HighVulnerabilityLLM-specific

CVE-2026-46517: LMDeploy remote code execution through hardcoded trust_remote_code

Source: NVD(opens in a new tab)
Identifier: CVE-2026-46517
Published: June 9, 2026
Record updated: October 9, 2026

Affected: lmdeploy <= 0.12.3
Fixed in: 0.13.0
released May 12, 2026, 29 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.2%

Summary

CVE-2026-46517 affects LMDeploy, a toolkit for compressing, deploying, and serving large language models, in versions 0.12.3 and prior. The source says a hardcoded "trust_remote_code=True" setting enables HF supply-chain RCE without user opt-in. As of publication, no publicly available patches exist.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 7.8(high)
Patch available: Yes
CVSS vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack vector: local
Attack complexity: low
Privileges required: none
User interaction: required
EPSS: 0.2%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.
Disclosure date: June 9, 2026

Weaknesses and techniques

Weakness (CWE): CWE-94
CWE-915
CWE-1188
Attack pattern (CAPEC): CAPEC-242
AI threat technique (MITRE ATLAS): AML.T0010

Affected

Packages: lmdeploy@<= 0.12.3 (fixed: 0.13.0)

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: Inference
Impact: Confidentiality,
Integrity
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-46517

First tracked: June 10, 2026 at 02:09 AM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 95% (self-assessed)

Summary

Mitigation

Related items