dns-enumSkill
- dns-exfil-analysisSkill
- dns-exfil-detectSkill
- docker-forensicsSkill
- docker-hardeningSkill
- internal-pentestSkill
- jwt-attackSkill
- kerberoastingSkill
- lateral-movement-detectSkill
- linux-audit-logsSkill
- nmap-advancedSkill
- privesc-linuxSkill
- race-conditionSkill
- security-headersSkill
- sqli-sqlmapSkill
- ssrfSkill
- sstiSkill
- subdomain-enumSkill
- suricata-configSkill
- syslog-centralSkill
- wazuh-detectionSkill
- web-pentestSkill
- wireshark-analysisSkill
- xss-testingSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
When conducting security assessments that involve performing hash cracking with hashcat
- Distinctive: line 16
When following incident response procedures for related security events
- Distinctive: line 17
When performing scheduled security testing or auditing activities
- Distinctive: line 18
When validating security controls through hands-on testing
- Distinctive: line 31
Create custom hashcat rules for targeted cracking
- Distinctive: line 61
Only perform hash cracking with explicit written authorization
- Distinctive: line 64
Use results to improve password policies, not exploit users
- Distinctive: line 66
Follow rules of engagement for penetration test scope
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

