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 la…
Medium CVSS 6.5
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-Mem…
In-depth triage
No in-depth report has been generated yet (DR-003 v2 AI pipeline is under construction).
Affected products
- :
Sources
- NVD DATABASE
Original Links
- https://github.com/vllm-project/vllm/commit/b111f8a61f100fdca08706f41f29ef3548de7380 Patch
- https://github.com/vllm-project/vllm/pull/37952 Issue Tracking
- https://github.com/vllm-project/vllm/security/advisories/GHSA-3mwp-wvh9-7528 Patch
- https://access.redhat.com/errata/RHSA-2026:36005
- https://access.redhat.com/errata/RHSA-2026:36006
- https://access.redhat.com/errata/RHSA-2026:57380
- https://access.redhat.com/errata/RHSA-2026:57390
- https://access.redhat.com/security/cve/CVE-2026-34756
- https://bugzilla.redhat.com/show_bug.cgi?id=2455425
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-34756.json
Timeline
- nvd_ingest NVD