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Sound and Static Analysis of Session Fixation Vulnerabilities in PHP Web Applications

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Published:22 March 2017Publication History

ABSTRACT

Web applications use authentication mechanisms to provide user-friendly content to users. However, some dangerous techniques like session fixation attacks target these mechanisms, by making the legitimate user use a session identifier that is controlled by the attacker. In this way, he can then impersonate the legitimate user without the need to know his credentials. In this paper, we present SAWFIX, a PHP static analyzer that checks web applications for session fixation vulnerabilities. To the best of our knowledge, SAWFIX is the first analyzer that checks exhaustively for this type of vulnerabilities, while the other methods only ensure partial correctness that is limited to a fraction of possible executions. SAWFIX is based on abstract interpretation, which is a theory for approximating the semantics of programs and allows designing static analyzers that are fully automatic and sound by construction. We implemented a prototype of our approach and tested it on several complex web applications. We obtained promising results in terms of detection accuracy and processing time, which reflects the efficiency of our system.

References

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  2. P. Cousot and R. Cousot. Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints. In Proc. 4th ACM symposium on Principles of programming languages, pages 238--252. ACM, 1977. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. De Ryck, N. Nikiforakis, L. Desmet, F. Piessens, and W. Joosen. Serene: self-reliant client-side protection against session fixation. In Proc. 12th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems, DAIS'12, pages 59--72. Springer-Verlag, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Johns, B. Braun, M. Schrank, and J. Posegga. Reliable protection against session fixation attacks. In Proc. 2011 ACM Symposium on Applied Computing, SAC '11, pages 1531--1537. ACM, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Y. Takamatsu, Y. Kosuga, and K. Kono. Automated detection of session fixation vulnerabilities. In Proc. 19th international conference on World wide web, WWW '10, pages 1191--1192. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Sound and Static Analysis of Session Fixation Vulnerabilities in PHP Web Applications

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        • Published in

          cover image ACM Conferences
          CODASPY '17: Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy
          March 2017
          382 pages
          ISBN:9781450345231
          DOI:10.1145/3029806

          Copyright © 2017 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 22 March 2017

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          Acceptance Rates

          CODASPY '17 Paper Acceptance Rate21of134submissions,16%Overall Acceptance Rate149of789submissions,19%

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