{"dataType":"CVE_RECORD","dataVersion":"5.2","cveMetadata":{"cveId":"CVE-2026-12570","assignerOrgId":"c09c270a-b464-47c1-9133-acb35b22c19a","state":"PUBLISHED","assignerShortName":"@huntr_ai","dateReserved":"2026-06-18T01:55:25.311Z","datePublished":"2026-08-10T06:29:56.111Z","dateUpdated":"2026-08-10T17:37:39.037Z"},"containers":{"cna":{"title":"Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras","providerMetadata":{"orgId":"c09c270a-b464-47c1-9133-acb35b22c19a","shortName":"@huntr_ai","dateUpdated":"2026-08-10T06:29:56.111Z"},"descriptions":[{"lang":"en","value":"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."}],"affected":[{"vendor":"keras-team","product":"keras-team/keras","versions":[{"version":"unspecified","lessThan":"3.12.3, 3.15.0","status":"affected","versionType":"custom"}]}],"references":[{"url":"https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8"},{"url":"https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"}],"metrics":[{"cvssV3_0":{"version":"3.0","attackComplexity":"LOW","attackVector":"LOCAL","availabilityImpact":"HIGH","confidentialityImpact":"NONE","integrityImpact":"NONE","privilegesRequired":"NONE","scope":"UNCHANGED","userInteraction":"REQUIRED","vectorString":"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H","baseScore":5.5,"baseSeverity":"MEDIUM"}}],"problemTypes":[{"descriptions":[{"type":"CWE","lang":"en","description":"CWE-770 Allocation of Resources Without Limits or Throttling","cweId":"CWE-770"}]}],"source":{"advisory":"a064f475-780a-409a-82f7-678512f27ad8","discovery":"EXTERNAL"}},"adp":[{"references":[{"url":"https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8","tags":["exploit"]}],"metrics":[{"other":{"type":"ssvc","content":{"timestamp":"2026-08-10T17:37:17.637683Z","id":"CVE-2026-12570","options":[{"Exploitation":"poc"},{"Automatable":"no"},{"Technical Impact":"partial"}],"role":"CISA Coordinator","version":"2.0.3"}}}],"title":"CISA ADP Vulnrichment","providerMetadata":{"orgId":"134c704f-9b21-4f2e-91b3-4a467353bcc0","shortName":"CISA-ADP","dateUpdated":"2026-08-10T17:37:39.037Z"}}]}}