{"id":"PYSEC-2026-3856","summary":"Keras model loading is vulnerable to denial of service through HDF5 shape bombs","details":"A vulnerability in keras-team/keras versions \u003c 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.","aliases":["CVE-2026-12570","GHSA-74m6-m3xx-3vmj"],"modified":"2026-09-10T12:15:06.946960903Z","published":"2026-09-10T09:44:51.470942Z","references":[{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-12570"},{"type":"WEB","url":"https://github.com/keras-team/keras/pull/22975"},{"type":"WEB","url":"https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"},{"type":"PACKAGE","url":"https://github.com/keras-team/keras"},{"type":"WEB","url":"https://github.com/keras-team/keras/releases/tag/v3.15.0"},{"type":"WEB","url":"https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8"},{"type":"PACKAGE","url":"https://pypi.org/project/keras"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-74m6-m3xx-3vmj"}],"affected":[{"package":{"name":"keras","ecosystem":"PyPI","purl":"pkg:pypi/keras"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.15.0"}]}],"versions":["0.2.0","0.3.0","0.3.1","0.3.2","0.3.3","1.0.0","1.0.1","1.0.2","1.0.3","1.0.4","1.0.5","1.0.6","1.0.7","1.0.8","1.1.0","1.1.1","1.1.2","1.2.0","1.2.1","1.2.2","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.0.5","2.0.6","2.0.7","2.0.8","2.0.9","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.1.5","2.1.6","2.10.0","2.10.0rc0","2.10.0rc1","2.11.0","2.11.0rc0","2.11.0rc1","2.11.0rc2","2.11.0rc3","2.12.0","2.12.0rc0","2.12.0rc1","2.13.1","2.13.1rc0","2.13.1rc1","2.14.0","2.14.0rc0","2.15.0","2.15.0rc0","2.15.0rc1","2.2.0","2.2.1","2.2.2","2.2.3","2.2.4","2.2.5","2.3.0","2.3.1","2.4.0","2.4.1","2.4.2","2.4.3","2.5.0rc0","2.6.0","2.6.0rc0","2.6.0rc1","2.6.0rc2","2.6.0rc3","2.7.0","2.7.0rc0","2.7.0rc2","2.8.0","2.8.0rc0","2.8.0rc1","2.9.0","2.9.0rc0","2.9.0rc1","2.9.0rc2","3.0.0","3.0.1","3.0.2","3.0.3","3.0.4","3.0.5","3.1.0","3.1.1","3.10.0","3.11.0","3.11.1","3.11.2","3.11.3","3.12.0","3.12.1","3.12.2","3.12.3","3.12.4","3.13.0","3.13.1","3.13.2","3.14.0","3.14.1","3.2.0","3.2.1","3.3.0","3.3.1","3.3.2","3.3.3","3.4.0","3.4.1","3.5.0","3.6.0","3.7.0","3.8.0","3.9.0","3.9.1","3.9.2"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/keras/PYSEC-2026-3856.yaml"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H"}]}