Stephan Havermans (IMDEA Software Institute), Lars Baumgaertner, Jussi Roberts, Marcus Wallum (European Space Agency), Juan Caballero (IMDEA Software Institute)

Space systems are critical assets and protecting them against cyberattacks is a paramount challenge that has received limited attention. In particular, it is fundamental to secure spacecraft communications by identifying and removing potential vulnerabilities in the implementations of space (communication) protocols, which could be remotely exploited by attackers. This work reports our preliminary experiences when fuzzing five open-source implementations of four space protocols using two approaches: grammar-based fuzzing and coverageguided fuzzing. To enable the fuzzing, we created grammars for the protocols and custom harnesses for the targets. Our fuzzing identified 11 vulnerabilities across four targets caused by typical memory-related bugs such as double-frees, out-of-bounds reads, and the use of uninitialized variables. We responsibly disclosed the vulnerabilities. To date, 5 vulnerabilities have been patched and 4 have been awarded CVE identifiers. Additionally, we discovered a discrepancy in how one target interprets a protocol standard, which we reported and has since been fixed.

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Balancing Privacy and Data Utilization: A Comparative Vignette Study...

Leona Lassak (Ruhr University Bochum), Hanna Püschel (TU Dortmund University), Oliver D. Reithmaier (Leibniz University Hannover), Tobias Gostomzyk (TU Dortmund University), Markus Dürmuth (Leibniz University Hannover)

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RContainer: A Secure Container Architecture through Extending ARM CCA...

Qihang Zhou (Institute of Information Engineering, Chinese Academy of Sciences), Wenzhuo Cao (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyberspace Security, University of Chinese Academy of Sciences), Xiaoqi Jia (Institute of Information Engineering, Chinese Academy of Sciences), Peng Liu (The Pennsylvania State University, USA), Shengzhi Zhang (Department of Computer Science, Metropolitan College,…

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LLM-xApp: A Large Language Model Empowered Radio Resource Management...

Xingqi Wu (University of Michigan-Dearborn), Junaid Farooq (University of Michigan-Dearborn), Yuhui Wang (University of Michigan-Dearborn), Juntao Chen (Fordham University)

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