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CVE-2026-0897

HighPublished

Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata

Published: Jan 15, 2026
Updated: Jul 15, 2026
Assigning CNA: Google
Evidence observed: Aug 8, 2026

Primary CVSS

7.1/ 10High

nvd · CVSS 4.0

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

EPSS probability estimate

0.3%

Low · next 30 days

Percentile: 26.9%
Model date: Sep 21, 2026

EPSS is a statistical estimate, not a certainty or a measure of impact. Combine it with CVSS, KEV status, exposure and your environment.

Summary

Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.

Sources

CVE-2026-0897PoC
Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras
CVE-2026-PoCsResearch
A community-curated, verified collection of Proof-of-Concept exploits for CVEs disclosed in 2026.

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