CyberRota Analysis
AI-GeneratedThe vulnerability in Keras version 3.15.0 allows for unsafe deserialization of attacker-controlled PyTorch pickle data via the `TorchModuleWrapper.from_config` method, potentially leading to arbitrary code execution when untrusted configurations are processed. This issue arises from the method's failure to enforce safe deserialization practices unless explicitly set to safe mode. Organizations using Keras for machine learning applications should prioritize addressing this vulnerability to mitigate the risk of exploitation.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
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.