DocumentCode :
568998
Title :
Automated detection of session management vulnerabilities in web applications
Author :
Takamatsu, Yusuke ; Kosuga, Yuji ; Kono, Kenji
Author_Institution :
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
fYear :
2012
fDate :
16-18 July 2012
Firstpage :
112
Lastpage :
119
Abstract :
Many web applications employ session management to keep track of visitors´ activities across pages and over periods of time. A session is a period of time linked to a visitor, which is initiated when he/she arrives at a web application and it ends when his/her browser is closed or after a certain time of inactivity. Attackers can hijack a user´s session by exploiting session management vulnerabilities by means of session fixation and cross-site request forgery attacks. Even though such session management vulnerabilities can be eliminated in the development phase of web applications, the test operator is required to have detailed knowledge on the attacks and to set up a test environment each time he/she attempts to detect vulnerabilities. We propose a technique that automatically detects session management vulnerabilities in web applications by simulating real attacks. Our technique requires the test operator to only enter a few pieces of basic information about the web application, without requiring a test environment to be set up or detailed knowledge on the web application. Our experiments demonstrated that our technique could detect vulnerabilities in five web applications deployed in the real world.
Keywords :
Internet; security of data; transport protocols; Web browser; attack simulation; automatic session management vulnerability detection; cross-site request forgery attacks; session fixation; test operator; user inactivity; visitor activity tracking; Browsers; Data mining; Electronic mail; Force; Forgery; Knowledge engineering; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Privacy, Security and Trust (PST), 2012 Tenth Annual International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4673-2323-9
Electronic_ISBN :
978-1-4673-2325-3
Type :
conf
DOI :
10.1109/PST.2012.6297927
Filename :
6297927
Link To Document :
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