Journal of Applied Science, Information and Computing

An enhanced technique for the detection and securing of a Potential vulnerable website

JASIC ID: 726a40d5ce January 1, 2025

An enhanced technique for the detection and securing of a Potential vulnerable website

Shukurah Oluwadamilola Yusuf, Adeleke Raheem Ajiboye
Published January 1, 2025 Pages 122-129

Article Abstract

Enhancing the web application security is very crucial for every organization, but ensuring accurate implementation of vulnerability features can be challenging. Traditional vulnerability scanners struggle due to limited security education for programmers, who often rely solely on web searches for information. However, the use of an innovative techniques such as a dedicated rule engine scanner and a user interface that implements precise vulnerability can be a good guide for programmers. This study focuses on accessing the http security headers in web applications. The detection is actually possible through the security guidelines activated to achieve this purpose. This study also emphasizes the level of accuracy as regards the security header implementation. The resulting output of this study reveals the missing features which was validated using an established scanners and qualitative assessment metrics. Findings from this study reveals some positive outcomes and informed content policies as regards security, features and permissions. The study further reveals better approaches to secure a website from becoming vulnerable, by ensuring the server configurations are regularly checked and hardened the web page through the use of SSL/TLS with a valid certificate.

Indexed Terms

Rule Engine Security Education Educational Vulnerability Scanner Content Security Policy Feature Policy Permissions Policy.
Citation

How to Cite this Article

Shukurah Oluwadamilola Yusuf, Adeleke Raheem Ajiboye. "An enhanced technique for the detection and securing of a Potential vulnerable website." Journal of Applied Science, Information and Computing , vol. 6 , no. 1 , 2025 , pp. 122-129

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Authors

Author Profiles

Adeleke Raheem Ajiboye
Department of Computer Science, Kampala International University, Kansanga, Uganda. Uganda ORCID 0000-0003-4633-7664