Review reviewCritical

CVE-2026-48746

vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

CVSS: 9.1
EPSS: 1.15%
CISA KEV: Not listed
Published: 2026.06.23

PRIORITY ASSESSMENT

Review review

The CVSS severity warrants an early asset and exposure review.

Known exploitationNot established by KEV

Exploit probability1.15%

Technical severityCVSS 9.1

Vulnerability overview

Affected product and versions

Product: vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3
Affected versions: >= >= 0.3.0, < 0.22.0, >= 0.3.0 < 0.22.0
Fixed versions: 0.22.0

Recommended response sequence

Confirm exposure before applying a vendor-supported change.

Full remediation guide

1
Identify
Confirm that vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3 and an affected version are present.
2
Prioritize
Combine exploitation signals with asset exposure and business criticality.
3
Remediate
Follow the vendor advisory or supported update path and preserve rollback options.
4
Verify
Recheck the version, service health, access paths, and relevant logs.

Technical data

CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
CWE: CWE-444, CWE-501