CVE-2026-45804

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers' DiffusionPipeline.frompretrained flow can bypass the trustremotecode guard because download validates modelindex.json and custom pipeline code before later loading from a cached folder that can change, allowin...

CVE-2026-45804 Diffusers: TOCTOU Trust Remote Code Bypass

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers' DiffusionPipeline.frompretrained flow can bypass the trustremotecode guard because download validates modelindex.json and custom pipeline code before later loading from a cached folder that can change, allowin...

PYSEC-2026-41

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

CVE-2026-44513

Diffusers 0.38.0 fixes a trust_remote_code bypass in DiffusionPipeline.from_pretrained that allowed arbitrary remote code execution when using custom_pipeline or local snapshots. Root cause: the security gate was checked inside DiffusionPipeline.download(), but some code paths bypassed download()...

CVE-2026-44513 Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trustremotecode bypass in DiffusionPipeline.frompretrained allows arbitrary remote code execution despite the user passing trustremotecode=False or omitting it, which is the default. The vulnerability has three variant...

Diffusion code injection vulnerabilities

Diffusers is an open-source diffusion model library developed by Hugging Face for generating images, audio, and 3D molecular structures. Versions of Diffusers prior to 0.38.0 contained a code injection vulnerability, which was caused by improper handling of the custompipeline parameter, potential...