CVE-2026-34756 (GCVE-0-2026-34756)
Vulnerability from cvelistv5 – Published: 2026-04-06 15:40 – Updated: 2026-08-25 12:05
VLAI
EPSS
VEX
Title
vLLM Affected by Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server
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.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-07 14:16 UTC
CWE
Assigner
References
14 references
Impacted products
16 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| vllm-project | vllm |
Affected:
>= 0.1.0, < 0.19.0
|
guessed | |
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1782951012 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
||
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1782951244 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
||
| Red Hat | Red Hat AI Inference Server 3.4 |
Unaffected:
1787151769 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.4::el9 |
||
| Red Hat | Red Hat AI Inference Server 3.4 |
Unaffected:
1787151840 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.4::el9 |
||
| Red Hat | Red Hat AI Inference Server 3.4 |
Unaffected:
1787151771 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.4::el9 |
||
| Red Hat | Red Hat AI Inference Server 3.4 |
Unaffected:
1787151774 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787310717 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787253912 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787253989 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787254059 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787243961 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787253774 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
Unaffected:
1787244006 , < *
(rpm)
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
||
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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"cve": "CVE-2026-34756",
"id": "CVE-2026-34756",
"initial_release_date": "2026-04-06T15:40:03.448000+00:00",
"product_status:fixed": "18",
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "vllm: vLLM: Denial of Service via excessively large \u0027n\u0027 parameter in OpenAI-compatible API",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-34756.json",
"version": "3"
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}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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