Skip to content
KerasGHSA-74m6-m3xx-3vmj

Keras model loading is vulnerable to denial of service through HDF5 shape bombs

Medium5.5CVE-2026-12570 · Published Aug 10, 2026 · updated Sep 10, 2026

GitHub advisory

Affected versions

PackageAffectedFixed in
keras
PyPI
< 3.15.03.15.0
Details and references

A vulnerability in keras-team/keras versions < 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models.

CVSS 3.0
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-770
Also known as
CVE-2026-12570, PYSEC-2026-3856

More Keras advisories

All Keras
DateAdvisory
Aug 2Keras: HDF5 links can disclose local file contents
CVE-2026-9335Medium6.5fixed in 3.12.3, 3.15.0
Jul 19Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data
CVE-2026-12484High7.8fixed in 3.12.3, 3.15.0
Jul 14Keras: tar extraction permits symlink-based path traversal
CVE-2026-12482Low3.1fixed in 3.12.3, 3.15.0
Jul 3Keras: Lambda deserialization can bypass safe mode and execute code
CVE-2026-12481High8.8fixed in 3.12.3, 3.15.0
Jul 1Keras: HDF5 virtual datasets can disclose local files
CVE-2026-12480Medium5.5fixed in 3.12.3, 3.15.0
Jun 22Keras: DiskIOStore permits path traversal through crafted layer names
CVE-2026-12479Medium6.1fixed in 3.12.3, 3.15.0

Critical advisories by email

Wednesdays: the week’s critical and high advisories in the AI and data stack, with the fixed versions. Only in weeks that have some.

Double opt-in. Unsubscribe any time.