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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Benjamin Cyr and Yan Long (University of Michigan), Takeshi Sugawara (The University of Electro-Communications), Kevin Fu (Northeastern University)

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PowerRadio: Manipulate Sensor Measurement via Power GND Radiation

Yan Jiang (Zhejiang University), Xiaoyu Ji (Zhejiang University), Yancheng Jiang (Zhejiang University), Kai Wang (Zhejiang University), Chenren Xu (Peking University), Wenyuan Xu (Zhejiang University)

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What Makes Phishing Simulation Campaigns (Un)Acceptable? A Vignette Experiment

Jasmin Schwab (German Aerospace Center (DLR)), Alexander Nussbaum (University of the Bundeswehr Munich), Anastasia Sergeeva (University of Luxembourg), Florian Alt (University of the Bundeswehr Munich and Ludwig Maximilian University of Munich), and Verena Distler (Aalto University)

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Automatic Library Fuzzing through API Relation Evolvement

Jiayi Lin (The University of Hong Kong), Qingyu Zhang (The University of Hong Kong), Junzhe Li (The University of Hong Kong), Chenxin Sun (The University of Hong Kong), Hao Zhou (The Hong Kong Polytechnic University), Changhua Luo (The University of Hong Kong), Chenxiong Qian (The University of Hong Kong)

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