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Tracking
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| Source | ID | Title |
|---|---|---|
Github GHSA |
GHSA-3mwp-wvh9-7528 | vLLM: Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server |
Mon, 20 Apr 2026 18:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Vllm
Vllm vllm |
|
| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Vllm
Vllm vllm |
Tue, 07 Apr 2026 15:15:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
|
Tue, 07 Apr 2026 00:00:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Vllm-project
Vllm-project vllm |
|
| Weaknesses | CWE-1284 | |
| Vendors & Products |
Vllm-project
Vllm-project vllm |
|
| References |
| |
| Metrics |
threat_severity
|
threat_severity
|
Mon, 06 Apr 2026 16:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| Description | 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. | |
| Title | vLLM Affected by Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server | |
| Weaknesses | CWE-770 | |
| References |
| |
| Metrics |
cvssV3_1
|
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-04-07T14:17:12.597Z
Reserved: 2026-03-30T19:17:10.225Z
Link: CVE-2026-34756
Updated: 2026-04-07T14:16:38.139Z
Status : Analyzed
Published: 2026-04-06T16:16:36.610
Modified: 2026-04-20T18:30:39.493
Link: CVE-2026-34756
OpenCVE Enrichment
Updated: 2026-04-07T06:54:58Z
Github GHSA