International Research Journal of Education and Technology

This research focuses on the increasing reliance on digital technologies, highlighting the critical need for web application security due to the emergence of vulnerabilities that attract malicious actors. AutoPent is an automated, modular web vulnerability scanner created to tackle this issue effectively. It proficiently identifies common vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), Remote Code Execution (RCE), Local File Inclusion (LFI), and Open Redirect vulnerabilities. By utilizing advanced web crawling methods, dynamic payload libraries, multi-threaded processing, and robust encoding detection techniques, AutoPent delivers precise and actionable security insights. This paper elaborates on the architecture, methodologies, implementation, and outcomes associated with AutoPent, underscoring its significant contributions to web application security. The tool’s user-oriented design, thorough reporting capabilities, and ethical usage guidelines establish it as an essential resource for developers and organizations aiming to bolster their cybersecurity measures.

Index Terms - Web Security,Penetration Testing,SQL Injection,Automation in Cybersecurity.