{"@context":"https://openvex.dev/ns/v0.2.0","@id":"https://database.harborguard.co/cve/CVE-2026-54232/vex.json","author":"HarborGuard Database","role":"Document Creator","timestamp":"2026-06-22T22:16:43.101Z","version":1,"tooling":"HarborGuard Database (https://database.harborguard.co)","statements":[{"vulnerability":{"name":"CVE-2026-54232","@id":"https://www.cve.org/CVERecord?id=CVE-2026-54232","description":"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 arbitrar"},"products":[{"@id":"cpe:2.3:a:vllm-project:vllm:\\<_0.22.1:*:*:*:*:*:*:*","identifiers":{"cpe23":"cpe:2.3:a:vllm-project:vllm:\\<_0.22.1:*:*:*:*:*:*:*"}}],"status":"affected","action_statement":"No fixed version is published yet; monitor the upstream advisory.","timestamp":"2026-06-22T22:16:43.101Z"}]}