How severe is CVE-2025-5173?

CVE-2025-5173 has a CVSS 3.x base score of 5.3, rated medium severity. It is exploitable over local access with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is low, integrity low, and availability low.

Is CVE-2025-5173 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (9th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-5173?

CVE-2025-5173 affects Humansignal Label Studio Ml Backend. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-5173?

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

Does CVE-2025-5173 have an EU (EUVD) identifier?

Yes. CVE-2025-5173 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-16264.

When was CVE-2025-5173 published?

CVE-2025-5173 was published on 2025-05-26 and last updated on 2026-06-17.

CVE-2025-5173

CVE-2025-5173 is a medium-severity vulnerability in Humansignal Label Studio Ml Backend with a CVSS 3.x base score of 5.3. 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-502.

Key facts

Severity: Medium (CVSS 3.x base score 5.3)
CVSS v2: 4.3
CVSS v4: 4.8
EPSS exploit prediction: 0% (9th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-16264
Weakness: CWE-502
Affected product: Humansignal Label Studio Ml Backend
Published: 2025-05-26
Last modified: 2026-06-17

Description

A vulnerability has been found in HumanSignal label-studio-ml-backend up to 9fb7f4aa186612806af2becfb621f6ed8d9fdbaf and classified as problematic. Affected by this vulnerability is the function load of the file label-studio-ml-backend/label_studio_ml/examples/yolo/utils/neural_nets.py of the component PT File Handler. The manipulation of the argument path leads to deserialization. An attack has to be approached locally. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available.

Frequently asked questions

What is CVE-2025-5173?: A vulnerability has been found in HumanSignal label-studio-ml-backend up to 9fb7f4aa186612806af2becfb621f6ed8d9fdbaf and classified as problematic. Affected by this vulnerability is the function load of the file label-studio-ml-backend/label_studio_ml/examples/yolo/utils/neural_nets.py of the component PT File Handler. The manipulation of the argument path leads to deserialization. An attack has to be approached locally. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available.
How severe is CVE-2025-5173?: CVE-2025-5173 has a CVSS 3.x base score of 5.3, rated medium severity. It is exploitable over local access with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is low, integrity low, and availability low.
Is CVE-2025-5173 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (9th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-5173?: CVE-2025-5173 affects Humansignal Label Studio Ml Backend. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-5173?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
Does CVE-2025-5173 have an EU (EUVD) identifier?: Yes. CVE-2025-5173 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-16264.
When was CVE-2025-5173 published?: CVE-2025-5173 was published on 2025-05-26 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:humansignal:label_studio_ml_backend:*:*:*:*:*:*:*:*

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