Sharika Kumar (The Ohio State University), Imtiaz Karim, Elisa Bertino (Purdue University), Anish Arora (Ohio State University)

Trucks play a critical role in today’s transportation system, where minor disruptions can result in a major social impact. Intra Medium and Heavy Duty (MHD) communications broadly adopt SAE-J1939 recommended practices that utilize Name Management Protocol (NMP) to associate and manage source addresses with primary functions of controller applications. This paper exposes 19 vulnerabilities in the NMP, uses them to invent various logical attacks, in some cases leveraging and in all cases validating with formal methods, and discusses their impacts. These attacks can–➀ stealthily deny vehicle start-up by pre-playing recorded claims in monotonically descending order; ➁ successfully restrain critical vehicular device participation and institute a dead beef attack, causing reflash failure by performing a replay attack; ➂ cause stealthy address exhaustion, Thakaavath–exhaustion in Sanskrit, which rejects an address-capable controller application from network engagement by exhausting the usable address space via pre-playing claims in monotonically descending order; ➃ poison the controller application’s internally maintained source address-function association table after bypassing the imposter detection protection and execute a stealthy SA-NAME Table Poisoning Attack thereby disable radar and Anti Brake System (ABS), as well as obtain retarder braking torque dashboard warnings; ➄ cause Denial of Service (DoS) on claim messages by predicting the delay in an address reclaim and prohibiting the associated device from participating in the SAE-J1939 network; ➅ impersonate a working set master to alter the source addresses of controller applications to execute a Bot-Net attack; ➆ execute birthday attack, a brute-force collision attack to command an invalid or existing name, thereby causing undesired vehicle behavior. The impact of these attacks is validated by demonstrations on real trucks in operation in a practical setting and on bench setups with a real engine controller connected to a CAN bus.

View More Papers

A Comparison of Three Approaches to Assist Users in...

Michael Clark (Brigham Young University), Scott Ruoti (The University of Tennessee), Michael Mendoza (Imperial College London), Kent Seamons (Brigham Young University)

Read More

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)

Read More

MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots

Gelei Deng (Nanyang Technological University), Yi Liu (Nanyang Technological University), Yuekang Li (University of New South Wales), Kailong Wang (Huazhong University of Science and Technology), Ying Zhang (Virginia Tech), Zefeng Li (Nanyang Technological University), Haoyu Wang (Huazhong University of Science and Technology), Tianwei Zhang (Nanyang Technological University), Yang Liu (Nanyang Technological University)

Read More

Beyond the Bytes: Understanding the Limitations of Intrinsic Binary...

Peter Lafosse (Owner and Co-Founder of Vector 35 Inc.)

Read More