CVE-2026-44513: Diffusers Diffusers Has A `trust_remote_code` Bypass Vulnerability
HIGHCVE-2026-44513 is a HIGH (CVSS 8.8) diffusers has a `trust_remote_code` bypass vulnerability (CWE-94: Improper Control of Generation of Code ('Code Injection')) affecting Diffusers libraries in the PyPI ecosystem. The issue involves diffusers has a `trust_remote_code` bypass via `custom_pipeline` and local custom components. Remediation is available by upgrading affected packages to version 0.38.0.
CVE-2026-44513 at a Glance
Security Impact
CVSS: 8.8
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
How to Fix CVE-2026-44513
To remediate this vulnerability, upgrade all affected Diffusers dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install diffusers>=0.38.0
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show diffusers
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-44513, inspect your installed packages using pip:
pip show diffusers
Analyze the terminal output to locate any version of Diffusers in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.38.0), your application is affected.
Note: The pip show diffusers command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-94: Improper Control of Generation of Code ('Code Injection'), where the product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. In Diffusers, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-44513 Affected Diffusers Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
diffusers
|
PyPI |
< 0.38.0
|
0.38.0
|
References
Frequently Asked Questions
What is CVE-2026-44513?
Which Diffusers versions are affected?
What version fixes CVE-2026-44513?
Is diffusers affected?
What is the CVSS score of CVE-2026-44513?
What CWE is associated with CVE-2026-44513?
How can I check PyPI dependencies for CVE-2026-44513?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-98h9-4798-4q5v",
"modified" : "2026-06-05T17:53:10Z",
"published" : "2026-05-07T05:31:17Z",
"aliases" : [ "CVE-2026-44513" ],
"summary" : "Diffusers has a `trust_remote_code` bypass via `custom_pipeline` and local custom components",
"details" : "### Impact\n\nA `trust_remote_code` bypass in `DiffusionPipeline.from_pretrained` allows arbitrary remote code execution despite the user passing `trust_remote_code=False` (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause — the `trust_remote_code` gate was implemented inside `DiffusionPipeline.download()` rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited `download()` also bypassed the security check:\n\n1. **Cross-repo `custom_pipeline`.** `DiffusionPipeline.from_pretrained('repoA', custom_pipeline='attacker/repoB', trust_remote_code=False)` — the gate evaluated against `repoA`'s file list rather than `repoB`'s, so `repoB`'s `pipeline.py` was loaded and executed.\n2. **Local snapshot + Hub `custom_pipeline`.** `DiffusionPipeline.from_pretrained('/local/snapshot', custom_pipeline='attacker/repoB', trust_remote_code=False)` — the local-path branch never invoked `download()`, so the gate was never reached and remote code from `repoB` executed.\n3. **Local snapshot with custom components.** `DiffusionPipeline.from_pretrained('/local/snapshot', trust_remote_code=False)` where the snapshot contains custom component files (e.g. `unet/my_unet_model.py`) referenced from `model_index.json` — same root cause; the local path skipped `download()` and custom component code executed.\n\nSilent remote code execution on the victim's machine. Anyone calling `DiffusionPipeline.from_pretrained` with custom pipelines is impacted.\n\n### Patches\n\nYes. Fixed in **diffusers 0.38.0** via [PR #13448](https://github.com/huggingface/diffusers/pull/13448). All users on versions `< 0.38.0` should upgrade:\n\n```bash\npip install --upgrade \"diffusers>=0.38.0\"\n```\n\nThe fix moves the `trust_remote_code` gate out of `DiffusionPipeline.download()` and into `get_cached_module_file` in `src/diffusers/utils/dynamic_modules_utils.py`, which is the actual chokepoint for every dynamic module load (local, Hub, or community mirror). All three variants now raise `ValueError` instead of executing untrusted code.\n\n### Workarounds\n\nIf upgrading immediately is not possible:\n\n- Only call `from_pretrained` with `pretrained_model_name_or_path`, `custom_pipeline`, and local snapshot directories from fully trusted sources that have been audited.\n- Do not pass `custom_pipeline=` pointing at a Hub repository different from the primary `pretrained_model_name_or_path` before reading its `pipeline.py`.\n- Before calling `from_pretrained` on a local snapshot, inspect the snapshot for unexpected `*.py` files, especially under component subdirectories (`unet/`, `scheduler/`, etc.) and at the snapshot root.\n\nThese are mitigations, not fixes — the only complete remediation is upgrading to 0.38.0.\n\n### Resources\n\n- **Fix:** https://github.com/huggingface/diffusers/pull/13448\n- **Original issue:** https://github.com/huggingface/diffusers/issues/13446\n- **Release notes:** https://github.com/huggingface/diffusers/releases/tag/v0.38.0\n- **CWE-94:** https://cwe.mitre.org/data/definitions/94.html",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "diffusers"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "0.38.0"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/huggingface/diffusers/security/advisories/GHSA-98h9-4798-4q5v"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-44513"
}, {
"type" : "WEB",
"url" : "https://github.com/huggingface/diffusers/issues/13446"
}, {
"type" : "WEB",
"url" : "https://github.com/huggingface/diffusers/pull/13448"
}, {
"type" : "WEB",
"url" : "https://github.com/huggingface/diffusers/commit/a37f6f8394ac2a7ee8360c3abea811efe54512b1"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/huggingface/diffusers"
}, {
"type" : "WEB",
"url" : "https://github.com/huggingface/diffusers/releases/tag/v0.38.0"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/diffusers/PYSEC-2026-40.yaml"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-94" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-05-07T05:31:17Z",
"nvd_published_at" : "2026-05-14T17:16:22Z"
}
}