Vulnerability 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.
CVSS Score
MEDIUM
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Cvat | Computer Vision Annotation Tool | >= 1.1.0, < 2.42.0 |
Related Weaknesses (CWE)
References
- https://github.com/cvat-ai/cvat/commit/bc20eff16b8406fbb755f6540e6f269da0c9c5b2Patch
- https://github.com/cvat-ai/cvat/security/advisories/GHSA-fxgh-m76j-242qVendor Advisory
FAQ
What is CVE-2025-54573?
CVE-2025-54573 is a vulnerability with a CVSS score of 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...
How severe is CVE-2025-54573?
CVE-2025-54573 has been rated MEDIUM with a CVSS base score of 4.3/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2025-54573?
Check the references section above for vendor advisories and patch information. Affected products include: Cvat Computer Vision Annotation Tool.