{"id":"OESA-2026-3952","summary":"python-Keras security update","details":"Keras is a high-level neural networks API for Python.\r\n\r\nSecurity Fix(es):\n\nA 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)","modified":"2026-09-20T13:30:27.385245154Z","published":"2026-09-20T13:23:32Z","upstream":["CVE-2026-12570"],"database_specific":{"severity":"Medium"},"references":[{"type":"ADVISORY","url":"https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2026-3952"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-12570"}],"affected":[{"package":{"name":"python-Keras","ecosystem":"openEuler:24.03-LTS-SP1","purl":"pkg:rpm/openEuler/python-Keras&distro=openEuler-24.03-LTS-SP1"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.12.0-5.oe2403sp1"}]}],"ecosystem_specific":{"noarch":["python-Keras-help-2.12.0-5.oe2403sp1.noarch.rpm","python3-Keras-2.12.0-5.oe2403sp1.noarch.rpm"],"src":["python-Keras-2.12.0-5.oe2403sp1.src.rpm"]},"database_specific":{"source":"https://repo.openeuler.org/security/data/osv/OESA-2026-3952.json"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H"}]}