REDHAT-BUG-2491581: High severity vllm vulnerability

Published Jun 22, 2026
·
Updated

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 VLLMAPIKEY or --api-key. This vulnerability is fixed in 0.22.0.

Affected Software

1 affected component
vllm>0.3.0<0.22.0

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade vLLM to a version that resolves this vulnerability.

    Fixed in 0.22.0

Event History

Jun 22, 2026
Data Sourced
via Red Hat·11:01 PM
DescriptionSeverityAffected Software
Free Weekly Intel

Don't miss critical vulnerabilities

Join thousands of security professionals who receive our weekly digest of trending CVEs, zero-days, and exploited vulnerabilities.

No spam. Unsubscribe anytime.

Frequently Asked Questions

1

What is the severity of REDHAT-BUG-2491581?

The severity of REDHAT-BUG-2491581 is high, rated at 7.

2

How do I fix REDHAT-BUG-2491581?

To fix REDHAT-BUG-2491581, update vLLM to a version above 0.22.0.

3

What consequences does REDHAT-BUG-2491581 pose?

REDHAT-BUG-2491581 allows an authentication bypass for the OpenAI API, enabling unauthorized usage.

4

Which versions of vLLM are affected by REDHAT-BUG-2491581?

Versions of vLLM from 0.3.0 until 0.22.0 are affected by REDHAT-BUG-2491581.

5

What is vLLM in relation to REDHAT-BUG-2491581?

vLLM is an inference and serving engine for large language models that is impacted by REDHAT-BUG-2491581.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203