CVE-2026-1669 Arbitrary File Read in Keras via HDF5 External Datasets

High 7.1 Published Updated

Attackers can read local files and disclose sensitive information by tricking users into loading a crafted Keras model file with malicious HDF5 references.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
A user has to click or open something
Fix
Available

What is CVE-2026-1669?

CVE-2026-1669 is a high-severity path traversal vulnerability in Google Keras, published on 11 Feb 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.

Official description

Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references.

Weakness: CWE-73, CWE-200

Which versions are affected by CVE-2026-1669?

5 open source packages ship an affected version, including keras. It affects 1 product.

PackageAffectedFixed in
keras PyPIFrom 3.0.03.12.1, 3.13.2
keras PyPIFrom 3.0.03.12.1
keras PyPIFrom 3.0.03.12.1
keras PyPIFrom 3.13.03.13.2
keras PyPIFrom 3.13.03.13.2

Products include Keras Keras.

How do I fix CVE-2026-1669?

Upgrade keras to a fixed version for your release line: 3.12.1 or 3.13.2.

Upgrade, and resolve every user-supplied path against an allowed base folder before opening it. More about Path traversal.

Is CVE-2026-1669 being exploited?

There is no known exploitation of CVE-2026-1669 in the wild and no public exploit code.

Sources

Also known as AZL-77414, DEBIAN-CVE-2026-1669, GHSA-3m4q-jmj6-r34q, MINI-q9rp-q92v-7v3x, PYSEC-2026-2546, UBUNTU-CVE-2026-1669.

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