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

High 8.8 Published Updated

Attackers can execute arbitrary code by tricking users into loading malicious model files due to insecure deserialization in LMDeploy.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
A user has to click or open something
Fix
Available

What is CVE-2025-67729?

CVE-2025-67729 is a high-severity unsafe deserialization vulnerability in InternLM lmdeploy, published on 26 Dec 2025. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.

Official 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.

Weakness: CWE-502

Which versions are affected by CVE-2025-67729?

3 open source packages ship an affected version, including lmdeploy. It affects 1 product.

PackageAffectedFixed in
lmdeploy PyPIAll versions0.11.1
lmdeploy PyPIAll versions0.11.1
lmdeploy PyPIAll versions0.11.1

Products include Internlm Lmdeploy.

How do I fix CVE-2025-67729?

Upgrade lmdeploy to 0.11.1 or later.

Upgrade, and only deserialise data from trusted sources or with an allow-list of types. More about Unsafe deserialization.

Is CVE-2025-67729 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-67729 exists.

Sources

Also known as GHSA-9pf3-7rrr-x5jh, PYSEC-2026-1578.

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