Auth bypass in Cvat Computer Vision Annotation Tool
CVE-2025-49135
CVAT is an open source interactive video and image annotation tool for computer vision. Versions 2.2.0 through 2.39.0 have no validation during the import process of a project or task backup to check that the filename specified in the query parameter refers to a TUS-uploaded file belonging to the same user. As a result, if an attacker with a CVAT account and a `user` role knows the filenames of other users' uploads, they could potentially access and steal data by creating projects or tasks using those files. This issue does not affect annotation or dataset TUS uploads, since in this case object-specific temporary directories are used. Users should upgrade to CVAT 2.40.0 or a later version to receive a patch. No known workarounds are available.
Vulnerability class: IDOR (Insecure Direct Object Reference)
EPSS: 0.003 (17.6th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N.
Affected products
- Cvat Computer_vision_annotation_tool
- Cvat-ai Cvat — versions >= 2.2.0, < 2.40.0
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC)
Frequently asked questions
- What is CVE-2025-49135?
- CVE-2025-49135 is a medium-severity vulnerability in Cvat Computer Vision Annotation Tool, classified under Authorization Bypass Through User-Controlled Key. CVSS score: 6.5/10. Published 2025-06-25.
- How severe is CVE-2025-49135?
- Medium severity. CVSS v3 base score is 6.5 out of 10.