Safe Mode Bypass in keras-team/keras

A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.

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可信数据的反序列化

Keras 代码问题漏洞

Keras是Keras开源的一个多后端深度学习框架。 Keras 3.13.0版本存在代码问题漏洞，该漏洞源于TFSMLayer类无条件加载外部SavedModels，可能导致任意代码执行。

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