SecLists Usernames (Curated)

Description

Top username lists for enumeration: common usernames, default credentials, names. Curated essentials for authorized testing.

Source: SecLists/Usernames Repository: https://github.com/danielmiessler/SecLists License: MIT

When to Use This Skill

Use this skill when you need:

• Username enumeration (authorized)
• Default credential testing
• User discovery
• Account validation

⚠️ IMPORTANT: Only use for authorized security testing, bug bounty programs, CTF competitions, or educational purposes.

Key Files in This Skill

• top-usernames-shortlist.txt - Most common usernames
• cirt-default-usernames.txt - Default system usernames
• Names/names.txt - Common first/last names

Usage Example

# Access files from this skill
import os

# Example: Load patterns/payloads
skill_path = "references/Usernames"

# 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

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