{"@context":"https://openvex.dev/ns/v0.2.0","@id":"https://database.harborguard.co/cve/CVE-2026-41523/vex.json","author":"HarborGuard Database","role":"Document Creator","timestamp":"2026-06-22T22:18:14.494Z","version":1,"tooling":"HarborGuard Database (https://database.harborguard.co)","statements":[{"vulnerability":{"name":"CVE-2026-41523","@id":"https://www.cve.org/CVERecord?id=CVE-2026-41523","description":"vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0."},"products":[{"@id":"cpe:2.3:a:vllm-project:vllm:\\<_0.22.0:*:*:*:*:*:*:*","identifiers":{"cpe23":"cpe:2.3:a:vllm-project:vllm:\\<_0.22.0:*:*:*:*:*:*:*"}}],"status":"affected","action_statement":"No fixed version is published yet; monitor the upstream advisory.","timestamp":"2026-06-22T22:18:14.494Z"}]}