• 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