- CVSS
- HIGH · 8.8 v3.0 CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Published
- 2026-05-28
- Weakness
- CWE-22
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-4944
Description
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.
References
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-4944 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.