Rogue Robots: Testing the Limits of an Industrial Robot’s Security

Abstract

Vulnerabilities in protocols and software running industrial robots are by now widely known, but to date, there has been no in-depth, hands-on research that demonstrates to what extent robots can actually be compromised. For the first time, with this research—a collaboration between Politecnico di Milano (POLIMI) and the Trend Micro Forward-Looking Threat Research (FTR) Team—we have been able to analyze the impact of system-specific attacks and demonstrate attack scenarios on actual standard industrial robots in a controlled environment. In industrial devices, the impact of a single, simple software vulnerability can already have serious consequences. Depending on the actual setup and security posture of the targeted smart factory, attackers could trigger attacks that could amount to massive financial damage to the company in question or at worst, even affect critical goods. Almost all industry sectors that are critical for a nation are potentially at risk. Unfortunately, the Industry 4.0 revolution is just bringing industrial robots closer to the forefront. As improvements in the way industrial robots work and communicate increase their complexity and interconnectedness, the industrial robots sector unlocks a broader attack surface. In our security analysis, we found that the software running on these devices is outdated; based on vulnerable OSs and libraries, sometimes relying on obsolete or cryptographic libraries; and have weak authentication systems with default, unchangeable credentials. Additionally, the Trend Micro FTR Team found tens of thousands of industrial devices residing on public IP addresses, which could include exposed industrial robots, further increasing the risk that an attacker can access and hack them. The impact of vulnerabilities, for example on robots, is what makes our findings a very loud wake-up call for the industrial control systems (ICS) sector. To quantify such impact, our security analysis revealed that industrial robots must follow three fundamental laws—accurately “read” from the physical world through sensors and “write” (i.e., perform actions) through motors and tools, refuse to execute self-damaging control logic, and most importantly, echo one of the “Laws of Robotics” (devised by Isaac Asimov, a popular science writer) to never harm humans. Then, by combining the set of vulnerabilities that we discovered on a real, standard robot installed in our laboratory, we demonstrated how remote attackers can violate such fundamental laws up to the point where they can alter or introduce minor defects in the manufactured product, physically damage the robot, steal industry secrets, or injure humans. We then considered some threat scenarios on how attackers capitalized on these attacks, as in an act of sabotage or a ransomware-like scheme. On the one hand, industrial devices are designed according to strict physical security and safety standards in order to work in rough conditions with extreme temperature ranges, vibrations, and electromagnetic noise. On the other, because of the ubiquity and flexibility demanded by the Industry 4.0 trend, industrial devices are being designed to be flexible, easy to deploy, and to not necessarily require any special security or IT skills. These opposing design requirements make producers very prone to introducing software bugs. Rather than concluding this paper with a classic checklist for ICS vendors, we reflected on reasons why the situation has not changed much over the years. Thus, we provided a series of research and engineering challenges that we believe will make a difference in the journey to secure the Industry 4.0 ecosystem. On this journey toward improving the security posture of robots in the Industry 4.0 setting, we also began reaching out to vendors, among whom ABB Robotics stood out in that it readily welcomed suggestions we had to offer and even started working on a response plan that will affect its current product line without losing time.

Publication
TrendLabs

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