CVE-2026-12570
- Source
- https://cve.org/CVERecord?id=CVE-2026-12570
- Import Source
- https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-12570.json
- JSON Data
- https://api.osv.dev/v1/vulns/CVE-2026-12570
- Downstream
- Published
- 2026-08-10T06:29:56.111Z
- Modified
- 2026-08-12T04:16:24.739187996Z
- Severity
-
- 5.5 (Medium) CVSS_V3 - CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H CVSS Calculator
- 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.loadmodel() function. The H5IOStore.getitem method in keras/src/saving/savinglib.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.
- Database specific
{ "cwe_ids": [ "CWE-770" ], "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/12xxx/CVE-2026-12570.json", "cna_assigner": "@huntr_ai", "unresolved_ranges": [ { "extracted_events": [ { "fixed": "3.12.3, 3.15.0" } ], "source": "AFFECTED_FIELD" } ] }- References