Learn&Fuzz: Machine Learning for Input Fuzzing

25 Jan 2017Patrice GodefroidHila PelegRishabh Singh

Fuzzing consists of repeatedly testing an application with modified, or fuzzed, inputs with the goal of finding security vulnerabilities in input-parsing code. In this paper, we show how to automate the generation of an input grammar suitable for input fuzzing using sample inputs and neural-network-based statistical machine-learning techniques... (read more)

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