Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. lmdeploy
  4. ›
  5. CVE-2026-33625

CVE-2026-33625: LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading

September 18, 2026

lmdeploy <= latest contains a code injection vulnerability in lmdeploy/pytorch/config.py line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model with a crafted quantization_config.quant_dtype value. When a user loads the model with lmdeploy, the quant_dtype is passed to eval(f'torch.{quant_dtype}') without any validation.

References

  • github.com/InternLM/lmdeploy/releases/tag/v0.12.3
  • github.com/InternLM/lmdeploy/security/advisories/GHSA-3hmm-rh5q-gwwr
  • github.com/advisories/GHSA-3hmm-rh5q-gwwr
  • nvd.nist.gov/vuln/detail/CVE-2026-33625

Code Behaviors & Features

Detect and mitigate CVE-2026-33625 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

Affected versions

All versions starting from 0.12.1 before 0.12.3

Fixed versions

  • 0.12.3

Solution

Upgrade to version 0.12.3 or above.

Impact 8.8 HIGH

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

Learn more about CVSS

Weakness

  • CWE-400: Uncontrolled Resource Consumption

Source file

pypi/lmdeploy/CVE-2026-33625.yml

Spotted a mistake? Edit the file on GitLab.

  • Site Repo
  • About GitLab
  • Terms
  • Privacy Statement
  • Contact

Page generated Tue, 22 Sep 2026 12:20:13 +0000.