Description

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.

INFO

Published Date :

2025-07-30T14:32:03.675Z

Last Modified :

2025-07-30T14:45:10.490Z

Source :

GitHub_M
AFFECTED PRODUCTS

The following products are affected by CVE-2025-54573 vulnerability.

Vendors Products
Cvat
  • Computer Vision Annotation Tool
Cvat-ai
  • Cvat
REFERENCES

Here, you will find a curated list of external links that provide in-depth information to CVE-2025-54573.

URL Resource
https://github.com/cvat-ai/cvat/commit/bc20eff16b8406fbb755f6540e6f269da0c9c5b2 cve-icon cve-icon
https://github.com/cvat-ai/cvat/security/advisories/GHSA-fxgh-m76j-242q cve-icon cve-icon
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CVSS Vulnerability Scoring System

Detailed values of each vector for above chart.
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