CVE-2026-45804

What it is

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.

At a glance

Exploitability

Can be exploited over the network without logging in, but needs a user to act. High risk of data exposure, data tampering, service disruption.

Exploit odds

0.4% chance of exploitation in the next 30 days (EPSS).

Fix

A patch, advisory or fixed version is referenced. Upgrade or apply it.

Timeline

1. 2026-07-15 17:16 UTC PublishedDisclosed publicly on CVE.org and NVD
2. 2026-10-24 21:10 UTC Last updatedMost recent change to the record

Details

Published

2026-07-15 17:16 UTC

Last modified

2026-10-24 21:10 UTC

Exploit probability

0.4% · EPSS, next 30 days

Weakness

CWE-367

Record status

Analyzed

Affected

• Huggingface Diffusers < 0.38.0

Attack profile CVSS 3.1 · 7.5

Attack vector

Network

Complexity

High

Privileges needed

None

User interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High