CVE-2025-49135 CVAT missing validation for in-progress backup upload names
Attackers with user accounts can steal other users' backup data by referencing their filenames during import due to missing ownership validation.
- Exploited in the wild
- Not known
- Login needed
- Any signed-in user
- Attackable
- Over the internet
- Victim action needed
- Not needed
- Fix
- None listed
What is CVE-2025-49135?
CVE-2025-49135 is a medium-severity missing authorization vulnerability in cvat-ai cvat, published on 25 Jun 2025. Any signed-in user can exploit it over the network, with no action from the victim.
Official description
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.
Weakness: CWE-639
Which versions are affected by CVE-2025-49135?
It affects 1 product.
Products include Cvat Computer Vision Annotation Tool.
How do I fix CVE-2025-49135?
No fix has been published for CVE-2025-49135 yet. Limit exposure of the affected software until one is available.
Upgrade, and check permissions on every request on the server, not only in the interface. More about Missing authorization.
Is CVE-2025-49135 being exploited?
There is no known exploitation of CVE-2025-49135 in the wild and no public exploit code.
Other vulnerabilities in cvat-ai cvat
- CVE-2025-23045 CVAT allows remote code execution via tracker Nuclio functions
- CVE-2026-23516 CVAT vulnerable to XSS via skeleton SVG images
- CVE-2022-31188 Server-Side Request Forgery Vulnerability in Computer Vision Annotation Tool (CVAT)
- CVE-2026-23526 CVAT vulnerable to privilege escalation of users with staff status
- CVE-2024-37164 CVAT SSRF via custom cloud storage endpoints
Sources
Also known as GHSA-frpr-5w6q-hh4f.