Description (CNA)
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers' DiffusionPipeline.from_pretrained flow can bypass the trust_remote_code guard because download() validates model_index.json and custom pipeline code before later loading from a cached folder that can change, allowing a Hub repository with custom .py pipeline code to execute through the custom pipeline flow without passing custom_pipeline or trust_remote_code=True. This issue is fixed in version 0.38.0.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| huggingface / diffusers | affected < 0.38.0 |
CWE
CWE-367
References
- https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p
- https://github.com/huggingface/diffusers/issues/13446
- https://github.com/huggingface/diffusers/pull/13448
- https://github.com/huggingface/diffusers/commit/a37f6f8394ac2a7ee8360c3abea811efe54512b1
- https://github.com/huggingface/diffusers/releases/tag/v0.38.0
ADP enrichment
No English description supplied.