Abstract: In the digital era, passwords serve as the primary authentication mechanism for securing online accounts, financial systems, enterprise applications, and personal data. However, weak passwords and password reuse practices significantly increase the risk of cyberattacks such as brute force attacks, dictionary attacks, credential stuffing, and phishing. Data breaches have exposed millions of user credentials worldwide, making password security a critical concern. This research presents a Password Strength Analyzer and Breach Detection Tool that evaluates password robustness using machine learning techniques and checks whether a password has been exposed in known data breaches. The system analyzes password complexity based on multiple parameters including length, entropy, character diversity, and pattern predictability. Additionally, the tool integrates breach database verification using secure hashing techniques to detect compromised credentials without exposing sensitive information. Experimental results demonstrate improved detection accuracy and real-time performance, making the system suitable for cybersecurity awareness, enterprise authentication systems, and secure web applications.

Keywords: Cybersecurity, Password Strength, Breach Detection, Machine Learning, Data Security, Hashing, Authentication.

Downloads: | DOI: 10.17148/IARJSET.2026.13242