GHSA-GV26-JPJ9-C8GQ Incomplete validation in `SparseSparseMinimum`

Impact Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data: python import tensorflow as tf aindices = tf.ones45, 92, dtype=tf.int64 avalues = tf.ones45, dtype=tf.int64...

PYSEC-2021-279

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.rawops.MatrixDiagV. The implementation has incomplete validation that the value of k is a valid...

PYSEC-2021-769

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.rawops.MatrixSetDiagV. The implementation has incomplete validation that the value of k is a...

CVE-2021-37658

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.rawops.MatrixSetDiagV. The implementation has incomplete validation that the value of k is a...

PYSEC-2021-641

TensorFlow is an end-to-end open source platform for machine learning. The implementation of MatrixDiag operationshttps://github.com/tensorflow/tensorflow/blob/4c4f420e68f1cfaf8f4b6e8e3eb857e9e4c3ff33/tensorflow/core/kernels/linalg/matrixdiagop.ccL195-L197 does not validate that the tensor...

PYSEC-2021-220

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FusedBatchNorm is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The...

PYSEC-2020-121

In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed...

PYSEC-2020-278

In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed...