CVE-2024-39780:The CVE-2024-39780 identifies a YAML deserialization vulnerability in the Robot Operating System (ROS) 'dynparam' tool, affecting ROS distributions Noetic and earlier. The flaw allows for the creation of arbitrary Python objects, enabling a local or remote user to craft and execute arbitrary Python code.

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The vulnerability is found in the 'dynparam' command-line tool of the Robot Operating System (ROS). This tool is used for getting, setting, and deleting parameters of a dynamically configurable node. The issue arises from the use of the yaml.load() function in the 'set' and 'get' verbs, which allows for the creation of arbitrary Python objects. This flaw can be exploited by a local or remote user to craft and execute arbitrary Python code. The affected ROS distributions include Noetic Ninjemys, Melodic Morenia, Kinetic Kame, and Indigo Igloo. The issue has been fixed for ROS Noetic via commit 3d93ac13603438323d7e9fa74e879e45c5fe2e8e.

Overview

The vulnerability is classified as a high severity issue with a CVSS base score of 8.4. It is categorized under CWE-502 (Deserialization of Untrusted Data) and CWE-20 (Improper Input Validation). The vulnerability was discovered externally and credited to Florencia Cabral Berenfus from the Ubuntu Robotics Team.

Remediation

The issue has been fixed for ROS Noetic via commit 3d93ac13603438323d7e9fa74e879e45c5fe2e8e. Users of the affected ROS distributions are advised to update to the latest version or apply the necessary patches to mitigate the risk.

References

The vulnerability is documented in the following link: https://github.com/ros/dynamic_reconfigure/pull/202

Industry ExposureMost to least
This section illustrates the prevalence of a specific Common Vulnerabilities and Exposures (CVE) across various industries based on customer reports. The ranking displays industries from the most to least affected by this particular vulnerability, offering valuable insight into where this CVE has been most frequently observed. This information can help organizations within these sectors prioritize their security efforts, understand their relative risk exposure compared to their peers, and focus remediation strategies where they are most needed. By understanding the industry-specific impact, organizations can make more informed decisions regarding patching, resource allocation, and overall risk management related to this CVE.

  1. Accommodation & Food Services
    Accommodation & Food Services
  2. Administrative, Support, Waste Management & Remediation Services
    Administrative, Support, Waste Management & Remediation Services
  3. Agriculture, Forestry Fishing & Hunting
    Agriculture, Forestry Fishing & Hunting
  4. Arts, Entertainment & Recreation
    Arts, Entertainment & Recreation
  5. Construction
    Construction
  6. Educational Services
    Educational Services
  7. Finance and Insurance
    Finance and Insurance
  8. Health Care & Social Assistance
    Health Care & Social Assistance
  9. Information
    Information
  10. Management of Companies & Enterprises
    Management of Companies & Enterprises
  11. Manufacturing
    Manufacturing
  12. Mining
    Mining
  13. Other Services (except Public Administration)
    Other Services (except Public Administration)
  14. Professional, Scientific, & Technical Services
    Professional, Scientific, & Technical Services
  15. Public Administration
    Public Administration
  16. Real Estate Rental & Leasing
    Real Estate Rental & Leasing
  17. Retail Trade
    Retail Trade
  18. Transportation & Warehousing
    Transportation & Warehousing
  19. Utilities
    Utilities
  20. Wholesale Trade
    Wholesale Trade

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Armis Vulnerability Intelligence Database