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.

CVSS v3 6.5 MEDIUM

6.5^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 2.8 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact NONE

Availability Impact NONE

Scope UNCHANGED

References

Link	Resource
https://github.com/cvat-ai/cvat/commit/dbafd9c0287489bea00e1db626f64b107f90bfc9	Patch
https://github.com/cvat-ai/cvat/security/advisories/GHSA-frpr-5w6q-hh4f	Vendor Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:cvat:computer_vision_annotation_tool:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2025-06-25 15:15

Updated : 2025-09-15 15:12

NVD link : CVE-2025-49135

Mitre link : CVE-2025-49135

CVE.ORG link : CVE-2025-49135

JSON object : View

Products Affected

cvat

computer_vision_annotation_tool

CWE

CWE-639

Authorization Bypass Through User-Controlled Key

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