| Component | vLLM |
| Severity | low (CVSS 2.6) |
| CVSS vector | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:N/A:N |
| Published (NVD) | 2025-05-29 |
| Last modified | 2026-06-17 |
| Affected versions | vllm < 0.9.0 |
| Fixed in | 0.9.0 |
| Weakness | CWE-208CWE-203 |
| CISA KEV | not listed |
NVD description
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT (Time to First Token). These timing differences caused by matching chunks are significant enough to be recognized and exploited. This issue has been patched in version 0.9.0.
What to do
- Upgrade vLLM to
0.9.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2025-46570
- https://github.com/vllm-project/vllm/pull/17045
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4qjh-9fv9-r85r
- https://github.com/vllm-project/vllm/commit/77073c77bc2006eb80ea6d5128f076f5e6c6f54f
Read more
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