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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Tianchang Yang (Pennsylvania State University), Sathiyajith K S (Pennsylvania State University), Ashwin Senthil Arumugam (Pennsylvania State University), Syed Rafiul Hussain (Pennsylvania State University)

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DeFiIntel: A Dataset Bridging On-Chain and Off-Chain Data for...

Iori Suzuki (Graduate School of Environment and Information Sciences, Yokohama National University), Yin Minn Pa Pa (Institute of Advanced Sciences, Yokohama National University), Nguyen Thi Van Anh (Institute of Advanced Sciences, Yokohama National University), Katsunari Yoshioka (Graduate School of Environment and Information Sciences, Yokohama National University)

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URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning

Duanyi Yao (Hong Kong University of Science and Technology), Songze Li (Southeast University), Xueluan Gong (Wuhan University), Sizai Hou (Hong Kong University of Science and Technology), Gaoning Pan (Hangzhou Dianzi University)

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Query Privacy in Data Spaces

Shuwen Liu (School of Data Science, The Chinese University of Hong Kong, Shenzhen, China), George C. Polyzos (School of Data Science, The Chinese University of Hong Kong, Shenzhen, China and ExcID P.C., Athens, Greece)

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