PYSEC-2026-3139 Reachable Assertion in Tensorflow

Impact When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. Patches We have patched the issue in GitHub...

Reachable Assertion in Tensorflow

ImpactWhen decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. PatchesWe have patched the issue in GitHub...

PT-2026-59756

Impact When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. Patches We have patched the issue in GitHub...

PT-2026-59895

Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.raw ops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...

Unity Linux 20.1070a Security Update: kernel (UTSA-2025-433314)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-433314 advisory. In the Linux kernel, the following vulnerability has been resolved: VMCI: Fix use-after-free when removing resource in vmciresourceremove When removing a resource fr...

EUVD-2022-2670

Malicious code in bioql PyPI...

EUVD-2022-27893

Malicious code in bioql PyPI...

CVE-2022-29207

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

BIT-TENSORFLOW-2022-29207 Undefined behavior when users supply invalid resource handles in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

SUSE CVE-2022-23564

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow...

SUSE CVE-2022-29207

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

Google TensorFlow has an unspecified vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which stems from an invalid resource handle provided to the application when , multiple tensorflow...

CVE-2022-29207

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

Null pointer dereference

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

CVE-2022-29207 Undefined behavior when users supply invalid resource handles in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

CVE-2022-29207 Undefined behavior when users supply invalid resource handles in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

CVE-2022-29207

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...

PT-2022-19459

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to...

Google TensorFlow安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which stems from an invalid resource handle provided to the application when , multiple tensorflow...

GHSA-8RCJ-C8PJ-V3M3 Reachable Assertion in Tensorflow

Impact When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. Patches We have patched the issue in GitHub...