Abstract
Security of modern information and communication systems has become a major concern. This tool paper presents Flinder-SCA, an original combined tool for vulnerability detection, implemented on top of Frama-C, a platform for collaborative verification of C programs, and Search Lab’s Flinder testing tool. Flinder-SCA includes three steps. First, abstract interpretation and taint analysis are used to detect potential vulnerabilities (alarms), then program slicing is applied to reduce the initial program, and finally a testing step tries to confirm detected alarms by fuzzing on the reduced program. We describe the proposed approach and the tool, illustrate its application for the recent OpenSSL/HeartBeat Heartbleed vulnerability, and discuss the benefits and industrial application perspectives of the proposed verification approach.
This work has been partially funded by the EU FP7 project STANCE (grant 317753).
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Notes
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For convenience of the reader, taint analysis results are illustrated in Sect. 7.1.
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For convenience of the reader, fuzzing results are illustrated in Sect. 7.2.
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as reported by Andrew Hintz, Google vulnerability analyst, see https://news.ycombinator.com/item?id=7558015.
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Acknowledgment
We thank the Frama-C team for providing the tools and support, and the anonymous referees for many helpful comments.
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© 2015 Springer International Publishing Switzerland
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Kiss, B., Kosmatov, N., Pariente, D., Puccetti, A. (2015). Combining Static and Dynamic Analyses for Vulnerability Detection: Illustration on Heartbleed. In: Piterman, N. (eds) Hardware and Software: Verification and Testing. HVC 2015. Lecture Notes in Computer Science(), vol 9434. Springer, Cham. https://doi.org/10.1007/978-3-319-26287-1_3
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DOI: https://doi.org/10.1007/978-3-319-26287-1_3
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