67 matches found
PT-2022-23064
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue arises when LowerBound or UpperBound is given an empty sorted inputs...
PYSEC-2021-298
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 tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
PYSEC-2021-589
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 tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
PYSEC-2021-787
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 tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
PYSEC-2021-298
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 tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
CVE-2021-37676
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 tf.rawops.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
CVE-2021-37651
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empt...
PYSEC-2021-758
TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, tf.rawops.SparseTensorSliceDataset implementation can be made to dereference a null pointer. The implementation has some argument validation but fails...
CVE-2021-37660
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing i...
GHSA-X8H6-XGQX-JQGP Undefined behavior and `CHECK`-fail in `FractionalMaxPoolGrad`
Impact The implementation of tf.rawops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty: python import tensorflow as tf originput = tf.constant2, 3, shape=1, 1, 1, 2, dtype=tf.int64 origoutput = tf.constant, dtype=tf.int64 outbackprop = tf.zeros2, 3, 6, 6,...
GHSA-828X-QC2P-WPRQ Undefined behavior in `MaxPool3DGradGrad`
Impact The implementation of tf.rawops.MaxPool3DGradGrad exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors: python import tensorflow as tf originput = tf.constant0.0, shape=1, 1, 1, 1, 1, dtype=tf.float32 origoutput = tf.constant0.0, shape=1, 1, 1,...
GHSA-4FG4-P75J-W5XJ Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`
Impact An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization: python import tensorflow as tf t = tf.constant1, shape=1, 1, 1, 1, dtype=tf.quint8 tmin = tf.constant, shape=0, dtype=tf.float32 tmax =...
PYSEC-2021-502
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPool3DGradGrad exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The...
PYSEC-2021-245
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty. The...
PYSEC-2021-700
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPool3DGradGrad exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The...
PYSEC-2021-475
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...
PYSEC-2021-695
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The...
PYSEC-2021-450
TensorFlow is an end-to-end open source platform for machine learning. The tf.rawops.Conv3DBackprop operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the...
PYSEC-2021-518
TensorFlow is an end-to-end open source platform for machine learning. The implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting...
PYSEC-2021-673
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in tf.rawops.QuantizedBatchNormWithGlobalNormalization. This is because the...