DocumentCode
2946321
Title
State of the Art: Automated Black-Box Web Application Vulnerability Testing
Author
Bau, Jason ; Bursztein, Elie ; Gupta, Divij ; Mitchell, John
Author_Institution
Stanford Univ., Stanford, CA, USA
fYear
2010
fDate
16-19 May 2010
Firstpage
332
Lastpage
345
Abstract
Black-box web application vulnerability scanners are automated tools that probe web applications for security vulnerabilities. In order to assess the current state of the art, we obtained access to eight leading tools and carried out a study of: (i) the class of vulnerabilities tested by these scanners, (ii) their effectiveness against target vulnerabilities, and (iii) the relevance of the target vulnerabilities to vulnerabilities found in the wild. To conduct our study we used a custom web application vulnerable to known and projected vulnerabilities, and previous versions of widely used web applications containing known vulnerabilities. Our results show the promise and effectiveness of automated tools, as a group, and also some limitations. In particular, "stored" forms of Cross Site Scripting (XSS) and SQL Injection (SQLI) vulnerabilities are not currently found by many tools. Because our goal is to assess the potential of future research, not to evaluate specific vendors, we do not report comparative data or make any recommendations about purchase of specific tools.
Keywords
Automatic testing; Code standards; Computer hacking; Credit cards; Data security; Decision support systems; Forgery; Personnel; Privacy; Probes;
fLanguage
English
Publisher
ieee
Conference_Titel
Security and Privacy (SP), 2010 IEEE Symposium on
Conference_Location
Oakland, CA, USA
ISSN
1081-6011
Print_ISBN
978-1-4244-6894-2
Electronic_ISBN
1081-6011
Type
conf
DOI
10.1109/SP.2010.27
Filename
5504795
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