Server-Side Request Forgery (SSRF) Affecting vllm-openai-cuda-12.9 package, versions <0.19.0-r0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published13 Apr 2026
- disclosed6 Apr 2026
Introduced: 6 Apr 2026
CVE-2026-34753 (opens in a new tab)How to fix?
Upgrade Chainguard vllm-openai-cuda-12.9 to version 0.19.0-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm-openai-cuda-12.9 package and not the vllm-openai-cuda-12.9 package as distributed by Chainguard.
See How to fix? for Chainguard relevant fixed versions and status.
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.