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EUVD-2026-19349 · Published Apr 6, 2026
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.
Technologies
Vllm Vllm
Weaknesses
CWE-918
CVSS scores
- v3.15.4
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L
MITRE ATT&CK
InferredWhere this vulnerability fits in an attack
Initial Access
References
Potentially impacted assets
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