Review reviewHigh

CVE-2026-27893

vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3

vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.

CVSS: 8.8
EPSS: 1.35%
CISA KEV: Not listed
Published: 2026.03.27

PRIORITY ASSESSMENT

Review review

The CVSS severity warrants an early asset and exposure review.

Known exploitationNot established by KEV

Exploit probability1.35%

Technical severityCVSS 8.8

Vulnerability overview

Affected product and versions

Product: vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3
Affected versions: >= >= 0.10.1, < 0.18.0, >= 0.10.1 < 0.18.0
Fixed versions: 0.18.0

Recommended response sequence

Confirm exposure before applying a vendor-supported change.

Full remediation guide

1
Identify
Confirm that vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3 and an affected version are present.
2
Prioritize
Combine exploitation signals with asset exposure and business criticality.
3
Remediate
Follow the vendor advisory or supported update path and preserve rollback options.
4
Verify
Recheck the version, service health, access paths, and relevant logs.

Technical data

CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE: CWE-501, CWE-693