A Quantitative Assessment of the Detection Performance of Web Vulnerability Scanners
Emma Lavens, Pieter Philippaerts, Wouter Joosen
Abstract
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Emma Lavens, Pieter Philippaerts, Wouter Joosen
Abstract
Open-access reader
Software developers use web application vulnerability scanners to automatically identify security weaknesses in their web applications. The scanners inspect source code or analyze the running application, and look for specific vulnerability types. While it can be expected that a scanner will not discover every vulnerability, no information is available on the expected efficacy of currently available vulnerability scanners for a given vulnerability type. We present an analysis of 24 web vulnerability scanners and determine their effectiveness on 11 vulnerability types. Our study offers insights into the trade-offs when selecting a specific type of scanner. We show that for some vulnerability types, most vulnerability scanners perform poorly.
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Software developers use web application vulnerability scanners to automatically identify security weaknesses in their web applications. The scanners inspect source code or analyze the running application, and look for specific vulnerability types. While it can be expected that a scanner will not discover every vulnerability, no information is available on the expected efficacy of currently available vulnerability scanners for a given vulnerability type. We present an analysis of 24 web vulnerability scanners and determine their effectiveness on 11 vulnerability types. Our study offers insights into the trade-offs when selecting a specific type of scanner. We show that for some vulnerability types, most vulnerability scanners perform poorly.
Key concepts: Vulnerability management, Vulnerability (computing), Vulnerability assessment, Computer science, Software, Web application, Software security assurance, Computer security