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 mode…
High CVSS 7.5
Summary
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.
In-depth triage
No in-depth report has been generated yet (DR-003 v2 AI pipeline is under construction).
Affected products
- :
Sources
- NVD DATABASE
Original Links
- https://github.com/huggingface/diffusers/commit/a37f6f8394ac2a7ee8360c3abea811efe54512b1 Patch
- https://github.com/huggingface/diffusers/issues/13446 Issue Tracking
- https://github.com/huggingface/diffusers/pull/13448 Issue Tracking
- https://github.com/huggingface/diffusers/releases/tag/v0.38.0 Release Notes
- https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p Vendor Advisory
- https://github.com/huggingface/diffusers/issues/13446 Issue Tracking
- https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p Vendor Advisory
Timeline
- nvd_ingest NVD