With the rise of Artificial Intelligence, Advanced Driver Assistance System (ADAS) related technologies are under rapid development in the vehicle industry. Meanwhile, the security and safety of ADAS have also received extensive attention.
As a world-leading security research team, Tencent Keen Security Lab has been conducting continuous research in this area. At the Black Hat USA 2018 security conference, Keen Lab presented the first ever demonstration to remotely compromise the Autopilot system on a Tesla Model S (The attack chain has been fixed immediately after we reported to Tesla).
In later security research toward ADAS technologies, Keen Lab is focusing on areas like the AI model’s security of visual perception system, and architecture security of Autopilot system. Through deep experimental research on Tesla Autopilot, we acquired the following three achievements.
Tesla Autopilot can identify the wet weather through image recognition technology, and then turn on the wipers if necessary. Based on our research, with an adversarial example craftily generated in the physical world, the system will be interfered and return an “improper” result, then turn on the wipers.
Tesla Autopilot recognizes lanes and assists control by identifying road traffic markings. Based on the research, we proved that by placing interference stickers on the road, the Autopilot system will capture these information and make an abnormal judgement, which causes the vehicle to enter into the reverse lane.
After compromised the Autopilot system on the Tesla Model S(ver 2018.6.1), Keen Lab further proved that we can control the steering system through the Autopilot system with a wireless gamepad, even when the Autopilot system is not activated by the driver.
Please find our research video below for the demonstration, or click here to see the video.
For more technical details of our research, please refer the following link: Experimental Security Research of Tesla Autopilot.pdf
Tesla’s feedback on Autowipers:
“This research was demonstrated by displaying an image on a TV that was placed directly in front of the windshield of a car. This is not a real-world situation that drivers would face, nor is it a safety or security issue. Additionally, as we state in our Owners’Manual, the ‘Auto setting [for our windshield wipers] is currently in BETA.’ A customer can also elect to use the manual windshield wiper setting at any time.”
Tesla’s feedback on Lane Recognition:
“In this demonstration the researchers adjusted the physical environment (e.g. placing tape on the road or altering lane lines) around the vehicle to make the car behave differently when Autopilot is in use. This is not a real-world concern given that a driver can easily override Autopilot at any time by using the steering wheel or brakes and should be prepared to do so at all times.”
Tesla’s feedback for the “Control Steering System with a Gamepad” Research：
“The primary vulnerability addressed in this report was fixed by Tesla through a robust security update in 2017, followed by another comprehensive security update in 2018, both of which we released before this group reported this research to us. In the many years that we have had cars on the road, we have never seen a single customer ever affected by any of the research in this report.”
Tencent Keen Security Lab (in abbreviation “Keen Lab”) is a professional security research team, focusing on information security research of both attack and protection techniques, under Tencent Company. In the past years, Keen Lab built security research partnership with global manufactures in software, hardware, and internet industries, and achieved a lot of worldwide leading security research results.
Since the Year 2015, Keen Lab started research projects in IoT and Connected Vehicle[4,5,6] categories and building partnership with manufacturers in IoT and car industries. In the Year 2016 and 2017, Keen Lab published the well-known research globally on “Tesla Model S and Model X Remote Hacking” with leveraging “Responsible Disclosure” practice to report the vulnerabilities and attack chains to Tesla.