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MEDIUM

CVE-2026-12570

CVSS v3

5.5

MEDIUM

EPSS Score

0.1 %

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 3.15.0

Vendor advisories

  • CVE-2026-12570 Red Hat Product Security9 known affected

    keras: Keras: Denial of Service via HDF5 Shape Bomb when loading malicious model files

    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)

Full record on NVD

Description

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.

Technical details

CVSS v3 Vector
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
Published
2026-08-10
Last Modified
2026-08-10

Frequently asked questions

What is CVE-2026-12570?

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.

Is CVE-2026-12570 actively exploited?

Active exploitation of CVE-2026-12570 has not been confirmed. Its EPSS score was 0.1% on 2026-10-17, the estimated probability of exploitation in the next 30 days.

What is the CVSS score for CVE-2026-12570?

CVE-2026-12570 has a CVSS v3 base score of 5.5 (MEDIUM severity), with vector string CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H.

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