Detection of XSS vulnerabilities in OJS

This article analyzes XSS vulnerabilities in OJS (Open Journal Systems) and develops a model for protecting against these attacks. It discusses different types of XSS attacks, vulnerabilities in OJS, methods of detecting them, and potential consequences for system security. The article describes a specific vulnerability that can be exploited to inject malicious code through user input of specially generated data. Based on the analysis, a protection model is developed, which includes the introduction of restrictions for vulnerable fields, encoding, and filtering of data before displaying it on the page. This article is essential for OJS administrators and developers to ensure high security and protection against potential XSS attacks.

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Publication Details

Journal
International Journal of Electronics and Telecommunications
Published
2025-04-07
DOI
https://doi.org/10.24425/ijet.2025.153548
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
0.00
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article

Detection of XSS vulnerabilities in OJS

International Journal of Electronics and Telecommunications
Web Application Security Vulnerabilities
article

Detection of XSS vulnerabilities in OJS

article en

Abstract

This article analyzes XSS vulnerabilities in OJS (Open Journal Systems) and develops a model for protecting against these attacks. It discusses different types of XSS attacks, vulnerabilities in OJS, methods of detecting them, and potential consequences for system security. The article describes a specific vulnerability that can be exploited to inject malicious code through user input of specially generated data. Based on the analysis, a protection model is developed, which includes the introduction of restrictions for vulnerable fields, encoding, and filtering of data before displaying it on the page. This article is essential for OJS administrators and developers to ensure high security and protection against potential XSS attacks.

International Journal of Electronics and Telecommunications
Taras Shevchenko National University of Kyiv (UA), University of Bielsko-Biała (PL)
Openalex Percentile: Top 92%
Web Application Security Vulnerabilities
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