CVE-2025-49655
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I. Basic Information for CVE-2025-49655
Vulnerability Information
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Vulnerability Title
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Description
Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/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
Keras 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Keras是Keras开源的一个多后端深度学习框架。 Keras 3.11.0版本至3.11.3之前版本存在安全漏洞，该漏洞源于反序列化不可信数据，可能导致执行任意代码。
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)
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Affected Products
II. Public POCs for CVE-2025-49655
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IV. Related Vulnerabilities
Same product: Keras
- CVE-2026-1669
Arbitrary File Read in Keras via HDF5 External Datasets - CVE-2026-0897
Denial of Service in Keras via Excessive Memory Allocation i - CVE-2025-12060
Keras keras.utils.get_file Utility Path Traversal Vulnerabil - CVE-2025-12058
Vulnerability in Keras Model.load_model Leading to Arbitrary - CVE-2025-9905
Arbitary Code execution in Keras load_model()
Same weakness: CWE-502
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