CVE-2026-9335: A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improp
Summary
Keras (a machine learning library) versions 3.14.0 and earlier have a vulnerability where certain functions bypass safety checks and automatically follow ExternalLinks (references to files outside the main file) in HDF5 files (a format for storing large scientific data). An attacker can create a malicious Keras model file that tricks the library into reading sensitive data from anywhere on a victim's computer and either extracting it or loading it into the user's model.
Vulnerability Details
EPSS: 0.0%
August 2, 2026
Classification
Affected Vendors
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-9335
First tracked: August 2, 2026 at 02:07 AM
Classified by LLM (prompt v3) · confidence: 95%