Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The increasing reliance on web applications has led to a surge in security vulnerabilities exploited by cybercriminals. This research introduces an automated Web Application Vulnerability Scanner developed in Python to address this issue. The scanner employs web crawling to analyze application components, detects various vulnerabilities including SQL Injection, Server-side Request Forgery, Cross-site Request Forgery, Directory Traversal and Cross-site Scripting, and provides comprehensive reports in JSON and PDF formats. The system offers both web-based and command-line interfaces, detailed attack type information, and remediation strategies, aimed at improving web application security and mitigating potential risks.
"WebGuard: A Web Vulnerability Scanner for Web Applications", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b364-b368, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504144.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator