Paper Title

A standalone: XSS Attack Detection & Prevention System

Article Identifiers

Registration ID: IJNRD_193909

Published ID: IJNRD2305097

DOI: Click Here to Get

Authors

Pooja Jangid , Minhaj Khan

Keywords

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

Abstract

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

How To Cite

"A standalone: XSS Attack Detection & Prevention System", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a768-a774, May-2023, Available :https://ijnrd.org/papers/IJNRD2305097.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : a768-a774

Other Publication Details

Paper Reg. ID: IJNRD_193909

Published Paper Id: IJNRD2305097

Downloads: 000121141

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

About Publisher

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area