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-79FV-9865-4QCV Heap buffer overflow in `MaxPoolGrad`

Impact The implementation of tf.rawops.MaxPoolGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originput = tf.constant0.0, shape=1, 1, 1, 1, dtype=tf.float32 origoutput = tf.constant0.0, shape=1, 1, 1, 1, dtype=tf.float32 grad = tf.constant, shape=0, 0, 0, 0,...

Heap buffer overflow in `MaxPoolGrad`

Impact The implementation of tf.rawops.MaxPoolGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originput = tf.constant0.0, shape=1, 1, 1, 1, dtype=tf.float32 origoutput = tf.constant0.0, shape=1, 1, 1, 1, dtype=tf.float32 grad = tf.constant, shape=0, 0, 0, 0,...

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...

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...

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-7CQX-92HP-X6WH Heap buffer overflow in `MaxPool3DGradGrad`

Impact The implementation of tf.rawops.MaxPool3DGradGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf values = 0.01 11 originput = tf.constantvalues, shape=11, 1, 1, 1, 1, dtype=tf.float32 origoutput = tf.constant0.01, shape=1, 1, 1, 1, 1, dtype=tf.float32 grad =...

Heap buffer overflow in `MaxPool3DGradGrad`

Impact The implementation of tf.rawops.MaxPool3DGradGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf values = 0.01 11 originput = tf.constantvalues, shape=11, 1, 1, 1, 1, dtype=tf.float32 origoutput = tf.constant0.01, shape=1, 1, 1, 1, 1, dtype=tf.float32 grad =...

Overflow/denial of service in `tf.raw_ops.ReverseSequence`

Impact The implementation of tf.rawops.ReverseSequence allows for stack overflow and/or CHECK-fail based denial of service. python import tensorflow as tf input = tf.zeros1, 1, 1, dtype=tf.int32 seqlengths = tf.constant0, shape=1, dtype=tf.int32 tf.rawops.ReverseSequence input=input,...

GHSA-6QGM-FV6V-RFPV Overflow/denial of service in `tf.raw_ops.ReverseSequence`

Impact The implementation of tf.rawops.ReverseSequence allows for stack overflow and/or CHECK-fail based denial of service. python import tensorflow as tf input = tf.zeros1, 1, 1, dtype=tf.int32 seqlengths = tf.constant0, shape=1, dtype=tf.int32 tf.rawops.ReverseSequence input=input,...

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,...

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,...

Division by 0 in `MaxPoolGradWithArgmax`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax is vulnerable to a division by 0: python import tensorflow as tf input = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 grad = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 argmax = tf.constant, shape=0, dtype=tf.int64 ksize = 1, 1, ...

GHSA-9VPM-RCF4-9WQW Division by 0 in `MaxPoolGradWithArgmax`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax is vulnerable to a division by 0: python import tensorflow as tf input = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 grad = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 argmax = tf.constant, shape=0, dtype=tf.int64 ksize = 1, 1, ...

Reference binding to nullptr in `SdcaOptimizer`

Impact The implementation of tf.rawops.SdcaOptimizer triggers undefined behavior due to dereferencing a null pointer: python import tensorflow as tf sparseexampleindices = tf.constant0, dtype=tf.int64, tf.constant0, dtype=tf.int64 sparsefeatureindices = tf.constant, shape=0, 0, 0, 0,...

GHSA-5GQF-456P-4836 Reference binding to nullptr in `SdcaOptimizer`

Impact The implementation of tf.rawops.SdcaOptimizer triggers undefined behavior due to dereferencing a null pointer: python import tensorflow as tf sparseexampleindices = tf.constant0, dtype=tf.int64, tf.constant0, dtype=tf.int64 sparsefeatureindices = tf.constant, shape=0, 0, 0, 0,...

GHSA-WHR9-VFH2-7HM6 Memory corruption in `DrawBoundingBoxesV2`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs: python import tensorflow as tf images = tf.fill10, 96, 0, 1, 0. boxes = tf.fill10, 53, 0, 0. colors = tf.fill0, 1, 0...

Memory corruption in `DrawBoundingBoxesV2`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs: python import tensorflow as tf images = tf.fill10, 96, 0, 1, 0. boxes = tf.fill10, 53, 0, 0. colors = tf.fill0, 1, 0...

Heap out of bounds read in `MaxPoolGradWithArgmax`

Impact The implementation of tf.rawops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs: python import tensorflow as tf input = tf.constant10.0, 10.0, 10.0, shape=1, 1, 3, 1, dtype=tf.float32 grad = tf.constant10.0, 10.0,...