Carson Green, Rik Chatterjee, Jeremy Daily (Colorado State University)

Modern automotive operations are governed by embedded computers that communicate over standardized protocols, forming the backbone of vehicular networking. In the domain of commercial vehicles, these systems predominantly rely on the high-level protocols running on top of the Controller Area Network (CAN) protocol for internal communication in medium and heavy-duty applications. Critical to this ecosystem is the Unified Diagnostics Services (UDS) protocol, outlined in ISO 14229 (Unified Diagnostic Services - UDS) and ISO 15765 (Diagnostic Communication over CAN), which provides essential diagnostic functionalities. This paper presents three distinct scenarios, demonstrating potential shortcomings of the UDS protocol standards and how they can be exploited to launch attacks on in-vehicle computers in commercial vehicles while bypassing security mechanisms.

In the initial two scenarios, we identify and demonstrate two vulnerabilities in the ISO 14229 protocol specifications. Subsequently, in the final scenario, we highlight and demonstrate a vulnerability specific to the ISO 15765 protocol specifications.

For demonstration purposes, bench-level test systems equipped with real Electronic Control Units (ECUs) connected to a CAN bus were utilized. Additional testing was conducted on a comprehensively equipped front cab assembly of a 2018 Freightliner Cascadia truck, configured as an advanced test bench. The test results reveal how attacks targeting specific protocols can compromise individual ECUs. Furthermore, in the Freightliner Cascadia truck setup, we found a network architecture typical of modern vehicles, where a gateway unit segregates internal ECUs from diagnostics. This gateway, while designed to block standard message injection and spoofing attacks, specifically allows all UDS-based diagnostic messages. This selective allowance inadvertently creates a vulnerability to UDS protocol attacks, underscoring a critical area for security enhancements in commercial vehicle networks. These findings are crucial for engineers and programmers responsible for implementing the diagnostic protocols in their communication subsystems, emphasizing the need for enhanced security measures.

View More Papers

LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions,...

Takami Sato (University of California, Irvine), Yuki Hayakawa (Keio University), Ryo Suzuki (Keio University), Yohsuke Shiiki (Keio University), Kentaro Yoshioka (Keio University), Qi Alfred Chen (University of California, Irvine)

Read More

Maginot Line: Assessing a New Cross-app Threat to PII-as-Factor...

Fannv He (National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences, China), Yan Jia (DISSec, College of Cyber Science, Nankai University, China), Jiayu Zhao (National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences, China), Yue Fang (National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences, China),…

Read More

Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR

Huiling Chen (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Wenqiang Jin (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Yupeng Hu (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Zhenyu Ning (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Kenli Li (College…

Read More

WIP: Adversarial Object-Evasion Attack Detection in Autonomous Driving Contexts:...

Rao Li (The Pennsylvania State University), Shih-Chieh Dai (Pennsylvania State University), Aiping Xiong (Penn State University)

Read More