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CVE-2026-12480 Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras

A high-severity vulnerability, CVE-2026-12480, affects the `keras-team/keras` library, enabling an arbitrary HDF5 file read via a virtual dataset bypass, potentially leading to sensitive information disclosure or exfiltration from systems utilizing the library.

A significant vulnerability, identified as CVE-2026-12480, has been disclosed affecting the keras-team/keras open-source library. Published on July 7, 2026, this flaw permits an arbitrary HDF5 file read through a virtual dataset bypass mechanism. While the specific method of exploitation is not detailed in the public advisory, it typically involves an attacker providing a specially crafted HDF5 file to a Keras application or manipulating its processing of HDF5 data. Given Keras's widespread use in machine learning and deep learning applications, which often handle sensitive datasets, model weights, and configuration files, this vulnerability poses a substantial risk. Successful exploitation could allow attackers to access or exfiltrate critical information from the compromised system, impacting data integrity and confidentiality.

Impact

The arbitrary HDF5 file read vulnerability (CVE-2026-12480) could lead to severe information disclosure. If exploited, attackers could read any file accessible by the process running the vulnerable Keras application. This includes sensitive data files used for model training, intellectual property in the form of machine learning model weights, configuration files containing API keys or credentials, and potentially other confidential information stored on the host system. While no specific victims or observed exploitation are detailed, the widespread adoption of Keras across various sectors, including research, technology, and finance, suggests a broad potential attack surface.

Recommendation

  • Prioritize patching for CVE-2026-12480 in all instances of the keras-team/keras library immediately. Consult the vendor's guidance for specific patch versions.
  • Review access controls for systems running Keras applications, limiting the process's ability to read files outside its necessary operational scope to mitigate impact from CVE-2026-12480.
  • Implement robust input validation for any applications processing external or untrusted HDF5 files using the keras library.