CVE-2026-12481— Keras 反序列化注入漏洞

Deserialization of Untrusted Data in keras-team/keras

A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the `Lambda` layer. Specifically, the `_raise_for_lambda_deserialization()` function fails to enforce the safe-mode guard when `safe_mode` is set to `None`, which is the default value when `from_config()` is called outside of a `SafeModeScope` context. This logic error conflates `None` (unset/default-deny) with `False` (explicitly disabled), bypassing the guard and allowing attacker-controlled `marshal` bytecode to be deserialized. Affected call sites include `keras.layers.deserialize(config)`, `keras.models.clone_model(model)`, and any direct invocation of `Lambda.from_config(config)` without an enclosing `SafeModeScope(True)`. This vulnerability can be exploited to achieve arbitrary OS-level code execution in the context of the server or user process.

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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 3.14.0版本存在反序列化注入漏洞，该漏洞源于对Lambda层反序列化处理不当，导致代码执行。

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