CVE-2026-12480
CVSS v3
5.5
MEDIUM
EPSS Score
0.2 %
exploit probability, as of 2026-10-17
CISA KEV
No
known exploited
Exploitation
—
SSVC status
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Affected and fixed versions
Packages from OSV.dev and products from the vendors' CSAF advisories.
version not verifiedVersions not verified: read as OSV.dev and the vendors publish them, not checked against each vendor's release list.
Packages
- kerasPyPIall versions · fixed in 3.12.3
Vendor advisories
keras: Keras: Information disclosure via malicious model archive with Virtual Dataset
rhoai/odh-kserve-agent-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · rhoai/odh-kserve-controller-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · rhoai/odh-kserve-router-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
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 3.12.2 and 3.14.1.
Technical details
- CVSS v3 Vector
- CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
- Published
- 2026-07-01
- Last Modified
- 2026-07-02
Frequently asked questions
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