Automatic Generation of Tests to Exploit XML Injection Vulnerabilities in Web Applications

Sadeeq Jan, Annibale Panichella, Andrea Arcuri, Lionel Briand

Research output: Contribution to journalArticlepeer-review

Abstract

Modern enterprise systems can be composed of many web services (e.g., SOAP and RESTful). Users of such systems might not have direct access to those services, and rather interact with them through a single-entry point which provides a GUI (e.g., a web page or a mobile app). Although the interactions with such entry point might be secure, a hacker could trick such systems to send malicious inputs to those internal web services. A typical example is XML injection targeting SOAP communications. Previous work has shown that it is possible to automatically generate such kind of attacks using search-based techniques. In this paper, we improve upon previous results by providing more efficient techniques to generate such attacks. In particular, we investigate four different algorithms and two different fitness functions. A large empirical study, involving also two industrial systems, shows that our technique is effective at automatically generating XML injection attacks.

Original languageEnglish
Article number8125155
Pages (from-to)335-362
Number of pages28
JournalIEEE Transactions on Software Engineering
Volume45
Issue number4
DOIs
Publication statusPublished - 1 Apr 2019
Externally publishedYes

Keywords

  • Evolutionary testing
  • security testing
  • XML injection

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