Detections
Analytics

CVE-2026-45804

high

Description

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.

References

https://thehackernews.com/2026/08/hugging-face-diffusers-flaws-could-let.html

https://www.infosecurity-magazine.com/news/hugging-face-diffusers-trust/

https://github.com/huggingface/diffusers/security/advisories/GHSA-7wx4-6vff-v64p

https://github.com/huggingface/diffusers/releases/tag/v0.38.0

https://github.com/huggingface/diffusers/pull/13448

https://github.com/huggingface/diffusers/issues/13446

https://github.com/huggingface/diffusers/commit/a37f6f8394ac2a7ee8360c3abea811efe54512b1

https://euvd.enisa.europa.eu/vulnerability/EUVD-2026-44711

Details

Source: Mitre, NVD

Published: 2026-07-15

Updated: 2026-08-12

Named Vulnerability: GHSA-7wx4-6vff-v64pNamed Vulnerability: FaceHugger

Risk Information

CVSS v2

Base Score: 7.6

Vector: CVSS2#AV:N/AC:H/Au:N/C:C/I:C/A:C

Severity: High

CVSS v3

Base Score: 7.5

Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

Severity: High

EPSS

EPSS: 0.0037