The file xato-net-10-million-passwords.txt is a publicly available wordlist containing 10 million unique plaintext passwords. Originally compiled by researcher Mark Burnett from various data breaches (e.g., LinkedIn, RockYou, MySpace, and other leaks prior to 2014), it has become a standard tool for penetration testing, password policy auditing, and academic research into user behavior. This paper examines the dataset’s composition, common findings, and its implications for modern cybersecurity.
The file demonstrates that attackers do not need brute force. A dictionary attack using just the top 1,000 passwords from this list will compromise ~30-40% of user accounts on a typical system without rate limiting or lockout policies. For offline cracking (e.g., hashed password databases), the success rate exceeds 85% when using the full 10-million list combined with simple mutation rules.
Analysis and Implications of the xato-net-10-million-passwords.txt Dataset
Xato-net-10-million-passwords.txt [2025]
The file xato-net-10-million-passwords.txt is a publicly available wordlist containing 10 million unique plaintext passwords. Originally compiled by researcher Mark Burnett from various data breaches (e.g., LinkedIn, RockYou, MySpace, and other leaks prior to 2014), it has become a standard tool for penetration testing, password policy auditing, and academic research into user behavior. This paper examines the dataset’s composition, common findings, and its implications for modern cybersecurity.
The file demonstrates that attackers do not need brute force. A dictionary attack using just the top 1,000 passwords from this list will compromise ~30-40% of user accounts on a typical system without rate limiting or lockout policies. For offline cracking (e.g., hashed password databases), the success rate exceeds 85% when using the full 10-million list combined with simple mutation rules. xato-net-10-million-passwords.txt
Analysis and Implications of the xato-net-10-million-passwords.txt Dataset The file xato-net-10-million-passwords
