A standalone: XSS Attack Detection & Prevention System

Registration ID: IJNRD_193909

Published ID: IJNRD2305097

DOI: Click Here to Get

Pooja Jangid , Minhaj Khan

Dynamic Dashboard, Automatic XSS detection, Vulnerabilities in multiple high traffic sites.

For automatic XSS detection in web applications built using the well-known tool XssPy, XsSpotter is a potent tool. Multiple heavily visited websites have had vulnerabilities discovered using this tool. Numerous common XSS vulnerabilities in web applications can be found using XsSpotter. It is capable of discovering: XSS through input fields XSS through URL parameters Unescaped characters After identifying a potentially vulnerable input, XsSpotter will rank the possibility of an exploit on a scale of high, medium, to low. After testing with the payload, these inputs will be printed. Additionally, XsSpotter offers a dynamic dashboard with real-time testing updates. There is no need to wait for large sites to finish whenever a vulnerable area is discovered because it will always be outputted to the console for immediate testing. Language: Python

Published Paper   E-Certificate

Pooja Jangid & Minhaj Khan (May-2023). A standalone: XSS Attack Detection & Prevention System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a768-a774. https://ijnrd.org/papers/IJNRD2305097.pdf

Volume 8 Issue 5, May-2023

Pages : a768-a774

Paper Reg. ID: IJNRD_193909

Published Paper Id: IJNRD2305097

Downloads: 000121982

Research Area: Information Technology 

Country: Lohegaon, pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305097.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305097

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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