CVE-2026-44513: Diffusers Diffusers Has A `trust_remote_code` Bypass Vulnerability

HIGH
Advisory Identifier: GHSA-98h9-4798-4q5v
CVSS 8.8
CWE-94
Published
Advisory Summary

CVE-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

CVE Identifier CVE-2026-44513
GHSA Identifier GHSA-98h9-4798-4q5v
Severity HIGH
CVSS v3.1 Base Score 8.8
CWE Classification CWE-94: Improper Control of Generation of Code ('Code Injection')
Affected Product Diffusers
Package Ecosystem PyPI
Published Date
Last Updated

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).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction Required (UI:R)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability High (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.

diffusers fixed: 0.38.0
pip install diffusers>=0.38.0
Verify Direct and Transitive Dependencies

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

### Impact A `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: 1. **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. 2. **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. 3. **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. Silent remote code execution on the victim's machine. Anyone calling `DiffusionPipeline.from_pretrained` with custom pipelines is impacted. ### Patches Yes. 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: ```bash pip install --upgrade "diffusers>=0.38.0" ``` The 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. ### Workarounds If upgrading immediately is not possible: - Only call `from_pretrained` with `pretrained_model_name_or_path`, `custom_pipeline`, and local snapshot directories from fully trusted sources that have been audited. - Do not pass `custom_pipeline=` pointing at a Hub repository different from the primary `pretrained_model_name_or_path` before reading its `pipeline.py`. - 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. These are mitigations, not fixes — the only complete remediation is upgrading to 0.38.0. ### Resources - **Fix:** https://github.com/huggingface/diffusers/pull/13448 - **Original issue:** https://github.com/huggingface/diffusers/issues/13446 - **Release notes:** https://github.com/huggingface/diffusers/releases/tag/v0.38.0 - **CWE-94:** https://cwe.mitre.org/data/definitions/94.html

CVE-2026-44513 Affected Diffusers Versions

1 component(s)
Fixed Versions:
0.38.0
Product / Package Ecosystem Affected Versions Fixed Version
diffusers
PyPI
< 0.38.0
0.38.0

References

Frequently Asked Questions

What is CVE-2026-44513?
CVE-2026-44513 is a security vulnerability in Diffusers involving Diffusers has a `trust_remote_code` bypass via `custom_pipeline` and local custom components under CWE-94: Improper Control of Generation of Code ('Code Injection').
Which Diffusers versions are affected?
Affected versions include releases prior to 0.38.0 across affected packages: diffusers.
What version fixes CVE-2026-44513?
Upgrading to 0.38.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is diffusers affected?
Yes, diffusers is affected in releases prior to 0.38.0. Upgrade your dependency to 0.38.0 or later.
What is the CVSS score of CVE-2026-44513?
CVE-2026-44513 has a CVSS v3.1 base score of 8.8 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.
What CWE is associated with CVE-2026-44513?
CVE-2026-44513 is classified under CWE-94: Improper Control of Generation of Code ('Code Injection') (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.).
How can I check PyPI dependencies for CVE-2026-44513?
Run the dependency tree command: 'pip show diffusers'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
{
  "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"
  }
}