CyberRota Analysis
AI-GeneratedThe vulnerability affects Keras versions up to 3.14.0, allowing attackers to exploit improper handling of HDF5 ExternalLinks, leading to unauthorized disclosure of sensitive local filesystem data. By using malicious HDF5 files, attackers can leverage functions like `KerasFileEditor` and `keras.saving.load_weights` to extract and load sensitive information from linked files. Organizations utilizing Keras for machine learning applications should prioritize patching this vulnerability to mitigate potential data exposure risks.
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 versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks. The `KerasFileEditor` and `keras.saving.load_weights` functions bypass the `safe_get_h5_group` and `safe_get_h5_dataset` helpers, which are designed to reject ExternalLinks and SoftLinks. This results in automatic dereferencing of links to external HDF5 files, enabling attackers to disclose sensitive data from the victim's local filesystem. Specifically, `KerasFileEditor` extracts attributes and datasets from linked files into its internal structures, while `keras.saving.load_weights` loads weights from linked files into the user's model. This issue can be exploited by providing a malicious `.h5`, `.weights.h5`, or `.keras` file containing ExternalLinks.