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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Shanghao Shi (Virginia Tech), Ning Wang (University of South Florida), Yang Xiao (University of Kentucky), Chaoyu Zhang (Virginia Tech), Yi Shi (Virginia Tech), Y. Thomas Hou (Virginia Polytechnic Institute and State University), Wenjing Lou (Virginia Polytechnic Institute and State University)

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Leon Trampert (CISPA Helmholtz Center for Information Security), Daniel Weber (CISPA Helmholtz Center for Information Security), Lukas Gerlach (CISPA Helmholtz Center for Information Security), Christian Rossow (CISPA Helmholtz Center for Information Security), Michael Schwarz (CISPA Helmholtz Center for Information Security)

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Yuxi Wu (Georgia Institute of Technology and Northeastern University), Jacob Logas (Georgia Institute of Technology), Devansh Ponda (Georgia Institute of Technology), Julia Haines (Google), Jiaming Li (Google), Jeffrey Nichols (Apple), W. Keith Edwards (Georgia Institute of Technology), Sauvik Das (Carnegie Mellon University)

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THEMIS: Regulating Textual Inversion for Personalized Concept Censorship

Yutong Wu (Nanyang Technological University), Jie Zhang (Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore), Florian Kerschbaum (University of Waterloo), Tianwei Zhang (Nanyang Technological University)

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