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VULNERABILITIES

CVE-2026-54232 Details

Description

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Metrics

CVSS 3.x Severity and Vector Strings:

References to Advisories, Solutions, and Tools

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Weakness Enumeration

CWE-IDCWE NameSource
CWE-427Uncontrolled Search Path Element[email protected]

Affected Products

ProductVersions
vllm vllm
< 0.22.1

CPE

  • cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

Remediation

  • No remediation found in references.

Change History

3 change records found show changes


QUICK INFO

CVE Dictionary Entry:
CVE-2026-54232
NVD Published Date:
Jun 22, 2026
NVD Last Modified:
Jun 24, 2026
Source:
[email protected]
CVE-2026-54232 Details - Not Deferred