| Component | vLLM |
| Severity | medium (CVSS 5.3) |
| CVSS vector | CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N |
| Published (NVD) | 2026-08-13 |
| Last modified | 2026-09-28 |
| Affected versions | vllm < 0.27.0 |
| Fixed in | 0.27.0 |
| Weakness | CWE-190 |
| CISA KEV | not listed |
NVD description
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x * 2 * d in activation_kernels.cu can cause act_and_mul_kernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or complete copy of another user's inference result. This issue is fixed in version 0.27.0.
What to do
- Upgrade vLLM to
0.27.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2026-73558
- https://github.com/vllm-project/vllm/security/advisories/GHSA-7m6h-x95x-82q5
- https://github.com/vllm-project/vllm/commit/451227cb3ff07989698fed982c2d3e4300257924
- https://github.com/vllm-project/vllm/issues/42860
- https://github.com/vllm-project/vllm/pull/49660
- https://github.com/vllm-project/vllm/releases/tag/v0.27.0
Read more
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