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In this paper, we propose a new approach to infer state machine models fromprotocol implementations. Our method, STATEINSPECTOR, learns protocol states byusing novel program analyses to combine observations of run-time memory andI/O. It requires no access to source code and only lightweight executionmonitoring of the implementation under test. We demonstrate and evaluateSTATEINSPECTOR's effectiveness on numerous TLS and WPA/2 implementations. Inthe process, we show STATEINSPECTOR enables deeper state discovery, increasedlearning efficiency, and more insightful post-mortem analyses than existingapproaches. Further to improved learning, our method led us to discover severalconcerning deviations from the standards and a high impact vulnerability in aprominent Wi-Fi implementation.

The Closer You Look, The More You Learn: A Grey-box Approach to Protocol State Machine Learning