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Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency Cover

Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency

SEEU Review
Volume 20 (2025): Issue 1 (June 2025)
By: Gani Zogaj,  Florie Ismaili,  Ermira Idrizi and  Artan Luma  
Open Access
|Jun 2025

Authors

Gani Zogaj

gz30455@seeu.edu.mk

Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North Macedonia

Florie Ismaili

f.ismaili@seeu.edu.mk

Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North Macedonia

Ermira Idrizi

e.idrizi@seeu.edu.mk

Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North Macedonia

Artan Luma

a.luma@seeu.edu.mk

Faculty of Contemporary Sciences and Technologies, South East European University, Tetovo, North Macedonia
DOI: https://doi.org/10.2478/seeur-2025-0021 | Journal eISSN: 1857-8462
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Language: English
Page range: 136 - 152
Published on: Jun 30, 2025
Published by: South East European University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Vulnerability Scanning,
Nessus,
Acunetix,
OWASP ZAP,
BeSECURE,
Web Application,
Vulnerability Detection Tools,
Comparative Analysis and Cybersecurity
Related subjects:
General interest

© 2025 Gani Zogaj, Florie Ismaili, Ermira Idrizi, Artan Luma, published by South East European University
This work is licensed under the Creative Commons Attribution 4.0 License.

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