• DocumentCode
    2124086
  • Title

    CookieMonster: Automated Session Hijacking Archival and Analysis

  • Author

    Pauli, Joshua J. ; Engebretson, Patrick H. ; Ham, Michael J. ; Zautke, MarcCharles J.

  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    403
  • Lastpage
    407
  • Abstract
    We introduce a process-driven experiment named "CookieMonster" that can be ran against any cookie granting (i.e. session identification generation) application to test for strength of the cookie generation algorithm. The Cookie Monster processes are applicable to any operating system, web server, and web application as long as session identifiers are granted to requesting client machines. Our goal is to decipher how likely session hijacking attacks may be successful strictly because of weak session identifier generation by the web application. These processes and necessary infrastructure setup can be followed for future generations of web application and web server products because of the universal approach we created. Setup for the experiment includes a web server running a web application that grants session identifiers (cookies), an attack machine running our rapid request software (Bockscar) and a database for archival and analysis of the cookies.
  • Keywords
    Internet; security of data; Bockscar rapid request software; CookieMonster process-driven experiment; Web application; Web server products; cookie generation algorithm; cookie granting application; session hijacking analysis; session hijacking archival; session identification generation; Information technology; Yttrium; archiving; cookies; hijacking; sessions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-61284-427-5
  • Electronic_ISBN
    978-0-7695-4367-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2011.78
  • Filename
    5945269