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Vulnerability record · CVE-2026-0897 · published 15 January 2026

CVE-2026-0897: Keras allocation without limits vulnerability

Keras · Keras

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.

7.1 CVSS 4.0 High EPSS 0.34% · top 75.7% CWE-770 · Allocation without limits
7.1CVSS 4.0 base score
0.34%EPSS exploitation probability, 30 days
NoNot in CISA KEV
1Affected product versions listed by NVD
7References
15 Jul 2026Last modified by NVD

Description

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.

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:

Affected products

1 vulnerable configurations from NVD's CPE data, grouped by vendor and product.

References

LinkTags
https://github.com/keras-team/keras/pull/21880 Issue TrackingPatch
https://access.redhat.com/errata/RHSA-2026:3713
https://access.redhat.com/errata/RHSA-2026:3782
https://access.redhat.com/errata/RHSA-2026:4271
https://access.redhat.com/security/cve/CVE-2026-0897
https://bugzilla.redhat.com/show_bug.cgi?id=2430027
https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-0897.json

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Related vulnerabilities

Same products first, then exploited flaws of the same weakness class.

9.8CVE-2026-12481Keras deserialization of untrusted data vulnerabilityA vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the `Lambda` la…EPSS 0.72%9.8CVE-2024-3660Keras code injection vulnerabilityA arbitrary code injection vulnerability in TensorFlow's Keras framework (<2.13) allows attackers to execute arbitrary code with the same permissions…EPSS 1.7%8.6CVE-2025-9906Keras deserialization of untrusted data vulnerabilityThe Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. One can create a specially crafted …EPSS 0.20%8.6CVE-2025-8747Keras deserialization of untrusted data vulnerabilityA safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code…EPSS 0.12%8.1CVE-2026-11816Keras path traversal vulnerabilityKeras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py…EPSS 0.56%7.8CVE-2026-1462Keras deserialization of untrusted data vulnerabilityA vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded durin…EPSS 0.40%7.3CVE-2025-9905Keras improper control of dynamically-managed code vulnerabilityThe Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. One can create a specially crafted …EPSS 0.22%7.3CVE-2025-1550Keras code injection vulnerabilityThe Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras arch…EPSS 2.6%

Source: NIST National Vulnerability Database (record CVE-2026-0897), CISA KEV, FIRST EPSS (scores of 2026-09-28). This page is refreshed as NVD updates the record.