Keras: HDF5 virtual datasets can disclose local files
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 3.12.3 and 3.15.0.
beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2026-12480US | — | — | ||
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._ver… | ||||
Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/keras-team/kerasPACKAGE
- https://github.com/keras-team/keras/commit/8f987f11bf7512f0df4774a8f1557bba07dc2b49WEB
- https://github.com/keras-team/keras/commit/d5a88bdb137c0d3039b8f4bbbe8c7099925cc10cWEB
- https://github.com/keras-team/keras/releases/tag/v3.12.3WEB
- https://github.com/keras-team/keras/releases/tag/v3.15.0WEB
- https://huntr.com/bounties/1875d257-5b03-4a69-ac70-e98653fa12c7WEB
- https://nvd.nist.gov/vuln/detail/CVE-2026-12480ADVISORY
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