Alexander Balgavy (Independent), Marius Muench (University of Birmingham)

Embedded devices are a pervasive and at times invisible part of our lives. Due to this pervasiveness, security vulnerabilities may have severe consequences, particularly because many embedded devices are deployed in sensitive applications, such as the industrial, automotive, and medical sectors. Linux-based firmware has already been the subject of extensive research; however, a considerable part of embedded devices do not run Linux. Since current literature mostly focuses on Linux-based firmware, the ecosystem of non-Linux firmware is not well-known.

Therefore, in this paper, we aim to fill this gap in research with FIRMLINE, a pipeline suitable for a large-scale study of nonLinux-based firmware. Using this pipeline, we analyze 21,755 samples, obtained from previous studies and new sources. As part of a security assessment, we also investigate the presence of operating systems and memory protections for a subset of 756 non-Linux ARM samples and find that the majority do not make use of either. Our work will allow for further research of non-Linux firmware, such as refining generic analysis techniques or investigating the OS and deployed security facilities of such firmware in more detail.

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Kavita Kumari (Technical University of Darmstadt, Germany), Alessandro Pegoraro (Technical University of Darmstadt), Hossein Fereidooni (Technische Universität Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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On Requirements and Concepts for TT&C Link Key Management

Christoph Bader (Airbus Defence & Space GmbH)

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DeepGo: Predictive Directed Greybox Fuzzing

Peihong Lin (National University of Defense Technology), Pengfei Wang (National University of Defense Technology), Xu Zhou (National University of Defense Technology), Wei Xie (National University of Defense Technology), Gen Zhang (National University of Defense Technology), Kai Lu (National University of Defense Technology)

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Facilitating Threat Modeling by Leveraging Large Language Models

Isra Elsharef, Zhen Zeng (University of Wisconsin-Milwaukee), Zhongshu Gu (IBM Research)

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