EUVD-2022-6958

Malicious code in bioql PyPI...

SUSE CVE-2023-25675

TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1...

AZL-35320 CVE-2023-25675 affecting package tensorflow for versions less than 2.11.1-1

TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1...

CVE-2023-25675

TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1...

SUSE CVE-2022-35987

TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...

CVE-2022-35987

TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...

PT-2022-23085 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.0 through 2.9.0 TensorFlow versions 2.8.0 through 2.8.0 TensorFlow versions 2.7.0 through 2.7.1 Description: The DenseBincount function in TensorFlow assumes its input tensor weights...

Tensorflow Data Validation Vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow version 2.3.0 that stems from the inability of the SparseCountSparseOutput and RaggedCountSparseOutput implementations to verify that the weights...

PYSEC-2020-119

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified. In the sparse and ragged count weights a...

PYSEC-2020-311

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified. In the sparse and ragged count weights a...

PYSEC-2020-119

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified. In the sparse and ragged count weights a...

PYSEC-2020-311

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified. In the sparse and ragged count weights a...

CVE-2020-15196

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified. In the sparse and ragged count weights a...

GHSA-PG59-2F92-5CPH Heap buffer overflow in Tensorflow

Impact The SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified:...

PT-2020-14267 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow version 2.3.0 Description: The SparseCountSparseOutput and RaggedCountSparseOutput implementations do not validate that the weights tensor has the same shape as the data. This can lead to a read from outside the bounds of the heap...