How severe is CVE-2025-54573?

CVE-2025-54573 has a CVSS 3.x base score of 4.3, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability low.

Is CVE-2025-54573 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (18th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-54573?

CVE-2025-54573 affects Cvat Computer Vision Annotation Tool. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-54573?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

Does CVE-2025-54573 have an EU (EUVD) identifier?

Yes. CVE-2025-54573 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-23169.

When was CVE-2025-54573 published?

CVE-2025-54573 was published on 2025-07-30 and last updated on 2026-06-17.

CVE-2025-54573

CVE-2025-54573 is a medium-severity vulnerability in Cvat Computer Vision Annotation Tool with a CVSS 3.x base score of 4.3. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-287.

Key facts

Severity: Medium (CVSS 3.x base score 4.3)
EPSS exploit prediction: 0% (18th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-23169
Weakness: CWE-287
Affected product: Cvat Computer Vision Annotation Tool
Published: 2025-07-30
Last modified: 2026-06-17

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.

Frequently asked questions

What is 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.
How severe is CVE-2025-54573?: CVE-2025-54573 has a CVSS 3.x base score of 4.3, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability low.
Is CVE-2025-54573 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (18th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-54573?: CVE-2025-54573 affects Cvat Computer Vision Annotation Tool. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-54573?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
Does CVE-2025-54573 have an EU (EUVD) identifier?: Yes. CVE-2025-54573 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-23169.
When was CVE-2025-54573 published?: CVE-2025-54573 was published on 2025-07-30 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:cvat:computer_vision_annotation_tool:*:*:*:*:*:*:*:*

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