CVE-2026-34756
EUVD-2026-1935106.04.2026, 16:16
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.Enginsight
Affected Products (NVD)
| Vendor | Product | Version |
|---|---|---|
| vllm | vllm | 0.1.0 ≤ 𝑥 < 0.19.0 |
𝑥
= Vulnerable software versions
Common Weakness Enumeration
- CWE-770 - Allocation of Resources Without Limits or ThrottlingThe software allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.
- CWE-1284 - Improper Validation of Specified Quantity in InputThe product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.
References