Kevan Baker, Daniel R. Tauritz, Samuel Mulder (Auburn University)

Binary analysis tools work better together. In the case of static analysis, symbolic execution tools are used to explore possible execution paths in a binary and decompilers are used to view binary code. In this paper, we discuss the bridging of these two types of tools, using state-of-the-art tools Binary Ninja and angr. We present a work-in-progress plugin for Binary Ninja named Bangr which integrates features of angr. With our plugin, we demonstrate how coupling angr and Binary Ninja enables answering questions that Binary Ninja cannot answer on its own. We further demonstrate the utility of having a graphical interface for angr, and conclude with a discussion on the Bangr plugin.

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BSFuzzer: Context-Aware Semantic Fuzzing for BLE Logic Flaw Detection

Ting Yang (Xidian University and Kanazawa University), Yue Qin (Central University of Finance and Economics), Lan Zhang (Northern Arizona University), Zhiyuan Fu (Hainan University), Junfan Chen (Hainan University), Jice Wang (Hainan University), Shangru Zhao (University of Chinese Academy of Sciences), Qi Li (Tsinghua University), Ruidong Li (Kanazawa University), He Wang (Xidian University), Yuqing Zhang (University…

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Rounding-Guided Backdoor Injection in Deep Learning Model Quantization

Xiangxiang Chen (Zhejiang University), Peixin Zhang (Singapore Management University), Jun Sun (Singapore Management University), Wenhai Wang (Zhejiang University), Jingyi Wang (Zhejiang University)

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Fuzzilicon: A Post-Silicon Microcode-Guided x86 CPU Fuzzer

Johannes Lenzen (Technical University of Darmstadt), Mohamadreza Rostami (Technical University of Darmstadt), Lichao Wu (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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