InternLM LMDeploy up to 0.18.0 Pickle ForkingPickler.loads serialized_named_tensors os command injection

Summaryinfo

A vulnerability was found in InternLM LMDeploy up to 0.18.0. It has been classified as critical. Affected is the function ForkingPickler.loads of the component Pickle Handler. This manipulation of the argument serialized_named_tensors causes os command injection. This vulnerability is registered as CVE-2026-119706. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability classified as critical was found in InternLM LMDeploy up to 0.18.0. Affected by this vulnerability is the function ForkingPickler.loads of the component Pickle Handler. The manipulation of the argument serialized_named_tensors with an unknown input leads to a os command injection vulnerability. The CWE definition for the vulnerability is CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

InternLM LMDeploy 0.9.0 through 0.18.0 contains an unauthenticated remote code execution vulnerability that allows remote attackers to run OS commands by sending pickled data to the /update_weights endpoint. Attackers can submit a base64-encoded crafted pickle in serialized_named_tensors, which ForkingPickler.loads deserializes without validation, executing commands as the api_server process.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-119706 since 10/30/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/30/2026). The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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Productinfo

Vendor

• InternLM

Name

• LMDeploy

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8
• 0.9
• 0.10
• 0.11
• 0.12
• 0.13
• 0.14
• 0.15
• 0.16
• 0.17
• 0.18.0

Website

• Product: https://github.com/InternLM/lmdeploy/

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