high7.5
CVE-2026-45804
Diffusers is the a library for pretrained diffusion models.
Impact
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 packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | diffusers | < 0.38.0 | 0.38.0 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Huggingface | Diffusers | before 0.38.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-7wx4-6vff-v64p
- https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p
- https://nvd.nist.gov/vuln/detail/CVE-2026-45804
- 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
- https://github.com/pypa/advisory-database/tree/main/vulns/diffusers/PYSEC-2026-2446.yaml