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Performance Evaluation of Automated Web vulnerability scanners for cross platforms -Red Teaming

Gowda, Rohan (2023) Performance Evaluation of Automated Web vulnerability scanners for cross platforms -Red Teaming. Masters thesis, Dublin, National College of Ireland.

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Abstract

The rapid technical advancement of current times has produced favorable worldwide development. The digitization of private data in the modern day increases the likelihood that someone’s information will be compromised as technology develops. The need of doing security checks is significantly increasing as cyber threats grow. The most important element in this infrastructure security procedure is the penetration testing of networks and web applications. With this growth comes a larger need for assessment, benchmarking, and evaluation of the tools and processes penetration testers utilize. We explore some of the most popular automated web penetration testing tools available today and use benchmarking techniques to evaluate them for vulnerabilities in this study. In order to have more robust and accurate results and to give more scope by specifying tools on various operating systems, the research’s conclusion will be to identify several vulnerabilities utilizing multiple automated scanning tools and determine where each one’s strengths lie. The research’s conclusion will be to uncover several vulnerabilities using various automated scanning tools and pinpoint where each tool’s strengths lie in order to achieve more thorough and accurate results.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Heffernan, Niall
UNSPECIFIED
Uncontrolled Keywords: Penetration testing; automated scanning tools; vulnerabilities
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Tamara Malone
Date Deposited: 22 Oct 2024 11:21
Last Modified: 22 Oct 2024 11:21
URI: https://norma.ncirl.ie/id/eprint/7120

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