Computer Vision Annotation Tool

CVAT is an open source interactive video and image annotation tool for computer vision. In versions 1.0.0 through 2.54.0, users that have the staff status may freely change their permissions, including giving themselves superuser status and joining the admin group, which gives them full access to the data in the CVAT instance. Version 2.55.0 fixes the issue. As a workaround, review the list of users with staff status and revoke it from any users that are not expected to have superuser privileges.

Published: 2026-01-21T21:40:25.214Z
Updated: 2026-02-26T14:44:33.583Z

CVAT is an open source interactive video and image annotation tool for computer vision. In versions 2.2.0 through 2.54.0, an attacker is able to execute arbitrary JavaScript in a victim user's CVAT UI session, provided that they are able to create a maliciously crafted label in a CVAT task or project, then get the victim user to either edit that label, or view a shape that refers to that label; and/or get the victim user to upload a maliciously crafted SVG image when configuring a skeleton. This gives the attacker temporary access to all CVAT resources that the victim user can access. Version 2.55.0 fixes the issue.

Published: 2026-01-21T21:38:32.971Z
Updated: 2026-02-26T14:44:33.999Z

CVAT is an open source interactive video and image annotation tool for computer vision. In versions 2.8.1 through 2.52.0, an attacker with an account on a CVAT instance is able to retrieve the contents of any file system directory accessible to the CVAT server. The exposed information is names of contained files and subdirectories. The contents of files are not accessible. Version 2.53.0 contains a patch. No known workarounds are available.

Published: 2025-12-19T17:11:46.949Z
Updated: 2025-12-19T17:59:36.869Z

CVAT is an open source interactive video and image annotation tool for computer vision. In versions 1.1.0 through 2.41.0, email verification was not enforced when using Basic HTTP Authentication. As a result, users could create accounts using fake email addresses and use the product as verified users. Additionally, the missing email verification check leaves the system open to bot signups and further usage. CVAT 2.42.0 and later versions contain a fix for the issue. CVAT Enterprise customers have a workaround available; those customers may disable registration to prevent this issue.

Published: 2025-07-30T14:32:03.675Z
Updated: 2025-07-30T14:45:10.490Z

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.

Published: 2025-06-25T15:05:41.938Z
Updated: 2025-06-25T20:04:39.361Z