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DOI: 10.14569/IJACSA.2021.0120599
PDF

Black-box Fuzzing Approaches to Secure Web Applications: Survey

Author 1: Aseel Alsaedi
Author 2: Abeer Alhuzali
Author 3: Omaimah Bamasag

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Web applications are increasingly important tools in our modern daily lives, such as in education, business transac-tions, and social media. Because of their prevalence, they are becoming more susceptible to different types of attacks that exploit security vulnerabilities. Exploiting these vulnerabilities may cause damage to the web applications as well as the end-users. Thus, web apps’ developers should identify vulnerabilities and fix them before an attacker exploits them. Using black-box fuzzing techniques for vulnerability identification is very popular during the web apps’ development life cycle. These techniques pledge to find vulnerabilities in web applications by constructing attacks without accessing their source codes. This survey explores the research that has been done in the black-box vulnerability finding and exploits construction in web applications and proposes future directions.

Keywords: Black-box fuzzing; web application security; vulner-ability scanning; automatic web app testing; vulnerability detection; survey

Aseel Alsaedi, Abeer Alhuzali and Omaimah Bamasag, “Black-box Fuzzing Approaches to Secure Web Applications: Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120599

@article{Alsaedi2021,
title = {Black-box Fuzzing Approaches to Secure Web Applications: Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120599},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120599},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {Aseel Alsaedi and Abeer Alhuzali and Omaimah Bamasag}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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