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CVE-2026-12570: A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack w…

Occurred: Aug 10, 2026
Published: Aug 10, 2026
Source: NVD CVE

Summary

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.

Classification

Category confidence: 85%

Severity confidence: 90%

Rationale: Vulnerability in Keras ML library allows DoS via malicious model files, affecting ML pipelines.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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