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.
Weakness
The product checks the state of a resource before using that resource, but the resource’s state can change between the check and the use in a way that invalidates the results of the check.
Potential Mitigations
Related Attack Patterns
References
- https://github.com/huggingface/diffusers/commit/a37f6f8394ac2a7ee8360c3abea811efe54512b1
- https://github.com/huggingface/diffusers/issues/13446
- https://github.com/huggingface/diffusers/pull/13448
- https://github.com/huggingface/diffusers/releases/tag/v0.38.0
- https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p
- https://github.com/huggingface/diffusers/issues/13446
- https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p