PYSEC-2026-73

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...

AZL-74631 CVE-2026-0897 affecting package keras for versions less than 3.3.3-6

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...

PYSEC-2026-73

Allocation of Resources Without Limits or Throttling in the HDF5 weight loading componentin GoogleKeras3.0.0 through 3.13.0on all platformsallows a remote attackerto cause a Denial of Service DoS through memory exhaustion and a crash of the Python interpretervia a crafted .keras archive containin...

CVE-2026-0897

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...

UBUNTU-CVE-2026-0897

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...

CVE-2026-0897 Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata

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...

CVE-2026-0897

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...

CVE-2026-0897

Removed by vendor...

CVE-2026-0897 Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata

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...

CVE-2026-0897 Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata

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...

CVE-2026-0897

CVE-2026-0897 affects Google Keras (3.0.0–3.13.0) via the HDF5 weight loading component. A crafted .keras archive containing a valid model.weights.h5 file with an extremely large dataset shape can trigger memory exhaustion and crash the Python interpreter, causing a Denial of Service. Some connec...

Keras security vulnerabilities

Keras is an open-source deep learning framework with multiple backends. Versions 3.0.0 to 3.13.0 of Keras contain security vulnerabilities. These vulnerabilities stem from the HDF5 weight loading component, which allows unlimited or throttled resource allocation. This could allow remote attackers...

PT-2026-3014

Name of the Vulnerable Software and Affected Versions Keras versions 3.0.0 through 3.13.0 Description A flaw exists in the HDF5 weight loading component of Keras that allows for a denial of service. An attacker can provide a crafted .keras archive containing a valid model.weights.h5 file. This fi...

CVE-2021-41196

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window...

TFSMLayer bypasses `safe_mode=True`, allowing attacker-controlled code execution during model inference

Summary TFSMLayer allows loading attacker-controlled TensorFlow SavedModels when deserializing a .keras model, even when safemode=True the default. While TensorFlow does not execute SavedModel functions during load, the attacker-controlled graph is registered during deserialization and executes...

Security Bulletin: IBM Maximo Application Suite - Monitor Component uses keras-2.14.0-py3-none-any.whl which is vulnerable to CVE-2025-1550.

Summary IBM Maximo Application Suite - Monitor Component uses keras-2.14.0-py3-none-any.whl which is vulnerable to CVE-2025-1550. This bulletin contains information addressing the vulnerability. Vulnerability Details CVEID:CVE-2025-1550 DESCRIPTION: The Keras Model.loadmodel function permits...

Security Bulletin: IBM Maximo Application Suite - Monitor Component uses keras-2.14.0-py3-none-any.whl which is vulnerable to CVE-2024-55459.

Summary IBM Maximo Application Suite - Monitor Component uses keras-2.14.0-py3-none-any.whl which is vulnerable to CVE-2024-55459. This bulletin contains information addressing the vulnerability. Vulnerability Details CVEID:CVE-2024-55459 DESCRIPTION: An issue in keras 3.7.0 allows attackers to...

Security Bulletin: IBM Maximo Application Suite uses multiple third party dependencies which are vulnerable to CVEs.

Summary IBM Maximo Application Suite uses "torch-2.8.0-cp310-none-macosx110arm64.whl, starlette-0.48.0-py3-none-any.whl, keras-2.14.0-py3-none-any.whl, urllib3-1.26.19-py2.py3-none-any.whl, urllib3-1.26.20-py2.py3-none-any.whl, urllib3-2.5.0-py3-none-any.whl", which are vulnerable to...

Security Bulletin: Arbitrary Code Execution in Keras

Summary Keras is used by many machine learning frameworks and applications as part of their deep learning infrastructure. Remote attackers can execute arbitrary code, leading to full system compromise, data breaches, and potential lateral movement where the identified vulnerability is present...

📄 Keras 2.15 Insecure Deserialization

Keras version 2.15 insecure deserialization proof of concept exploit. A security issue in certain versions of Keras allows attackers to craft a malicious model file typically a .keras or HDF5-based model containing unsafe serialization primitives. When such a model is loaded, the deserialization...