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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 ✅

• 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

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