Statistically Likely Usernames
Wordlists for statistically likely usernames, optimized for horizontal password attacks and security testing.
What is Statistically Likely Usernames?
Statistically Likely Usernames is a collection of wordlists and tools for generating username lists optimized for security testing and penetration testing. It solves the problem of inefficient username guessing by providing statistically ordered lists based on real-world name data, enabling horizontal password attacks that try one password across many likely usernames.
Penetration testers, security researchers, and red teamers who need efficient username enumeration and password attack tools for authorized security assessments.
Developers choose this project for its proven effectiveness in live attacks, statistically optimized lists that maximize success with minimal guesses, and flexibility to generate custom lists for specific username formats or organizational conventions.
Overview
Wordlists for creating statistically likely username lists for use in password attacks and security testing. Used for pentesting for over 10 years with amazing results.
Use Cases
Best For
- Conducting horizontal password attacks to avoid account lockouts
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