Ironpass Dynamic Password Strength Analyzer

Neeraj JainDepartment of Computer Science and Engineering, Alliance University, Bengaluru, IndiaAnimesh ChoudhuryDepartment of Computer Science and Engineering, Alliance University, Bengaluru, IndiaKumar RounakDepartment of Computer Science and Engineering, Alliance University, Bengaluru, IndiaTanay GuptDepartment of Computer Science and Engineering, Alliance University, Bengaluru, IndiaSiddharth VinayakDepartment of Computer Science and Engineering, Alliance University, Bengaluru, India

Vol 9 No 2025 (2025): Volume 9, Special Issue of ICCIS-2025 May 2025 | Pages: 138-143

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 11-06-2025

doi Logo doi.org/10.47001/IRJIET/2025.ICCIS-202522

Abstract

In today's digital era, password security remains one of the most overlooked aspects of personal and organizational cybersecurity. Many users still rely on weak, predictable, and short passwords for convenience, making their accounts vulnerable to breaches. IronPass – Dynamic Password Strength Analyzer is a web-based application designed to address this issue by evaluating password strength and assisting users in generating more secure alternatives. Built using React.js for the frontend and Node.js with Express.js for the backend, IronPass integrates a password strength assessment API to analyze and score user- input passwords in real-time. Additionally, the system offers a password generator that transforms simple inputs into complex, secure passwords. Through an intuitive user interface and insightful feedback, IronPass not only enhances password strength but also educates users about better password practices.

Keywords

Password Strength, Password Generator, Entropy, Web Security, React.js, Node.js, Real-Time Analysis, Password Assessment


Citation of this Article

Neeraj Jain, Animesh Choudhury, Kumar Rounak, Tanay Gupt, & Siddharth Vinayak. (2025). Ironpass Dynamic Password Strength Analyzer. In proceeding of Second International Conference on Computing and Intelligent Systems (ICCIS-2025), published in IRJIET, Volume 9, Special Issue ICCIS-2025, pp 138-143. Article DOI https://doi.org/10.47001/IRJIET/2025.ICCIS-202522

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