GHSA-26c4-7vv6-867j

Keras: HDF5 virtual datasets can disclose local files

En bref

Publiée
Mise à jour
CVE
CVE-2026-12480
Alias
PYSEC-2026-3629
CVSS_V3
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N

Description

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.

Paquets affectés

PaquetVersions
PyPI · kerasintroduced 0, fixed 3.12.3
PyPI · kerasintroduced 3.13.0, fixed 3.15.0

Références

Sources

SourceLicence
OSV.devCC-BY 4.0 — GitHub Advisory Database