Crack Hashcat logo

Crack Hashcat

Organization
AgentSecOps
crack-hashcat

Advanced password recovery and hash cracking tool supporting multiple algorithms and attack modes. Use when: (1) Performing authorized password auditing and security assessments, (2) Recovering passwords from captured hashes in forensic investigations, (3) Testing password policy strength and complexity, (4) Validating encryption implementations, (5) Conducting security research on cryptographic hash functions, (6) Demonstrating password weakness in penetration testing reports.

Overview

PublisherAgentSecOps
RepositorySecOpsAgentKit
Skill namecrack-hashcat
Stars
225
Forks
44
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AgentSecOps on GitHub. Read the source before you install it.

Installation

Install the Crack Hashcat AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/offsec/crack-hashcat
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgentSecOps/SecOpsAgentKit.git /tmp/SecOpsAgentKit
mkdir -p .claude/skills
cp -r /tmp/SecOpsAgentKit/skills/offsec/crack-hashcat .claude/skills/crack-hashcat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crack Hashcat in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Crack Hashcat on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Crack Hashcat is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hashcat Password Recovery

Overview

Hashcat is the world's fastest password recovery tool, supporting over 300 hash algorithms and multiple attack modes. This skill covers authorized password auditing, forensic password recovery, and security research applications.

IMPORTANT: Password cracking must only be performed on hashes you are authorized to crack. Unauthorized password cracking is illegal. Always ensure proper authorization and legal compliance.

Quick Start

Basic password cracking:

bash
# Identify hash type
hashcat --example-hashes | grep -i md5

# Dictionary attack on MD5 hash
hashcat -m 0 -a 0 hashes.txt wordlist.txt

# Show cracked passwords
hashcat -m 0 hashes.txt --show

# Benchmark system performance
hashcat -b

Core Workflow

Password Cracking Workflow

Progress: [ ] 1. Verify authorization for password cracking [ ] 2. Identify hash algorithm type [ ] 3. Prepare hash file and wordlists [ ] 4. Select appropriate attack mode [ ] 5. Execute cracking operation [ ] 6. Analyze cracked passwords [ ] 7. Document password policy weaknesses [ ] 8. Securely delete hash files and results

Work through each step systematically. Check off completed items.

1. Authorization Verification

CRITICAL: Before any password cracking:

  • Confirm written authorization from data owner
  • Verify legal right to crack captured hashes
  • Understand data handling and retention requirements
  • Document chain of custody for forensic cases
  • Ensure secure storage of cracked passwords

2. Hash Identification

Identify hash algorithm:

bash
# Show all supported hash types
hashcat --example-hashes

# Common hash types
hashcat --example-hashes | grep -i "MD5"
hashcat --example-hashes | grep -i "SHA"
hashcat --example-hashes | grep -i "NTLM"

# Use hash-identifier (separate tool)
hash-identifier
# Paste hash when prompted

# Hashcat mode numbers (common)
# 0 = MD5
# 100 = SHA1
# 1000 = NTLM
# 1400 = SHA256
# 1800 = sha512crypt
# 3200 = bcrypt
# 5600 = NetNTLMv2
# 13100 = Kerberos 5 TGS-REP

3. Hash File Preparation

Prepare hash files:

bash
# Simple hash file (one hash per line)
echo "5f4dcc3b5aa765d61d8327deb882cf99" > hashes.txt

# Hash with username (username:hash format)
cat > hashes.txt <<EOF
admin:5f4dcc3b5aa765d61d8327deb882cf99
user1:098f6bcd4621d373cade4e832627b4f6
EOF

# Hash with salt (hash:salt format for some algorithms)
echo "hash:salt" > hashes.txt

# From /etc/shadow (Linux)
sudo cat /etc/shadow | grep -v "^#" | grep -v ":\*:" | grep -v ":!:" > shadow_hashes.txt

# From NTDS.dit (Active Directory)
secretsdump.py -ntds ntds.dit -system SYSTEM -hashes lmhash:nthash LOCAL > ad_hashes.txt

4. Attack Modes

Choose appropriate attack mode:

Dictionary Attack (Mode 0):

bash
# Basic dictionary attack
hashcat -m 0 -a 0 hashes.txt rockyou.txt

# Multiple wordlists
hashcat -m 0 -a 0 hashes.txt wordlist1.txt wordlist2.txt

# With rules
hashcat -m 0 -a 0 hashes.txt rockyou.txt -r rules/best64.rule

Combinator Attack (Mode 1):

bash
# Combine words from two wordlists
hashcat -m 0 -a 1 hashes.txt wordlist1.txt wordlist2.txt

Brute-Force Attack (Mode 3):

bash
# All lowercase letters, 8 characters
hashcat -m 0 -a 3 hashes.txt ?l?l?l?l?l?l?l?l

# Mixed case and numbers, 6 characters
hashcat -m 0 -a 3 hashes.txt ?1?1?1?1?1?1 -1 ?l?u?d

# Custom charset
hashcat -m 0 -a 3 hashes.txt ?1?1?1?1?1?1?1?1 -1 abc123

Mask Attack (Mode 3 with patterns):

bash
# Password format: Uppercase + 6 lowercase + 2 digits
hashcat -m 0 -a 3 hashes.txt ?u?l?l?l?l?l?l?d?d

# Year pattern: word + 4 digits (2019-2024)
hashcat -m 0 -a 3 hashes.txt password?d?d?d?d

# Common patterns
hashcat -m 0 -a 3 hashes.txt ?u?l?l?l?l?l?d?d?s  # Capital + word + numbers + special

Hybrid Attacks (Modes 6 & 7):

bash
# Wordlist + mask (append)
hashcat -m 0 -a 6 hashes.txt wordlist.txt ?d?d?d?d

# Mask + wordlist (prepend)
hashcat -m 0 -a 7 hashes.txt ?d?d?d?d wordlist.txt

Character Sets:

  • ?l = lowercase (abcdefghijklmnopqrstuvwxyz)
  • ?u = uppercase (ABCDEFGHIJKLMNOPQRSTUVWXYZ)
  • ?d = digits (0123456789)
  • ?s = special characters (!@#$%^&*...)
  • ?a = all characters (l+u+d+s)
  • ?b = all printable ASCII

5. Performance Optimization

Optimize cracking performance:

bash
# Use GPU acceleration
hashcat -m 0 -a 0 hashes.txt wordlist.txt -w 3

# Workload profiles
# -w 1 = Low (desktop usable)
# -w 2 = Default
# -w 3 = High (dedicated cracking)
# -w 4 = Nightmare (max performance)

# Specify GPU device
hashcat -m 0 -a 0 hashes.txt wordlist.txt -d 1

# Show performance benchmark
hashcat -b

# Optimize kernel
hashcat -m 0 -a 0 hashes.txt wordlist.txt -O

# Show estimated time
hashcat -m 0 -a 0 hashes.txt wordlist.txt --runtime=3600

6. Rules and Mutations

Apply password mutation rules:

bash
# Use rule file
hashcat -m 0 -a 0 hashes.txt wordlist.txt -r rules/best64.rule

# Multiple rule files
hashcat -m 0 -a 0 hashes.txt wordlist.txt -r rules/best64.rule -r rules/leetspeak.rule

# Common Hashcat rules
# best64.rule - Best 64 rules for speed/coverage
# dive.rule - Deep mutations
# toggles1.rule - Case toggles
# generated2.rule - Complex mutations

# Custom rule examples
# : = do nothing
# l = lowercase all
# u = uppercase all
# c = capitalize first, lowercase rest
# $1 = append "1"
# ^2 = prepend "2"
# sa@ = replace 'a' with '@'

7. Session Management

Manage cracking sessions:

bash
# Save session
hashcat -m 0 -a 0 hashes.txt wordlist.txt --session=mysession

# Restore session
hashcat --session=mysession --restore

# Show status
hashcat --session=mysession --status

# Remove session
hashcat --session=mysession --remove

# Auto-checkpoint every 60 seconds
hashcat -m 0 -a 0 hashes.txt wordlist.txt --session=mysession --restore-file-path=/path/to/checkpoint

8. Results and Reporting

View and export results:

bash
# Show cracked passwords
hashcat -m 0 hashes.txt --show

# Show only usernames and passwords
hashcat -m 0 hashes.txt --show --username

# Export to file
hashcat -m 0 hashes.txt --show > cracked.txt

# Show cracking statistics
hashcat -m 0 hashes.txt --show --status

# Left side (uncracked hashes)
hashcat -m 0 hashes.txt --left

Security Considerations

Authorization & Legal Compliance

  • Explicit Authorization: Written permission required for all password cracking
  • Forensic Chain of Custody: Maintain evidence integrity
  • Data Protection: Securely handle cracked passwords
  • Scope Limitation: Only crack specifically authorized hashes
  • Legal Jurisdiction: Understand applicable laws (CFAA, GDPR, etc.)

Operational Security

  • Secure Storage: Encrypt hash files and results
  • Offline Cracking: Perform on air-gapped systems when possible
  • Resource Management: Monitor system resources during cracking
  • Temperature: Ensure adequate cooling for extended GPU usage
  • Power: Use surge protection for hardware safety

Audit Logging

Document all password cracking activities:

  • Hash source and acquisition method
  • Authorization documentation
  • Hash algorithm and attack mode used
  • Cracking start and end timestamps
  • Success rate and crack time
  • Wordlists and rules applied
  • Password complexity analysis
  • Secure deletion of artifacts

Compliance

  • MITRE ATT&CK: T1110 (Brute Force)
    • T1110.002 (Password Cracking)
  • NIST SP 800-63B: Digital Identity Guidelines for passwords
  • PCI-DSS: Password security requirements
  • ISO 27001: A.9.4 Secret authentication information management

Common Patterns

Pattern 1: Windows Domain Password Audit

bash
# Extract NTLM hashes from NTDS.dit
secretsdump.py -ntds ntds.dit -system SYSTEM LOCAL > ad_hashes.txt

# Crack NTLM hashes
hashcat -m 1000 -a 0 ad_hashes.txt rockyou.txt -r rules/best64.rule

# Show cracked Domain Admin accounts
hashcat -m 1000 ad_hashes.txt --show | grep -i "domain admins"

Pattern 2: Linux Password Audit

bash
# Extract hashes from /etc/shadow
sudo unshadow /etc/passwd /etc/shadow > linux_hashes.txt

# Crack SHA-512 crypt hashes
hashcat -m 1800 -a 0 linux_hashes.txt rockyou.txt

# Analyze password complexity
hashcat -m 1800 linux_hashes.txt --show | awk -F: '{print length($2), $2}'

Pattern 3: Wi-Fi WPA2 Cracking

bash
# Convert pcap to hashcat format (using cap2hccapx)
cap2hccapx capture.cap wpa.hccapx

# Crack WPA2 handshake
hashcat -m 22000 -a 0 wpa.hccapx rockyou.txt

# With mask attack for numeric passwords
hashcat -m 22000 -a 3 wpa.hccapx ?d?d?d?d?d?d?d?d

Pattern 4: Web Application Hash Cracking

bash
# Crack MD5 hashes (web app database dump)
hashcat -m 0 -a 0 webapp_hashes.txt rockyou.txt -r rules/best64.rule

# Crack bcrypt hashes (slow but secure)
hashcat -m 3200 -a 0 bcrypt_hashes.txt wordlist.txt -w 3

# SHA256 with salt
hashcat -m 1400 -a 0 salted_hashes.txt wordlist.txt

Pattern 5: Kerberos TGT Cracking (Kerberoasting)

bash
# Crack Kerberos 5 TGS-REP
hashcat -m 13100 -a 0 kerberos_tickets.txt rockyou.txt -r rules/best64.rule

# Focus on service accounts
hashcat -m 13100 -a 0 kerberos_tickets.txt wordlist.txt --username

Integration Points

Password Policy Analysis

bash
#!/bin/bash
# analyze_passwords.sh - Password policy compliance check

CRACKED_FILE="$1"

echo "Password Length Distribution:"
awk -F: '{print length($2)}' "$CRACKED_FILE" | sort -n | uniq -c

echo -e "\nPasswords with Dictionary Words:"
grep -f /usr/share/dict/words "$CRACKED_FILE" | wc -l

echo -e "\nPasswords without Special Characters:"
grep -v "[!@#$%^&*]" "$CRACKED_FILE" | wc -l

echo -e "\nCommon Password Patterns:"
grep -E "^password|123456|qwerty" "$CRACKED_FILE" | wc -l

Reporting

bash
# Generate password audit report
cat > audit_report.sh <<'EOF'
#!/bin/bash
TOTAL=$(wc -l < hashes.txt)
CRACKED=$(hashcat -m 1000 hashes.txt --show | wc -l)
PERCENT=$((CRACKED * 100 / TOTAL))

echo "Password Audit Report"
echo "===================="
echo "Total Hashes: $TOTAL"
echo "Cracked: $CRACKED"
echo "Success Rate: $PERCENT%"
echo ""
echo "Recommendations:"
echo "- Implement minimum password length of 12 characters"
echo "- Require complex passwords (upper, lower, digit, special)"
echo "- Enable multi-factor authentication"
echo "- Implement password history and rotation"
EOF
chmod +x audit_report.sh

Troubleshooting

Issue: Slow Cracking Speed

Solutions:

bash
# Use optimized kernel
hashcat -m 0 -a 0 hashes.txt wordlist.txt -O

# Increase workload
hashcat -m 0 -a 0 hashes.txt wordlist.txt -w 3

# Check GPU utilization
hashcat -m 0 -a 0 hashes.txt wordlist.txt --status

# Verify GPU drivers
nvidia-smi  # For NVIDIA
rocm-smi    # For AMD

Issue: Out of Memory

Solutions:

bash
# Reduce wordlist size
head -n 1000000 large_wordlist.txt > smaller_wordlist.txt

# Disable optimizations
hashcat -m 0 -a 0 hashes.txt wordlist.txt (remove -O flag)

# Split hash file
split -l 1000 hashes.txt hash_chunk_

Issue: Hash Format Errors

Solutions:

  • Verify hash mode (-m) matches hash type
  • Check hash file format (remove extra spaces, newlines)
  • Ensure proper salt format for salted hashes
  • Use --username flag if hashes include usernames

Defensive Considerations

Protect against password cracking:

Strong Password Policies:

  • Minimum length: 12+ characters
  • Complexity requirements (mixed case, numbers, special)
  • Prohibit common passwords
  • Implement password history
  • Regular password rotation for privileged accounts

Technical Controls:

  • Use strong hashing algorithms (bcrypt, scrypt, Argon2)
  • Implement salting and key stretching
  • Use adaptive hash functions
  • Enable multi-factor authentication
  • Implement account lockout policies
  • Monitor for brute-force attempts

Hash Storage Best Practices:

  • Never store plaintext passwords
  • Use strong, modern hashing algorithms
  • Implement per-password unique salts
  • Use appropriate iteration counts (bcrypt cost, PBKDF2 rounds)
  • Regularly update hashing parameters

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Crack Hashcat AI skill do?

Advanced password recovery and hash cracking tool supporting multiple algorithms and attack modes. Use when: (1) Performing authorized password auditing and security assessments, (2) Recovering passwords from captured hashes in forensic investigations, (3) Testing password policy strength and complexity, (4) Validating encryption implementations, (5) Conducting security research on cryptographic hash functions, (6) Demonstrating password weakness in penetration testing reports.

Why use Crack Hashcat on TypingMind?

Because you install it once and use it with any model. Crack Hashcat is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Crack Hashcat in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/offsec/crack-hashcat. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Crack Hashcat?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Crack Hashcat?

As many as you like. As long as a model supports skills, you can use Crack Hashcat with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Crack Hashcat AI skill free?

It is published on GitHub by AgentSecOps. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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