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.
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Mon, 10 Aug 2026 18:30:00 +0000
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| Description | 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. | |
| Title | Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras | |
| Weaknesses | CWE-770 | |
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Status: PUBLISHED
Assigner: @huntr_ai
Published:
Updated: 2026-08-10T17:37:39.037Z
Reserved: 2026-06-18T01:55:25.311Z
Link: CVE-2026-12570
Updated: 2026-08-10T17:37:35.339Z
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OpenCVE Enrichment
Updated: 2026-08-10T07:30:14Z