Improper Authentication in Computer Vision Annotation Tool (CVAT) - CVE-2025-54573
Published: May 21, 2026
Vulnerability identifier: #VU132050
CSH Severity: Low
CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/U:Clear
CVE-ID: CVE-2025-54573
CWE-ID: CWE-287
Exploitation vector: Remote access
Exploit availability:
No public exploit available
Vendor: Intel
Affected software:
Computer Vision Annotation Tool (CVAT)
Computer Vision Annotation Tool (CVAT)
Detailed vulnerability description
The vulnerability allows a remote user to cause a denial of service.
The vulnerability exists due to improper authentication in basic http authentication handling when processing authentication requests. A remote user can create an account with a fake email address and use the product as a verified user to cause a denial of service.
The issue stems from email verification not being enforced for accounts using basic http authentication.
How to mitigate CVE-2025-54573
Install security update from vendor's website.