Abstract
Concolic execution has become a promising technique for program analysis in recent years, whereas it rarely applies to Python applications. In this work, we propose a concolic execution engine for Python applications named Conpy. Conpy is easy to deploy since it is written in pure Python and it is not dependent on any third-party tools. Conpy is also easy to use. Anyone with basic knowledge of Python and concolic execution can quickly get start with Conpy. Besides, Conpy works in low level and produces human-readable reports which facilitate subsequent analysis. We then make an elaborate performance testing on Conpy. Results show that the overhead of Conpy is acceptable, that is to say, less than one order of magnitude in most cases.
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Chen, T., Zhang, Xs., Chen, Rd., Yang, B., Bai, Y. (2014). Conpy: Concolic Execution Engine for Python Applications. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8631. Springer, Cham. https://doi.org/10.1007/978-3-319-11194-0_12
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DOI: https://doi.org/10.1007/978-3-319-11194-0_12
Publisher Name: Springer, Cham
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