| Component | vLLM |
| Severity | medium (CVSS 5.4) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L |
| Published (NVD) | 2026-04-06 |
| Last modified | 2026-06-17 |
| Affected versions | vllm >= 0.16.0, < 0.19.0 |
| Fixed in | 0.19.0 |
| Weakness | CWE-918 |
| CISA KEV | not listed |
NVD description
vLLM is an inference and serving engine for large language models (LLMs). From 0.16.0 to before 0.19.0, a server-side request forgery (SSRF) vulnerability in download_bytes_from_url allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from the server, without any URL validation or domain restrictions. This can be used to target internal services (e.g. cloud metadata endpoints or internal HTTP APIs) reachable from the vLLM host. This vulnerability is fixed in 0.19.0.
What to do
- Upgrade vLLM to
0.19.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
Read more
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