CVE-2025-48381

Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. In versions starting from 2.4.0 to before 2.38.0, an authenticated CVAT user may be able to retrieve the IDs and names of all tasks, projects, labels, and the IDs of all jobs and quality reports on the CVAT instance. In addition, if the instance contains many resources of a particular type, retrieving this information may tie up system resources, denying access to legitimate users. This issue has been patched in version 2.38.0.

Weakness

The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor.

Potential Mitigations

• Compartmentalize the system to have “safe” areas where trust boundaries can be unambiguously drawn. Do not allow sensitive data to go outside of the trust boundary and always be careful when interfacing with a compartment outside of the safe area.
• Ensure that appropriate compartmentalization is built into the system design, and the compartmentalization allows for and reinforces privilege separation functionality. Architects and designers should rely on the principle of least privilege to decide the appropriate time to use privileges and the time to drop privileges.

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/12.html
• https://cwe.mitre.org/data/definitions/217.html
• https://cwe.mitre.org/data/definitions/612.html
• https://cwe.mitre.org/data/definitions/613.html
• https://cwe.mitre.org/data/definitions/618.html
• https://cwe.mitre.org/data/definitions/619.html
• https://cwe.mitre.org/data/definitions/621.html
• https://cwe.mitre.org/data/definitions/622.html
• https://cwe.mitre.org/data/definitions/623.html

References

• https://github.com/cvat-ai/cvat/commit/7136c99fb2c3a5cb2d8c3ca54b4201b9fa6aab5a
• https://github.com/cvat-ai/cvat/security/advisories/GHSA-7484-2gfm-852p