Executive Summary

The vulnerability exists in vllm-project/vllm version 0.14.1 where the parameter `trust_remote_code=True` is hardcoded in two model implementation files: `vllm/model_executor/models/nemotron_vl.py` and `vllm/model_executor/models/kimi_k25.py`.

This hardcoding bypasses the user's explicit setting of `--trust-remote-code=False`, which normally would prevent execution of remote code.

As a result, it enables remote code execution through malicious HuggingFace model repositories when loading these specific models.

This issue is an incomplete fix for previous vulnerabilities CVE-2025-66448 and CVE-2026-22807, affecting separate code paths in the model implementation files.

Deployments that load NemotronVL or KimiK25 models are particularly impacted by this vulnerability.

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Impact Analysis

This vulnerability can lead to remote code execution on systems running vllm-project/vllm version 0.14.1 when loading NemotronVL or KimiK25 models.

An attacker could exploit malicious HuggingFace model repositories to execute arbitrary code remotely, potentially compromising the affected system.

The impact includes full confidentiality, integrity, and availability loss as indicated by the CVSS score (8.8), meaning attackers could steal data, modify or delete information, or disrupt system operations.

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Mitigation Strategies

To mitigate this vulnerability, avoid deploying or loading NemotronVL or KimiK25 models in your vllm-project vllm version 0.14.1 environment, as these models contain the hardcoded `trust_remote_code=True` parameter that enables remote code execution.

Additionally, do not rely on the `--trust-remote-code=False` setting alone, since it is bypassed in these model implementation files. Consider updating to a version of vllm that addresses this issue once available.

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Compliance Impact

This vulnerability allows remote code execution by bypassing user settings, which can lead to unauthorized access and control over affected systems.

Such unauthorized access and potential data breaches could impact compliance with standards and regulations like GDPR and HIPAA, which require strict controls over data security and privacy.

However, specific effects on compliance are not detailed in the provided information.

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