Host Header Injection Detection Tool for Enhanced Web Application Security

Balamurugan , sangeetha.b , Thennisha M , 4Priyadharshan

Host Header Injection, Web Security, , HTTP, HTTPS, Misconfiguration, Mitigation,

In the current landscape of web security, Host Header Injection remains a critical yet often overlooked vulnerability. This paper presents a novel tool designed to automatically detect Host Header Injection vulnerabilities in web applications. Our approach involves simulating various attack vectors by manipulating HTTP Host headers, testing across both HTTP and HTTPS protocols. The tool employs automated payload injection to identify potential issues like server-side misconfigurations, bypassing input validation, and exploiting server logic flaws. It provides real-time analysis and detailed reporting to assist in early detection and mitigation of these vulnerabilities. The proposed tool is built using Python and leverages libraries such as requests and urllib for efficient handling of HTTP/HTTPS requests. Our results demonstrate the tool's effectiveness in identifying common Host Header Injection flaws, offering an essential resource for developers and security analysts to enhance web application security.

Published Paper   E-Certificate

"Host Header Injection Detection Tool for Enhanced Web Application Security", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a368-a370, December-2024, Available :https://ijsdr.org/papers/IJSDR2412040.pdf

Volume 9 Issue 12, December-2024

Pages : a368-a370

Paper Reg. ID: IJSDR_212798

Published Paper Id: IJSDR2412040

Downloads: 000347212

Research Area: Computer Science & Technology 

Country: coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2412040

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2412040

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition