CVE-2026-22807Vllm · Vllm
Vulnerability data via NVD (ingested)
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face `auto_map` dynamic modules during model resolution without gating on `trust_remote_code`, allowing attacker-controlled Python code in a model repo/path to execute at server startup. An attacker who can influence the model repo/path (local directory or remote Hugging Face repo) can achieve arbitrary code execution on the vLLM host during model load. This happens before any request handling and does not require API access. Version 0.14.0 fixes the issue.
External references
Search for exposed instances
Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
vuln:CVE-2026-22807product:"Vllm Vllm"http.html:"Vllm"More intel sources (5)
vuln:CVE-2026-22807vulnerabilities.cve_id: CVE-2026-22807CVE-2026-22807CVE-2026-22807"CVE-2026-22807" exploit -site:nvd.nist.gov