Vulnary
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Critical· 9.1official fix available

CVE-2026-48746

vLLM is an inference engine for large language models. A vulnerability in versions 0.3.0 through 0.22.0 allows attackers to bypass the OpenAI API authentication middleware, enabling use of the API without a key. The issue is fixed in vllm 0.22.0.

publishedJun 22, 2026
last modifiedJul 22, 2026
sourcesNVD
severity · cvss
9.1
critical · how bad it is
exploitation · epss
1%
64th percentile · chance of exploitation in 30 days
(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →
auto-deletes from the system
counting…on Aug 20, 2026

An official fix is available, so this entry is kept for 30 days and then removed automatically.

01

Who is affected

vLLM vllm, versions 0.3.0 to 0.22.0, used by developers deploying LLM inference services.

02

Real-world impact

An attacker could call the API without authentication, potentially consuming resources, accessing data, or causing denial of service.

03

Why this severity

The CVSS score of 9.1 reflects the lack of authentication (PR:N), low attack complexity, and high impact on confidentiality and availability.

04

What to do about it

official fix available
recommended steps
  1. 01Upgrade vllm to version 0.22.0 or later.
  2. 02Restart the service to apply the update.

NVD description

05

Timeline

  1. Jun 22, 2026 · Jun 22, 2026
    Published
    Disclosed and added to the National Vulnerability Database.
  2. Jul 21, 2026 · 14d ago
    Official fix available
    A vendor patch or mitigation now exists — see the remediation steps above.
  3. Jul 22, 2026 · 13d ago
    Advisory updated
    The NVD record was last revised.
06

How it’s attacked

Attack vectorNetwork (remote)
Attack complexityLow
Privileges requiredNone
User interactionNone needed
ScopeUnchanged
Confidentiality impactHigh
Integrity impactNone
Availability impactHigh
07

References & advisories

(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →