RVD
An open-source archive for robot vulnerabilities and bugs, using a robot-specific scoring system.
What is RVD?
RVD (Robot Vulnerability Database) is an open-source archive that collects, categorizes, and scores security vulnerabilities and bugs specifically affecting robots and their components. It addresses the lack of robotics-focused vulnerability resources by providing a structured database with a robot-specific severity scoring system (RVSS) and a community-driven reporting process.
Robot security researchers, cybersecurity professionals in robotics, robot manufacturers, and developers working on robotic systems who need to identify, report, or mitigate security flaws.
Developers choose RVD for its robotics-specific focus, RVSS scoring, and community-driven approach, which fills gaps left by general vulnerability databases like CVE/NVD and promotes transparency and timely disclosure in the robot industry.
Overview
Robot Vulnerability Database. An archive of robot vulnerabilities and bugs.
Use Cases
Best For
- Researching security vulnerabilities in industrial robots like ABB or KUKA systems
- Tracking and scoring robot-specific flaws using the RVSS framework
- Community reporting and disclosure of robot cybersecurity issues
- Comparing robot vulnerability data across vendors and components
- Integrating robot security data into CI/CD pipelines for automated checks
- Studying vulnerabilities in robot software stacks like ROS, ROS2, or PX4
Not Ideal For
- Organizations requiring real-time, guaranteed vulnerability feeds for compliance or monitoring
- Teams needing vendor-supported databases with professional SLAs and direct support channels
- Projects focused on general IoT or non-robotic embedded systems security
- Developers seeking automated vulnerability remediation or patch management tools
Pros & Cons
Pros
Employs the Robot Vulnerability Scoring System (RVSS) tailored for robotics, addressing limitations of generic systems like CVSS, as highlighted in the README's key features.
Allows open submission and discussion via GitHub issues with a 90-day disclosure policy, fostering collaboration and responsible reporting, as per the disclosure section.
Implements a formal taxonomy and YAML-based schema for consistent flaw categorization and CVE compatibility, ensuring organized data as described in the taxonomy docs.
Uses GitHub Actions for automated ticket management and syntax validation, reducing manual maintenance overhead, detailed in the CI/CD setup section.
Cons
The README shows last update in February 2023, and many vulnerabilities remain open, indicating potential inactivity or slow community contribution rates.
Requires adherence to specific templates and YAML schemas, which can be a barrier for casual reporters and slow down the submission workflow.
While aiming for CVE compatibility, it operates separately without direct feeds to mainstream databases, necessitating manual cross-referencing for comprehensive coverage.
Frequently Asked Questions
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