Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2026-27893: CWE-693: Protection Mechanism Failure in vllm-project vllm

0
High
VulnerabilityCVE-2026-27893cvecve-2026-27893cwe-693
Published: Thu Mar 26 2026 (03/26/2026, 23:56:53 UTC)
Source: CVE Database V5
Vendor/Project: vllm-project
Product: vllm

Description

vLLM versions from 0. 10. 1 up to but not including 0. 18. 0 contain a vulnerability where two model implementation files hardcode the setting trust_remote_code=True. This bypasses the user's explicit opt-out of remote code execution, enabling potential remote code execution via malicious model repositories. The issue is fixed in version 0. 18. 0.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 04/03/2026, 13:41:28 UTC

Technical Analysis

The vLLM inference and serving engine for large language models has a protection mechanism failure (CWE-693) in versions >=0.10.1 and <0.18.0. Specifically, two model implementation files hardcode the parameter trust_remote_code=True when loading sub-components, ignoring the user's explicit security setting --trust-remote-code=False. This flaw allows an attacker to execute arbitrary code remotely by supplying malicious model repositories, even when users have disabled remote code trust. The vulnerability is addressed in vLLM version 0.18.0.

Potential Impact

Successful exploitation allows remote code execution with high impact on confidentiality, integrity, and availability. Attackers can run arbitrary code on the victim's system by leveraging malicious model repositories, bypassing user security preferences.

Mitigation Recommendations

Upgrade to vLLM version 0.18.0 or later, where this issue is patched. Users relying on earlier versions should update promptly to eliminate the vulnerability. No other mitigations are indicated by the vendor advisory.

Pro Console: star threats, build custom feeds, automate alerts via Slack, email & webhooks.Upgrade to Pro

Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-02-24T15:19:29.717Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69c5c8713c064ed76fe63c5e

Added to database: 3/26/2026, 11:59:45 PM

Last enriched: 4/3/2026, 1:41:28 PM

Last updated: 5/11/2026, 6:09:31 AM

Views: 300

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses