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.

humansignal

### Summary On all Label Studio versions prior to 1.11.0, data imported via file upload feature is not properly sanitized prior to being rendered within a [`Choices`](https://labelstud.io/tags/choices) or [`Labels`](https://labelstud.io/tags/labels) tag, resulting in an XSS vulnerability. ### Details Need permission to use the "data import" function. This was reproduced on Label Studio 1.10.1. ### PoC 1. Create a project.  2. Upload a file containing the payload using the "Upload Files" function.   The following are the contents of the files used in the PoC ``` { "data": { "prompt": "labelstudio universe image", "images": [ { "value": "id123#0", "style": "margin: 5px", "html": "<img width='400' src='https://labelstud.io/_astro/images-tab.64279c16_ZaBSvC.avif' onload=alert(document.cookie)>" } ] } } ``` 3. Select the text-to-image generation labeling template of Ranking and scoring   4. Select a task  5. Check that the script is running  ### Impact Malicious scripts can be injected into the code, and when linked with vulnerabilities such as CSRF, it can cause even greater damage. In particular, It can become a source of further attacks, especially when linked to social engineering.