vLLM up to 0.22.0 uncontrolled search path

Summaryinfo

A vulnerability was found in vLLM up to 0.22.0 and classified as problematic. Affected by this issue is some unknown functionality. Such manipulation leads to uncontrolled search path. This vulnerability is traded as CVE-2026-54232. An attack has to be approached locally. There is no exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in vLLM up to 0.22.0. It has been rated as critical. Affected by this issue is an unknown code. The manipulation with an unknown input leads to a uncontrolled search path vulnerability. Using CWE to declare the problem leads to CWE-427. The product uses a fixed or controlled search path to find resources, but one or more locations in that path can be under the control of unintended actors. Impacted is confidentiality, integrity, and availability. CVE summarizes:

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.

The advisory is shared for download at github.com. This vulnerability is handled as CVE-2026-54232 since 06/12/2026. The exploitation is known to be difficult. The attack needs to be approached locally. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1574.

Upgrading to version 0.22.1 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at CERT Bund (WID-SEC-2026-1860). VulDB is the best source for vulnerability data and more expert information about this specific topic.

Affected

• Open Source vllm

Productinfo

Name

• vLLM

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8
• 0.9
• 0.10
• 0.11
• 0.12
• 0.13
• 0.14
• 0.15
• 0.16
• 0.17
• 0.18
• 0.19
• 0.20
• 0.21
• 0.22.0

CPE 2.3info

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CPE 2.2info

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VulDB is the best source for vulnerability data and more expert information about this specific topic.

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