CVE-2026-48746
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Description
A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette's trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.
Statement
CVE-2026-48746 is an authentication bypass in the vLLM OpenAI-compatible API server. A remote attacker who can reach the vLLM endpoint directly can craft a Host header so the authentication middleware checks a different URL path than the one actually dispatched, bypassing VLLM_API_KEY / --api-key protection. Successful exploitation allows unauthorized inference API access, which can result in confidentiality loss (model/prompt abuse) and availability impact (resource exhaustion). The flaw does not provide integrity compromise or arbitrary code execution. Exploitation requires vLLM API-key authentication to be enabled and the service to be exposed without an RFC-conforming reverse proxy that normalizes the Host header. Because Red Hat AI inference offerings are commonly deployed behind OpenShift Routes or similar proxies, and because the vulnerability is conditional on deployment and configuration, the overall flaw impact is rated Important rather than Critical.
Mitigation
Restrict network access to the vLLM API endpoint to only trusted clients and internal networks. Implement firewall rules or network policies to limit inbound connections to the vLLM service, thereby reducing the attack surface. This operational control helps prevent unauthorized external access to the vulnerable API.
Additional information
- This content is not included.Bugzilla 2491581: vllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access
- Content from cwe.mitre.org is not included.CWE-501: Trust Boundary Violation
External References
Content from www.cve.org is not included.https://www.cve.org/CVERecord?id=CVE-2026-48746
Content from nvd.nist.gov is not included.https://nvd.nist.gov/vuln/detail/CVE-2026-48746
Content from github.com is not included.https://github.com/vllm-project/vllm/pull/43426
Content from x41-dsec.de is not included.https://x41-dsec.de/lab/advisories/x41-2026-002-starlette
Affected Packages and Issued Red Hat Security Errata
Unless explicitly stated as not affected, all previous versions of packages in any minor update stream of a product listed here should be assumed vulnerable, although may not have been subject to full analysis.
| Products / Services | Components | State | Errata |
|---|---|---|---|
| Exploit Intelligence | exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-service-api-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-ocp-rag-rhel9 | Not affected | |
| Red Hat AI Inference Server | rhaii/vllm-cpu-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaii/vllm-spyre-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaiis/vllm-spyre-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaii/vllm-gaudi-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaii/vllm-neuron-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaii/vllm-tpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-cpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-neuron-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-cuda-rhel9 | Fixed | RHSA-2026:36005 |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-rocm-rhel9 | Fixed | RHSA-2026:36006 |
| Red Hat AI Inference Server 3.3 | rhaiis/vllm-rocm-rhel9 | Fixed | RHSA-2026:30088 |
| Red Hat AI Inference Server 3.3 | rhaiis/vllm-cuda-rhel9 | Fixed | RHSA-2026:30089 |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-25/lightspeed-chatbot-rhel8 | Will not fix | |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-26/lightspeed-chatbot-rhel9 | Will not fix | |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-27/lightspeed-chatbot-rhel9 | Will not fix | |
| Red Hat Ansible Automation Platform 2.6 | ansible-automation-platform-26/mcp-tools-rhel9 | Fixed | RHSA-2026:42132 |
| Red Hat Ansible Automation Platform 2.7 | ansible-automation-platform-27/mcp-tools-rhel9 | Fixed | RHSA-2026:42142 |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-aws-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-azure-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-azure-rocm-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-gaudi-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-gcp-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-rocm-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/disk-image-cuda-rhel9 | Affected | |
| Red Hat Hardened Images | jaeger | Not affected | |
| Red Hat Migration Toolkit for Applications 8.2 | mta/mta-solution-server-rhel9 | Fixed | RHSA-2026:43038 |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-built-in-detector-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-caikit-nlp-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-feature-server-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-agent-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-autogluon-server-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-controller-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-router-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-storage-initializer-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-llm-d-kv-cache-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-trustyai-nemo-guardrails-server-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-gaudi-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-automl-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-llama-stack-core-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlflow-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlserver-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-th06-cpu-torch210-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-th06-cuda130-torch210-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-th06-rocm64-torch291-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-training-cuda128-torch29-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI 2.25 | rhoai/odh-caikit-tgis-serving-rhel9 | Fixed | RHSA-2026:42644 |
| Red Hat Satellite 6 | satellite/foreman-mcp-server-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-advisor-engine-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-host-inventory-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-vmaas-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-vulnerability-engine-rhel9 | Not affected |
Common Vulnerability Scoring System (CVSS) Score Details
Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authorities (CNA) source for its products and services (see Red Hat classifications ).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| CVSS v3 Base Score | 9.1 | N/A | 9.1 |
| Attack Vector | Network | N/A | Network |
| Attack Complexity | Low | N/A | Low |
| Privileges Required | None | N/A | None |
| User Interaction | None | N/A | None |
| Scope | Unchanged | N/A | Unchanged |
| Confidentiality Impact | High | N/A | High |
| Integrity Impact | None | N/A | None |
| Availability Impact | High | N/A | High |
CVSS v3 Vector
Red Hat CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
cve.org CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
Frequently Asked Questions
Why is Red Hat's CVSS v3 score or Impact different from other vendors?
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My product is listed as "Under investigation" or "Affected", when will Red Hat release a fix for this vulnerability?
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- "Affected" means that our Analysis Team has determined that this product is affected by this vulnerability and might release a fix to address this in the near future.
What can I do if my product is listed as "Will not fix"?
Available options depend mostly on the Impact of the vulnerability and the current Life Cycle phase of your product. Overall, you have the following options:
- Upgrade to a supported product version that includes a fix for this vulnerability (recommended).
- Apply a mitigation (if one exists).
- Open a This content is not included.support case to request a prioritization of releasing a fix for this vulnerability.
What can I do if my product is listed as "Fix deferred"?
Available options depend mostly on the Impact of the vulnerability and the current Life Cycle phase of your product. Overall, you have the following options:
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- Red Hat Engineering focuses on addressing high-priority issues based on their complexity or limited lifecycle support. Therefore, lower-priority issues will not receive immediate fixes.
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