CVE-2025-5173 HumanSignal label-studio-ml-backend PT File neural_nets.py load deserialization
Local attackers can exploit unsafe deserialization in the PT file handler to execute arbitrary code within the label-studio-ml-backend library.
- Exploited in the wild
- Not known
- Login needed
- Any signed-in user
- Attackable
- Local or same network only
- Victim action needed
- Not needed
- Fix
- None listed
What is CVE-2025-5173?
CVE-2025-5173 is a medium-severity unsafe deserialization vulnerability in HumanSignal label-studio-ml-backend, published on 26 May 2025. It can only be exploited from the same machine or local network, with no action from the victim.
Official 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.
Which versions are affected by CVE-2025-5173?
3 open source packages ship an affected version, including label-studio-ml. It affects 1 product.
| Package | Affected | Fixed in |
|---|---|---|
label-studio-ml PyPI | All versions to 1.0.9 | None |
label-studio-ml PyPI | All versions to 1.0.9 | None |
label-studio-ml PyPI | All versions to 1.0.9 | None |
Products include Humansignal Label Studio Ml Backend.
How do I fix CVE-2025-5173?
No fix has been published for CVE-2025-5173 yet. Limit exposure of the affected software until one is available.
Upgrade, and only deserialise data from trusted sources or with an allow-list of types. More about Unsafe deserialization.
Is CVE-2025-5173 being exploited?
There is no known exploitation of CVE-2025-5173 in the wild and no public exploit code.
Sources
Also known as GHSA-55g9-6c2x-gf8q, PYSEC-2026-1505.