CVE-2026-12484— Keras 反序列化注入漏洞

Unsafe Deserialization in keras.layers.TorchModuleWrapper.from_config

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.

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可信数据的反序列化

Keras 反序列化注入漏洞

Keras是Keras团队开源的一个多后端深度学习框架。 Keras 3.15.0版本存在反序列化注入漏洞，该漏洞源于通过`keras.layers.TorchModuleWrapper.from_config`方法对攻击者控制的PyTorch pickle数据进行不安全反序列化，可能导致远程代码执行。

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