Eunsoo Kim (KAIST), Dongkwan Kim (KAIST), CheolJun Park (KAIST), Insu Yun (KAIST), Yongdae Kim (KAIST)

Cellular basebands play a crucial role in mobile communication. However, it is significantly challenging to assess their security for several reasons. Manual analysis is inevitable because of the obscurity and complexity of baseband firmware; however, such analysis requires repetitive efforts to cover diverse models or versions. Automating the analysis is also non-trivial because the firmware is significantly large and contains numerous functions associated with complex cellular protocols. Therefore, existing approaches on baseband analysis are limited to only a couple of models or versions within a single vendor. In this paper, we propose a novel approach named BaseSpec, which performs a comparative analysis of baseband software and cellular specifications. By leveraging the standardized message structures in the specification, BaseSpec inspects the message structures implemented in the baseband software systematically. It requires a manual yet one-time analysis effort to determine how the message structures are embedded in target firmware. Then, BaseSpec compares the extracted message structures with those in the specification syntactically and semantically, and finally, it reports mismatches. These mismatches indicate the developer mistakes, which break the compliance of the baseband with the specification, or they imply potential vulnerabilities. We evaluated BaseSpec with 18 baseband firmware images of 9 models from one of the top three vendors and found hundreds of mismatches. By analyzing these mismatches, we discovered 9 erroneous cases: 5 functional errors and 4 memory-related vulnerabilities. Notably, two of these are critical remote code execution 0-days. Moreover, we applied BaseSpec to 3 models from another vendor, and BaseSpec found multiple mismatches, two of which led us to discover a buffer overflow bug.

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Доверя́й, но проверя́й: SFI safety for native-compiled Wasm

Evan Johnson (University of California San Diego), David Thien (University of California San Diego), Yousef Alhessi (University of California San Diego), Shravan Narayan (University Of California San Diego), Fraser Brown (Stanford University), Sorin Lerner (University of California San Diego), Tyler McMullen (Fastly Labs), Stefan Savage (University of California San Diego), Deian Stefan (University of California…

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POP and PUSH: Demystifying and Defending against (Mach) Port-oriented...

Min Zheng (Orion Security Lab, Alibaba Group), Xiaolong Bai (Orion Security Lab, Alibaba Group), Yajin Zhou (Zhejiang University), Chao Zhang (Institute for Network Science and Cyberspace, Tsinghua University), Fuping Qu (Orion Security Lab, Alibaba Group)

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Luke Craig, Tim Leek (MIT Lincoln Laboratory), Andrew Fasano, Tiemoko Ballo (MIT Lincoln Laboratory, Northeastern University), Brendan Dolan-Gavitt (New York University), William Robertson (Northeastern University)

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A First Look at Scams on YouTube

Elijah Bouma-Sims, Bradley Reaves (North Carolina State University)

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