SANER 2017

2017 IEEE 24th International Conference on Software Analysis, Evolution, and Reengineering (SANER), February 20-24, 2017, Klagenfurt, Austria

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Binaries and Evolution
Tool Demonstrations
scat: Learning from a Single Execution of a Binary
Franck de Goër, Christopher Ferreira, and Laurent Mounier
(LIG, France; University of Grenoble, France; VERIMAG, France)
Supplementary Material
Abstract: Retrieving information from a binary code is required in several application domains such as system integration or security analysis. Providing tools to help engineers in this task is therefore an important need. We present in this paper scat, an open-source toolbox, relying on lightweight runtime instrumentation to infer source-level and behavioral information from a binary code, like function prototypes or data-flow relations. We explain the functioning principle of this toolbox, and we give some results obtained on real examples to show its effectiveness.


Time stamp: 2020-02-27T17:46:53+01:00