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CVE-2025-54573
July 30, 2025
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.
Affected Packages
https://github.com/cvat-ai/cvat.git (GITHUB):
Affected version(s) >=v1.1.0 <v2.42.0
Fix Suggestion:
Update to version v2.42.0
https://github.com/cvat-ai/cvat.git (GITHUB):
Affected version(s) >=v1.1.0 <v2.42.0
Fix Suggestion:
Update to version v2.42.0
https://github.com/cvat-ai/cvat.git (GITHUB):
Affected version(s) >=v1.1.0 <v2.42.0
Fix Suggestion:
Update to version v2.42.0
https://github.com/cvat-ai/cvat.git (GITHUB):
Affected version(s) >=v1.1.0 <v2.42.0
Fix Suggestion:
Update to version v2.42.0
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CVSS v4
Base Score:
5.3
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
4.3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
LOW
Weakness Type (CWE)
Improper Authentication
EPSS
Base Score:
0.07