Jack Royer (CentraleSupélec), Frédéric TRONEL (CentraleSupélec, Inria, CNRS, University of Rennes), Yaëlle Vinçont (Univ Rennes, Inria, CNRS, IRISA)

Reverse engineering of software is used to analyze the behavior of malicious programs, find vulnerabilities in software, or design interoperability solutions. Although this activity largely relies on dedicated software toolbox, it is still largely manual. In order to facilitate these tasks, many tools provide analysts with an interface to visualize Control Flow Graph (CFG) of a function. Properly laying out the CFG is therefore extremely important to facilitate manual reverse engineering. However, CFGs are often laid out with general algorithms rather than domain-specific ones. This leads to subpar graph layouts. In this paper, we provide a comprehensive state-of-the-art for CFG layout techniques. We propose a modified layout algorithm that showcases the patterns analysts are looking for. Finally, we compare layouts offered by popular binary analysis frameworks with our own.

View More Papers

Safety Misalignment Against Large Language Models

Yichen Gong (Tsinghua University), Delong Ran (Tsinghua University), Xinlei He (Hong Kong University of Science and Technology (Guangzhou)), Tianshuo Cong (Tsinghua University), Anyu Wang (Tsinghua University), Xiaoyun Wang (Tsinghua University)

Read More

Be Careful of What You Embed: Demystifying OLE Vulnerabilities

Yunpeng Tian (Huazhong University of Science and Technology), Feng Dong (Huazhong University of Science and Technology), Haoyi Liu (Huazhong University of Science and Technology), Meng Xu (University of Waterloo), Zhiniang Peng (Huazhong University of Science and Technology; Sangfor Technologies Inc.), Zesen Ye (Sangfor Technologies Inc.), Shenghui Li (Huazhong University of Science and Technology), Xiapu Luo…

Read More

LLMPirate: LLMs for Black-box Hardware IP Piracy

Vasudev Gohil (Texas A&M University), Matthew DeLorenzo (Texas A&M University), Veera Vishwa Achuta Sai Venkat Nallam (Texas A&M University), Joey See (Texas A&M University), Jeyavijayan Rajendran (Texas A&M University)

Read More