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.

View More Papers

A Duty to Forget, a Right to be Assured?...

Hongsheng Hu (CSIRO's Data61), Shuo Wang (CSIRO's Data61), Jiamin Chang (University of New South Wales), Haonan Zhong (University of New South Wales), Ruoxi Sun (CSIRO's Data61), Shuang Hao (University of Texas at Dallas), Haojin Zhu (Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61)

Read More

The Impact of Workload on Phishing Susceptibility: An Experiment

Sijie Zhuo (University of Auckland), Robert Biddle (University of Auckland and Carleton University, Ottawa), Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle Lottridge, Giovanni Russello (University of Auckland)

Read More

Understanding the Implementation and Security Implications of Protective DNS...

Mingxuan Liu (Zhongguancun Laboratory; Tsinghua University), Yiming Zhang (Tsinghua University), Xiang Li (Tsinghua University), Chaoyi Lu (Tsinghua University), Baojun Liu (Tsinghua University), Haixin Duan (Tsinghua University; Zhongguancun Laboratory), Xiaofeng Zheng (Institute for Network Sciences and Cyberspace, Tsinghua University; QiAnXin Technology Research Institute & Legendsec Information Technology (Beijing) Inc.)

Read More

Enhancing Symbolic Execution by Machine Learning Based Solver Selection

Sheng-Han Wen (National Taiwan University), Wei-Loon Mow (National Taiwan University), Wei-Ning Chen (National Taiwan University), Chien-Yuan Wang (National Taiwan University), Hsu-Chun Hsiao (National Taiwan University)

Read More