Instituto Nacional de ciberseguridad. Sección Incibe
Instituto Nacional de Ciberseguridad. Sección INCIBE-CERT

CVE-2026-54232

Gravedad CVSS v3.1:
ALTA
Tipo:
CWE-427 Elemento no controlado en la ruta de búsqueda
Fecha de publicación:
22/06/2026
Última modificación:
24/06/2026

Descripción

*** Pendiente de traducción *** vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Productos y versiones vulnerables

CPE Desde Hasta
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* 0.22.1 (excluyendo)


Referencias a soluciones, herramientas e información