CVE-2026-34756

Summary

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionRequest Pydantic models, an unauthenticated attacker can send a single HTTP request with an astronomically large n value. This completely blocks the Python asyncio event loop and causes immediate Out-Of-Memory crashes by allocating millions of request object copies in the heap before the request even reaches the scheduling queue. This vulnerability is fixed in 0.19.0.

Impact & exploitability

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Affected products we track (1)

Recommendation

Apply the vendor fix in your normal patch cycle. Open any affected product above for its exact safe version.

Official patch: https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380 ↗

Additional information

• NVD record
• https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380Patch
• https://github.com/vllm-project/vllm/pull/37952Patch
• https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528Patch