Path TraversalWeakness · CWE-22

CVE-2026-4944

HIGH · 8.8 CVSS v3.0 Published 2026-05-28
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
95/100
Remediation priority · Urgent
Remotely reachable No privileges

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
vllm-project/vllm version 0.14.1 contains a vulnerability where the `trust_remote_code=True` parameter is hardcoded in two model implementation files (`vllm/model_executor/models/nemotron_vl.py` and `vllm/model_executor/models/kimi_k25.py`). This bypasses the user's explicit `--trust-remote-code=False` setting, enabling remote code execution via malicious HuggingFace model repositories. This issue is an incomplete fix for CVE-2025-66448 and CVE-2026-22807, as it affects separate code paths in model implementation files. Deployments loading NemotronVL or KimiK25 models are particularly impacted.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

In vllm-project/vllm version 0.14.1, the `trust_remote_code=True` parameter is hardcoded in two model implementation files (`nemotron_vl.py` and `kimi_k25.py`), bypassing user-specified `--trust-remote-code=False` settings. This allows remote code execution when loading models from malicious HuggingFace repositories, as the hardcoded parameter overrides user configuration.

MitigationRemove the hardcoded `trust_remote_code=True` from the affected files and ensure user-provided settings are respected, or upgrade to a patched version once available. Avoid loading untrusted models until the fix is applied.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check installed vllm version
    Run 'pip show vllm' or 'python -c "import vllm; print(vllm.__version__)"' to get the installed version
    Affected if Version is 0.14.1
  2. Locate model implementation files
    Find nemotron_vl.py and kimi_k25.py in the vllm installation directory, typically under vllm/model_executor/models/
    Affected if These files exist in the installed vllm package
  3. Inspect nemotron_vl.py for hardcoded parameter
    Search the file contents for 'trust_remote_code=True' as a hardcoded value in model loading code
    Affected if The file contains 'trust_remote_code=True' that would override user settings
  4. Inspect kimi_k25.py for hardcoded parameter
    Search the file contents for 'trust_remote_code=True' as a hardcoded value in model loading code
    Affected if The file contains 'trust_remote_code=True' that would override user settings

You are affected if using vllm 0.14.1 and either nemotron_vl.py or kimi_k25.py contains hardcoded trust_remote_code=True that bypasses your --trust-remote-code=False setting.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Remove the hardcoded `trust_remote_code=True` from the affected files and ensure user-provided settings are respected, or upgrade to a patched version once available. Avoid loading untrusted models until the fix is applied.

Have this fixed Scoped from the published advisory
  • Consultation3.0 h
  • Implementation3.0 h
  • Testing4.0 h
  • Review / QA2.0 h
12.0 hours of engineering $2,100
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-4944 in production — separate from our analysis above.

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What this is

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What belongs here
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  • Version or environment caveats, and links to real fixes
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