Bug 2496097 (CVE-2026-12480) - CVE-2026-12480 keras: Keras: Information disclosure via malicious model archive with Virtual Dataset
Summary: CVE-2026-12480 keras: Keras: Information disclosure via malicious model archi...
Keywords:
Status: NEW
Alias: CVE-2026-12480
Product: Security Response
Classification: Other
Component: vulnerability
Version: unspecified
Hardware: All
OS: Linux
medium
medium
Target Milestone: ---
Assignee: Product Security DevOps Team
QA Contact:
URL:
Whiteboard:
Depends On:
Blocks:
TreeView+ depends on / blocked
 
Reported: 2026-07-01 18:02 UTC by OSIDB Bzimport
Modified: 2026-07-03 09:51 UTC (History)
2 users (show)

Fixed In Version:
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Description OSIDB Bzimport 2026-07-01 18:02:19 UTC
Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.2 and 3.14.1.


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