CVE-2026-4944
HIGH
8,8
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high
Description
AI Translation Available
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.
22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
StableCommon Consequences
Security Scopes Affected:
Integrity
Confidentiality
Availability
Potential Impacts:
Execute Unauthorized Code Or Commands
Modify Files Or Directories
Read Files Or Directories
Dos: Crash, Exit, Or Restart
Applicable Platforms
Technologies:
AI/ML
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