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Search Results (5 CVEs found)
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-49135 | 2 Cvat, Cvat-ai | 2 Computer Vision Annotation Tool, Cvat | 2025-09-15 | 6.5 Medium |
| 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. | ||||
| CVE-2025-54573 | 2 Cvat, Cvat-ai | 2 Computer Vision Annotation Tool, Cvat | 2025-09-11 | 4.3 Medium |
| 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. | ||||
| CVE-2022-31188 | 1 Cvat | 1 Cvat | 2025-04-22 | 8.6 High |
| CVAT is an opensource interactive video and image annotation tool for computer vision. Versions prior to 2.0.0 were found to be subject to a Server-side request forgery (SSRF) vulnerability. Validation has been added to urls used in the affected code path in version 2.0.0. Users are advised to upgrade. There are no known workarounds for this issue. | ||||
| CVE-2024-37306 | 1 Cvat | 2 Computer Vision Annotation Tool, Cvat | 2025-01-21 | 7.1 High |
| Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. Starting in version 2.2.0 and prior to version 2.14.3, if an attacker can trick a logged-in CVAT user into visiting a malicious URL, they can initiate a dataset export or a backup from a project, task or job that the victim user has permission to export into a cloud storage that the victim user has access to. The name of the resulting file can be chosen by the attacker. This implies that the attacker can overwrite arbitrary files in any cloud storage that the victim can access and, if the attacker has read access to the cloud storage used in the attack, they can obtain media files, annotations, settings and other information from any projects, tasks or jobs that the victim has permission to export. Version 2.14.3 contains a fix for the issue. No known workarounds are available. | ||||
| CVE-2024-47063 | 2 Cvat, Cvat-ai | 2 Computer Vision Annotation Tool, Cvat | 2024-10-30 | 6.1 Medium |
| Computer Vision Annotation Tool (CVAT) is an interactive video and image annotation tool for computer vision. If a malicious CVAT user with permissions to either create a task, or edit an existing task can trick another logged-in user into visiting a maliciously-constructed URL, they can initiate any API calls on that user's behalf. This gives the attacker temporary access to all data that the victim user has access to. Upgrade to CVAT 2.19.0 or a later version to fix this issue. | ||||
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