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CVE-2025-54573VulnerabilityPublished

CVE-2025-54573: cvat · Improper Authentication

Affects cvatSource CVE Database V5

0

Not known to be exploited · CVSS 4.3 Medium.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
4.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 21% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Jul 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

What to do

AI-suggested

European organizations should promptly upgrade CVAT installations to version 2.42.0 or later to ensure email verification is enforced. Until upgrades are feasible, disabling user self-registration is a critical interim measure, especially for enterprise deployments. Implementing additional rate limiting and CAPTCHA challenges on registration endpoints can reduce bot signup attempts. Monitoring account creation logs for unusual spikes or patterns indicative of automated signups will help detect abuse early. Integrating CVAT authentication with centralized identity providers (e.g., SAML, OAuth) can further reduce reliance on basic authentication and improve user verification. Regularly reviewing and cleaning up inactive or suspicious accounts will maintain system hygiene. Finally, organizations should ensure that their incident response and user management policies account for this vulnerability to quickly respond to any exploitation attempts.

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.

References

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