Vulnerability · Published Jul 1, 2026 · Assigned by @huntr_ai
CVE-2026-12480Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras
Medium 5.5
In plain English
A medium-severity security flaw in keras-team/keras from keras-team. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | keras | 3.12.3 | GHSA-26c4-7vv6-867j |
| PyPI | keras | 3.15.0 | GHSA-26c4-7vv6-867j |
| PyPI | keras | 3.12.3, 3.15.0 | PYSEC-2026-3629 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| keras-team | keras-team/keras | unspecified – before 3.12.2, 3.14.1 |
Weakness: CWE-73 · Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N