CVE-2026-4944
HighSummary
W wersji 0.14.1 projektu vllm występuje podatność związana z hardcodowanym parametrem `trust_remote_code=True` w dwóch plikach implementacji modeli. To omija ustawienie użytkownika `--trust-remote-code=False`, co umożliwia zdalne wykonywanie kodu z złośliwych repozytoriów modeli HuggingFace.
Risk Assessment
Organizacje korzystające z modeli NemotronVL lub KimiK25 są szczególnie narażone na ataki, które mogą prowadzić do nieautoryzowanego wykonania kodu. To stwarza poważne zagrożenie dla bezpieczeństwa danych i systemów.
Recommendation
Zaleca się aktualizację do najnowszej wersji vllm, aby usunąć tę podatność oraz dokładne sprawdzenie i ograniczenie zaufania do zdalnych repozytoriów modeli.
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Original NVD description (English source)
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.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS

