An update for python-Keras is now available for openEuler-24.03-LTS-SP1 Security Advisory openeuler-security@openeuler.org openEuler security committee openEuler-SA-2026-3952 Final 1.0 1.0 2026-09-20 Initial 2026-09-20 2026-09-20 openEuler SA Tool V1.0 2026-09-20 python-Keras security update An update for python-Keras is now available for openEuler-24.03-LTS-SP1 Keras is a high-level neural networks API for Python. Security Fix(es): 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.(CVE-2026-12570) An update for python-Keras is now available for openEuler-24.03-LTS-SP1. openEuler Security has rated this update as having a security impact of medium. A Common Vunlnerability Scoring System(CVSS)base score,which gives a detailed severity rating, is available for each vulnerability from the CVElink(s) in the References section. Medium python-Keras https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3952 https://www.openeuler.org/en/security/cve/detail/?cveId=CVE-2026-12570 https://nvd.nist.gov/vuln/detail/CVE-2026-12570 openEuler-24.03-LTS-SP1 python-Keras-2.12.0-5.oe2403sp1.src.rpm python-Keras-help-2.12.0-5.oe2403sp1.noarch.rpm python3-Keras-2.12.0-5.oe2403sp1.noarch.rpm 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. 2026-09-20 CVE-2026-12570 openEuler-24.03-LTS-SP1 Medium 5.5 AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H python-Keras security update 2026-09-20 https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3952