CVE-2026-27893

Description

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). Two model implementation files hardcode trust_remote_code=True when loading sub-components. This bypasses the user's explicit --trust-remote-code=False security opt-out, allowing a remote attacker to achieve remote code execution through malicious model repositories.

Statement

This is an Important vulnerability in vLLM, as shipped in Red Hat AI Inference Server and Red Hat OpenShift AI. The flaw allows remote code execution due to vLLM hardcoding trust_remote_code=True when loading sub-components, which bypasses the user's explicit --trust-remote-code=False security opt-out. This can lead to exploitation through malicious model repositories.

Mitigation

Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score8.8N/A8.8
Attack VectorNetworkN/ANetwork
Attack ComplexityLowN/ALow
Privileges RequiredNoneN/ANone
User InteractionRequiredN/ARequired
ScopeUnchangedN/AUnchanged
ConfidentialityHighN/AHigh
Integrity ImpactHighN/AHigh
Availability ImpactHighN/AHigh

Vector

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

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

Understanding the Weakness (CWE)

Access Control

Technical Impact: Bypass Protection Mechanism

Frequently Asked Questions

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