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CVE-2025-67729

lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()

Published: Dec 26, 2025Updated: Dec 31, 2025 Sources: CVE List NVD GHSACWE-502
8.8HIGH
NVD MITRE
EPSS Score
0.5%
Top 60.9%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
Not available

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.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:RS:UC:HI:HA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:RUser Interaction
Required
Scope
S:UScope
Unchanged
Impact
C:HConfidentiality
High
I:HIntegrity
High
A:HAvailability
High
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Weaknesses

CWE-502

Affected Products

InternLM
commercial·CNaka lmdeploy
lmdeployMixed
AI / ML / llm-serving-inference
PyPI
package-ecosystem
lmdeploy
OSS Libraries
and 1 more affected products View all →

Exploitability

Official Patch Available
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Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

3 techniques
Execution
Initial Access
View detailed technique mapping

References

https://github.com/InternLM/lmdeploy/security/advisories/GHSA-9pf3-7rrr-x5jh
github.com
https://github.com/InternLM/lmdeploy/commit/eb04b4281c5784a5cff5ea639c8f96b33b3ae5ee
github.com
https://nvd.nist.gov/vuln/detail/CVE-2025-67729
nvd.nist.gov
and 1 more references View all →

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