[Paper Review] alurity, a toolbox for robot cybersecurity

Víctor Mayoral Vilches, Irati Abad-Fernández+9 more|arXiv (Cornell University)|Oct 15, 2020

Advanced Malware Detection Techniques31 references4 citations

TL;DR

alurity is a modular, composable cybersecurity toolbox designed to unify roboticists and security researchers through a consistent, reproducible development environment. It accelerates vulnerability triage and exploitation by enabling high-fidelity simulation and emulation of robotic systems, including hardware and software components, significantly reducing testing time and improving collaboration and reproducibility across teams.

ABSTRACT

The reuse of technologies and inherent complexity of most robotic systems is increasingly leading to robots with wide attack surfaces and a variety of potential vulnerabilities. Given their growing presence in public environments, security research is increasingly becoming more important than in any other area, specially due to the safety implications that robot vulnerabilities could cause on humans. We argue that security triage in robotics is still immature and that new tools must be developed to accelerate the testing-triage-exploitation cycle, necessary for prioritizing and accelerating the mitigation of flaws. The present work tackles the current lack of offensive cybersecurity research in robotics by presenting a toolbox and the results obtained with it through several use cases conducted over a year period. We propose a modular and composable toolbox for robot cybersecurity: alurity. By ensuring that both roboticists and security researchers working on a project have a common, consistent and easily reproducible development environment, alurity aims to facilitate the cybersecurity research and the collaboration across teams.

Motivation & Objective

• To address the growing complexity and wide attack surfaces in robotic systems, which increase cybersecurity risks and safety threats.
• To streamline the vulnerability triage, testing, and exploitation cycle in robotics by providing a unified development environment.
• To enhance collaboration between roboticists and security researchers through consistent, reproducible, and composable virtualized environments.
• To reduce reliance on physical hardware during security research by enabling high-fidelity simulation and emulation of robots and components.
• To accelerate responsible disclosure of vulnerabilities by enabling rapid, deterministic reproduction and proof-of-concept development.

Proposed method

• alurity employs OS-virtualization and hardware-virtualization to simulate both software and hardware components of robotic systems, including ROS-based systems and industrial devices like PLCs and HMIs.
• The toolbox uses YAML-based configuration files to define and rapidly switch between target scenarios, enabling quick setup of new test environments.
• It integrates established security tools and frameworks, reusing proven technologies to ensure reliability and reduce development overhead.
• alurity supports mixed simulation and emulation environments, allowing seamless integration of virtualized components with real hardware for final validation.
• The toolbox includes 'flows'—reproducible workflows that embed context into vulnerability reports, enhancing triage and exploit documentation.
• It enables automated pipelines for security testing, evaluation, and demonstration, supporting DevSecOps practices in robotics.

Experimental results

Research questions

• RQ1 How can a unified, reproducible development environment be established to accelerate vulnerability triage in robotics?
• RQ2 To what extent can simulation and emulation reduce the time and resource costs of testing robotic cybersecurity flaws?
• RQ3 How does the composability of modular tools in alurity improve collaboration between roboticists and security researchers?
• RQ4 Can high-fidelity virtualized environments effectively replace physical hardware for initial vulnerability testing and PoC development?
• RQ5 What impact does a standardized toolbox have on the speed and quality of responsible vulnerability disclosure in robotics?

Key findings

• alurity supports over 70 distinct modules, including security tools, industrial components, and robot systems, enabling comprehensive testing across diverse robotic platforms.
• The toolbox reduced testing time significantly, with simulation power-booting in seconds versus minutes for emulated or real robots.
• Researchers achieved parallel testing across teams, using only a few physical robots for final validation, greatly improving resource efficiency.
• The use of YAML-based configuration allowed rapid reconfiguration of test targets by modifying just one line, enhancing flexibility and scalability.
• alurity flows improved triage by embedding contextual workflows into vulnerability reports, increasing clarity and reproducibility of exploits.
• The toolbox enabled the discovery and responsible disclosure of dozens of vulnerabilities, resulting in multiple CVE identifiers from upstream manufacturers.