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Pattern Matching

by @pandaai-1337

Provides patterns for detecting sensitive data like API keys, credit cards, emails, SSNs, phone numbers, and IPs for authorized security testing and validation.

Versionv1.0.0
Downloads687
TERMINAL
clawhub install pattern-matching

πŸ“– About This Skill


name: SecLists Pattern-Matching description: Sensitive data patterns for security testing: API keys, credit cards, emails, SSNs, phone numbers, IPs, and more. Use for data discovery and validation.

SecLists Pattern-Matching

Description

Sensitive data patterns for security testing: API keys, credit cards, emails, SSNs, phone numbers, IPs, and more. Use for data discovery and validation.

Source: SecLists/Pattern-Matching Repository: https://github.com/danielmiessler/SecLists License: MIT

When to Use This Skill

Use this skill when you need:

  • API key detection in code/logs
  • Credit card validation testing
  • Email pattern matching
  • IP address discovery
  • SSN format validation
  • Phone number pattern testing
  • ⚠️ IMPORTANT: Only use for authorized security testing, bug bounty programs, CTF competitions, or educational purposes.

    Key Files in This Skill

  • api-keys.txt - API key patterns
  • credit-cards.txt - Credit card formats
  • email-addresses.txt - Email patterns
  • ip-addresses.txt - IP address patterns
  • ssn.txt - Social Security Number patterns
  • phone-numbers.txt - Phone number formats
  • Usage Example

    # Access files from this skill
    import os

    Example: Load patterns/payloads

    skill_path = "references/Pattern-Matching"

    List all available files

    for root, dirs, files in os.walk(skill_path): for file in files: if file.endswith('.txt'): filepath = os.path.join(root, file) print(f"Found: {filepath}") # Read file content with open(filepath, 'r', errors='ignore') as f: content = f.read().splitlines() print(f" Lines: {len(content)}")

    Security & Ethics

    Authorized Use Cases βœ…

  • Authorized penetration testing with written permission
  • Bug bounty programs (within scope)
  • CTF competitions
  • Security research in controlled environments
  • Testing your own systems
  • Educational demonstrations
  • Prohibited Use Cases ❌

  • Unauthorized access attempts
  • Testing without permission
  • Malicious activities
  • Privacy violations
  • Any illegal activities
  • Complete SecLists Collection

    This is a curated subset of SecLists. For the complete collection:

  • Full repository: https://github.com/danielmiessler/SecLists
  • Size: 4.5 GB with 6,000+ files
  • All categories: Passwords, Usernames, Discovery, Fuzzing, Payloads, Web-Shells, Pattern-Matching, AI, Miscellaneous

  • Generated by Skill Seeker | SecLists Pattern-Matching Collection License: MIT - Use responsibly with proper authorization