CVE-2025-54573
Title: Cvat Computer Vision Annotation Tool Auth Bypass
Proof Of Concept
No public PoC currently indexed for CVE-2025-54573.
Vulnerability Summary
CVE-2025-54573: 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:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
Associated Attack Patterns (CAPEC)
Total: PatternsNo specific attack patterns mapped.
CVE-2025-54573 Exploits & PoCs (Proof Of Concept)
No public PoCs found in our database for this CVE.
Vulnerability data or affected products updated.
Vulnerability data updated via NVD.
Vulnerability first announced in NVD.
Attack Vector Matrix
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Affected Stack
No specific products linked.