GitHub Advisoryadvisory · PyPI

GHSA-26c4-7vv6-867j Keras: HDF5 virtual datasets can disclose local files

MEDIUM Published 2026-07-01 Modified 2026-08-07 Official page ↗
Aliases
CVE-2026-12480
Ecosystem
PyPI
Packages
keras
Severity
Moderate
CVSS vector
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Weaknesses
CWE-73
Reviewed
2026-08-07

Affected packages

• PyPI keras: < 3.12.3 → fixed in 3.12.3 • PyPI keras: >= 3.13.0, < 3.15.0 → fixed in 3.15.0

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.

Related

Alias · CVE (1)

  • CVE-2026-12480 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. vulnerability

Weakness · CWE (1)

  • CWE-73 External Control of File Name or Path weakness

References