Matthew Revelle, Matt Parker, Kevin Orr (Kudu Dynamics)

Blaze is an open-source binary analysis framework that supports the construction and manipulation of inter-procedural control-flow graphs (ICFGs) and type checking on a lifted representation of program binaries. All analyses in Blaze are implemented in terms of a typed intermediate language—Path Intermediate Language (PIL). Blaze includes a unification-based type checker for PIL which is used to support the generation of SMT formulas and type inference. Blaze has been used to develop tools for reverse engineering and vulnerability discovery and provides a foundation for exploring the use of type systems and higher-level abstractions in the analysis of program binaries. This paper provides an overview of Blaze’s implementation, capabilities, and applications.

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Ron Marcovich, Orna Grumberg, Gabi Nakibly (Technion, Israel Institute of Technology)

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Sian Kim (Ewha Womans University), Changhun Jung (Ewha Womans University), RhongHo Jang (Wayne State University), David Mohaisen (University of Central Florida), DaeHun Nyang (Ewha Womans University)

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Florian Kerschbaum (University of Waterloo), Erik-Oliver Blass (Airbus), Rasoul Akhavan Mahdavi (University of Waterloo)

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Detecting Obfuscated Function Clones in Binaries using Machine Learning

Michael Pucher (University of Vienna), Christian Kudera (SBA Research), Georg Merzdovnik (SBA Research)

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