
Preliminary training for the CTF round was provided to competition applicants. Through this training, participants acquired basic knowledge of static analysis, dynamic analysis, and system hacking related to automotive security, and became familiar with the languages and tools required for each type of analysis.


The preliminary round consisted of a total of 10 CTF challenges. The problems covered various categories, including Pwnable, Misc, and Reversing, as well as automotive-specific challenges, in order to evaluate participants’ hacking and cybersecurity capabilities.


Training on the main tracks of the final round was provided to participants who passed the preliminary round. The training covered various communication protocols used in real vehicles, including CAN, RF, and BLE. Through both theory and practice, participants improved their understanding of vehicle hacking and became familiar with the equipment required for automotive hacking.


The final round addressed advanced real-world security threats, including protocol-based attack scenarios targeting actual vehicles, hardware hacking, and bypassing intrusion detection systems (IDS) using CAN attack data. Participants challenged themselves with more advanced automotive security problems.



Through the CAN, RF, and BLE attack tracks, final-round participants analyzed the given communication scenarios and solved the assigned challenges. This track evaluated participants’ understanding of communication protocols and their analysis capabilities.

Through the hardware attack track, final-round participants accessed the input/output ports or shell of the given vehicle infotainment system and solved the assigned challenges. This track evaluated participants’ understanding of the hardware boot process and their shell hacking capabilities.

Through the CAN IDS attack and defense challenge, in which participants attempted to evade detection by a simple IDS model developed by the organizers and deployed on a real vehicle, this track evaluated final-round participants’ CAN packet analysis capabilities and their understanding of IDS operating principles for detection evasion.