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CVE-2025-66455— LMDeploy has Remote Code Execution by Pickle Deserialization via handle_zmq_recv in lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.py

Quick assessment

Affected
InternLM lmdeploy
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

LMDeploy 是一个用于压缩、部署和运行大语言模型的工具包。从 0.9.2 版本开始，在 0.16.0 版本之前，LMDeploy 的 PyTorch DistServe/PD 分离式推理（PD-disaggregation）控制平面使用 通过 ZeroMQ PULL 套接字反序列化接收到的消息。PyZMQ 使用 Python pickle 反序列化来实现 ，而在重建对象时可能会执行任意代码。接收端使用的对等地址是通过 HTTP 端点提供的。能够访问受影响的 DistServe API 服务器的攻击者可以促使服

CVSS 9.8 · Critical EPSS 1.27% · P70

Affected Version Matrix 1

VendorProduct Version RangeStatus
InternLM lmdeploy >= 0.9.2, < 0.16.0 affected
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I. Basic Information for CVE-2025-66455

Vulnerability Information
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Vulnerability Title
LMDeploy has Remote Code Execution by Pickle Deserialization via handle_zmq_recv in lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.py
Source: CVE Program / CVE List V5
Vulnerability Description
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.2 and prior to version 0.16.0, LMDeploy's PyTorch DistServe/PD-disaggregation control plane used `recv_pyobj()` to deserialize messages received through a ZeroMQ PULL socket. PyZMQ implements `recv_pyobj()` using Python pickle deserialization, which can execute arbitrary code while reconstructing an object. The peer address used by the receiver was supplied through the `POST /distserve/p2p_connect` HTTP endpoint. An attacker who could reach an affected DistServe API server could cause the server to connect to an attacker-controlled ZeroMQ endpoint and deserialize a crafted pickle payload. API-key authentication is not enabled unless the operator explicitly configures it. As a result, affected DistServe deployments without API keys allowed unauthenticated remote code execution with the privileges of the LMDeploy serving process. This issue affects the PyTorch backend when PD-disaggregation/DistServe is enabled. Ordinary deployments that do not use the affected disaggregated-serving path do not expose this data flow. The fix was released in LMDeploy 0.16.0. Users who cannot upgrade immediately should prevent untrusted clients from reaching `/distserve/*` endpoints, restrict the DistServe HTTP and ZeroMQ control planes to trusted cluster networks, configure API-key authentication, and block arbitrary outbound ZeroMQ connections from serving nodes. These measures reduce exposure but do not make pickle deserialization safe.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
可信数据的反序列化
Source: CVE Program / CVE List V5

Affected Products

Vendor Product Affected Versions CPE Subscribe
InternLM lmdeploy >= 0.9.2, < 0.16.0 -

II. Public POCs for CVE-2025-66455

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III. Intelligence Information for CVE-2025-66455

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Patches & Fixes for CVE-2025-66455 (1)

Vendor Pages for CVE-2025-66455 (1)

Other References for CVE-2025-66455 (1)

IV. Related Vulnerabilities

Same product: lmdeploy
Same vendor: InternLM
Same weakness: CWE-502