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I. Basic Information for CVE-2025-24357
Vulnerability Information

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Vulnerability Title
vLLM allows a malicious model RCE by torch.load in hf_model_weights_iterator
Source: NVD (National Vulnerability Database)
Vulnerability Description
vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
可信数据的反序列化
Source: NVD (National Vulnerability Database)
Vulnerability Title
vLLM 代码问题漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
vLLM是vLLM开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM v0.7.0之前版本存在代码问题漏洞,该漏洞源于当torch.load加载恶意pickle数据时,会在unpickling期间执行任意代码。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
VendorProductAffected VersionsCPESubscribe
vllm-projectvllm < 0.7.0 -
II. Public POCs for CVE-2025-24357
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III. Intelligence Information for CVE-2025-24357
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