PYSEC-2026-3856

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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 < 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.

References: https://nvd.nist.gov/vuln/detail/CVE-2026-12570, https://github.com/keras-team/keras/pull/22975, https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c, https://github.com/keras-team/keras, https://github.com/keras-team/keras/releases/tag/v3.15.0, https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8, https://pypi.org/project/keras, https://github.com/advisories/GHSA-74m6-m3xx-3vmj