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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Hope of Delivery: Extracting User Locations From Mobile Instant...

Theodor Schnitzler (Research Center Trustworthy Data Science and Security, TU Dortmund, and Ruhr-Universität Bochum), Katharina Kohls (Radboud University), Evangelos Bitsikas (Northeastern University and New York University Abu Dhabi), Christina Pöpper (New York University Abu Dhabi)

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A Robust Counting Sketch for Data Plane Intrusion Detection

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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JMPscare: Introspection for Binary-Only Fuzzing

Dominik Maier, Lukas Seidel (TU Berlin)

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Efficient Dynamic Proof of Retrievability for Cold Storage

Tung Le (Virginia Tech), Pengzhi Huang (Cornell University), Attila A. Yavuz (University of South Florida), Elaine Shi (CMU), Thang Hoang (Virginia Tech)

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