PT-2026-59955

Impact The implementation of tf.raw ops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.raw ops.UnsortedSegmentJoin inputs=tf.constant"this", shape=12,...

PT-2026-59979

Impact The implementation of tf.raw ops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf a indices = tf.constant0, shape=17, 2, dtype=tf.int64 a values = tf.constant, shape=0, dtype=tf.float32 a shape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

PT-2026-59964

Impact The implementation of tf.raw ops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf indices = tf.constant53, shape=3, dtype=tf.int64 values =...

PT-2026-59971

Impact The implementation of tf.raw ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf ckpt path = tf.constant "/tmp/warm starting util...

PT-2026-59956

Impact The implementation of tf.raw ops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.strings.unsorted segment join inputs='123', segment ids=0, num...

PT-2026-59958

Impact The implementation of tf.raw ops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: python import tensorflow as tf input = tf.constant-3.5e+35, shape=10,19,22, dtype=tf.float32 block shape = tf.constant-1879048192, shape=2, dtype=tf.int...

PT-2026-59916

Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.raw ops.SobolSampledim=tf.constant1,0, num results=tf.constant1, skip=tf.constant1...

PT-2026-59868

Impact In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in mktemp and the actual creation of the file by a...

PT-2026-59938

Impact The implementation of tf.raw ops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf handle = tf.constant"", shape=0, dtype=tf.string tf.raw...

PT-2026-59846

Impact The implementation of AssignOp can result in copying unitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized to minimize number of allocations, but does not check that the right hand...

PT-2026-59709

Impact The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug: python import tensorflow as tf tf.raw ops.UnravelIndexindices=-0x100000,dims=0x100000,0x100000 Patches We have patched the issue in GitHub commit...

PT-2026-59723

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf tf.compat.v1.placeholder with...

PT-2026-59703

Impact The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel: library function signature name: "SomeOp" description:...

PT-2026-59729

Impact The implementation of tf.raw ops.Conv3DBackpropFilterV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.raw ops.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...

PT-2026-59731

Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.raw ops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...

PT-2026-59718

Impact An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. Patches We have patched the issue in GitHub commit 6364463d6f5b6254cac3d6aedf999b6a96225038...

PT-2026-59996

Impact The implementation of tf.histogram fixed width is vulnerable to a crash when the values array contain NaN elements: python import tensorflow as tf import numpy as np tf.histogram fixed widthvalues=np.nan, value range=1,2 The implementation assumes that all floating point operations are...

PT-2026-59973

Impact The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. Patches We have patched the issue in GitHub commit...

PT-2026-59930

Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor: python import tensorflow as tf tf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64 This i...

PT-2026-59950

Impact The implementation of tf.raw ops.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf handle = tf.constant"", shape=0, dtype=tf.string tf.raw...