CVE-2021-37655

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.rawops.ResourceScatterUpdate. The implementation has an incomplete validation of the...

PT-2021-21771 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: An attacker can trigger a read from outside of bounds of heap allocated data by...

GHSA-6F89-8J54-29XF Heap buffer overflow in `FractionalAvgPoolGrad`

Impact The implementation of tf.rawops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputtensorshape = tf.constant1, 3, 2, 3, shape=4, dtype=tf.int64 outbackprop = tf.constant2, shape=1, 1, 1, 1, dtype=tf.int64 rowpoolingsequence = tf.constant1...

GHSA-V6R6-84GR-92RM Heap buffer overflow in `AvgPool3DGrad`

Impact The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputshape = tf.constant10, 6, 3, 7, 7, shape=5, dtype=tf.int32 grad = tf.constant0.01, 0, 0, shape=3, 1, 1, 1, 1, dtype=tf.float32 ksize = 1, 1, 1, 1, 1 strides = 1, 1...

GHSA-WCV5-QRJ6-9PFM Heap buffer overflow in `Conv3DBackprop*`

Impact Missing validation between arguments to tf.rawops.Conv3DBackprop operations can result in heap buffer overflows: python import tensorflow as tf inputsizes = tf.constant1, 1, 1, 1, 2, shape=5, dtype=tf.int32 filtertensor = tf.constant734.6274508233133, -10.0, -10.0, -10.0, -10.0, -10.0,...

PYSEC-2021-202

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of tf.rawops.SparseFillEmptyRows. This is because of missing...

PYSEC-2021-703

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow. The...

PYSEC-2021-205

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger undefined behavior by binding to null pointer in tf.rawops.ParameterizedTruncatedNormal. This is because the...

CVE-2021-29577

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow. The...

PYSEC-2020-274

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

PYSEC-2020-274

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

PYSEC-2020-309

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

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-2020-119

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-2020-309

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

PYSEC-2020-117

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

GHSA-JC87-6VPP-7FF3 Heap buffer overflow in Tensorflow

Impact 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 in parallel:...

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:...

GHSA-9MQP-7V2H-2382 Denial of Service in Tensorflow

Impact The SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparsefillemptyrowsop.ccL235-L241 Although reverseindexmapt and gradvaluest ar...

PT-2020-14269 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.3.1 Description: The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor, specifically that the indices tensor has the same shape as the values one. This...