{"id":"CVE-2026-12570","aliases":["GHSA-74m6-m3xx-3vmj"],"url":"https://o3.security/vulnerability/CVE-2026-12570","summary":"Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras","details":"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.","published":"2026-08-10T06:29:56.111Z","modified":"2026-09-05T03:30:34.030535223Z","cvss":{"score":5.5,"severity":"MEDIUM","vector":"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H"},"epss":null,"cisaKev":null,"exploitsKnown":null,"affectedPackages":[{"ecosystem":"PyPI","name":"keras","fixedVersion":"3.15.0"}],"fix":{"url":"https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c","label":"keras-team/keras@4933ea4"},"references":[{"type":"WEB","url":"https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8"},{"type":"ADVISORY","url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/12xxx/CVE-2026-12570.json"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-12570"},{"type":"FIX","url":"https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"}],"provenance":{"sources":["OSV.dev","FIRST.org (EPSS)"],"lastVerified":"2026-09-05T03:30:34.030535223Z"}}