← Vulnerability feed

Vulnerability record · CVE-2026-54232 · published 22 June 2026

CVE-2026-54232: Vllm uncontrolled search path element vulnerability

Vllm · Vllm

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.

8.8 CVSS 3.1 High EPSS 0.56% · top 55.4% CWE-427 · Uncontrolled search path element
8.8CVSS 3.1 base score
0.56%EPSS exploitation probability, 30 days
NoNot in CISA KEV
1Affected product versions listed by NVD
1References, 1 tagged exploit
24 Jun 2026Last modified by NVD

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.

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Affected products

1 vulnerable configurations from NVD's CPE data, grouped by vendor and product.

References

Track CVE-2026-54232 inside VULONE

Watch it alongside the ransomware crews, C2 infrastructure and forum chatter that reference it, query it through the API and pull it into your SIEM over TAXII.

Start free Open in platform

Related vulnerabilities

Same products first, then exploited flaws of the same weakness class.

9.8CVE-2026-25960Vllm server-side request forgery (ssrf) vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in…EPSS 0.72%9.8CVE-2026-22778Vllm sensitive information in log file vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multim…EPSS 10%9.8CVE-2026-22807Vllm code injection vulnerabilityvLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging …EPSS 0.83%9.8CVE-2025-47277Vllm deserialization of untrusted data vulnerabilityvLLM, an inference and serving engine for large language models (LLMs), has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments u…EPSS 0.96%9.8CVE-2025-32444Vllm deserialization of untrusted data vulnerabilityvLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.6.5 and prior to 0.8.5, having vLLM in…EPSS 1.8%9.8CVE-2024-11041Vllm deserialization of untrusted data vulnerabilityvllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue() API function. The function uses pickle.loads to parse receive…EPSS 1.6%9.1CVE-2026-48746Vllm http request smuggling vulnerabilityvLLM 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'…EPSS 1.2%9.0CVE-2025-29783Vllm deserialization of untrusted data vulnerabilityvLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization…EPSS 0.73%

Source: NIST National Vulnerability Database (record CVE-2026-54232), CISA KEV, FIRST EPSS (scores of 2026-09-27). This page is refreshed as NVD updates the record.