Abstract :

As Web Applications Continue To Play A Vital Role In Modern Digital Systems, They Are Increasingly Exposed To Security Threats Such As SQL Injection, Cross-Site Scripting (XSS), And Server Misconfigurations. These Vulnerabilities Can Lead To Serious Consequences For Organizations, Making Proactive Security Assessment Essential. To Address This Challenge, Automated Scanning Solutions Are Necessary To Identify Weaknesses Before They Can Be Exploited. This Paper Presents The Development Of A Website Vulnerability Scanning System Implemented Using Python. The Proposed System Incorporates Google OAuth2 For Secure User Authentication And Supports Multiple User Roles To Manage Access And Functionality Effectively. It Is Designed To Automatically Scan User-submitted Websites For Potential Security Issues. By Utilizing Python Libraries Such As Requests, BeautifulSoup, And Scapy, The System Is Able To Detect Common Vulnerabilities And Provide Comprehensive Reports For Administrators. The Evaluation Of The System Demonstrates Its Capability To Efficiently And Accurately Identify Security Flaws In Web Applications. By Automating The Vulnerability Detection Process, The Proposed Solution Enhances The Overall Security Posture Of Web Systems And Assists Organizations In Maintaining Safer And More Reliable Online Platforms.

Published:

16-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

2412 - 2416

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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