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
Link To Document :
بازگشت