2011 11th IEEE International Working Conference on Source Code Analysis and Manipulation

More and more web applications suffer the presence of cross-site scripting vulnerabilities that could be exploited by attackers to access sensitive information (such as credentials or credit card numbers). Hence proper tests are required to assess the security of web applications. In this paper, we...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
IEEE Staff (MitwirkendeR)
Körperschaft:
Institute of Electrical and Electronics Engineers
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
[Place of publication not identified] IEEE 2011
Zusammenfassung:
More and more web applications suffer the presence of cross-site scripting vulnerabilities that could be exploited by attackers to access sensitive information (such as credentials or credit card numbers). Hence proper tests are required to assess the security of web applications. In this paper, we resort to a search based approach for security testing web applications. We take advantage of static analysis to detect candidate cross-site scripting vulnerabilities. Input values that expose these vulnerabilities are searched by a genetic algorithm and, to help the genetic algorithm escape local optima, symbolic constraints are collected at run-time and passed to a solver. Search results represent test cases to be used by software developers to understand and fix security problems. We implemented this approach in a prototype and evaluated it on real world PHP code.
Umfang:
1 online resource
Anmerkungen:
Bibliographic Level Mode of Issuance: Monograph
Anmerkungen:
English
Schlagworte:
Source code (Computer science)
Bezugswerke: