PYSEC-2026-3323 Heap overflow in `QuantizeAndDequantizeV2`

Impact The function MakeGrapplerFunctionItem 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 or a crash is triggered. python import tensorflow as tf @tf.function def test:...

PYSEC-2026-3368 Segfault in `CompositeTensorVariantToComponents`

Impact An input encoded that is not a valid CompositeTensorVariant tensor will trigger a segfault in tf.rawops.CompositeTensorVariantToComponents. python import tensorflow as tf encode = tf.rawops.EmptyTensorListelementdtype=tf.int32, elementshape=10, 15, maxnumelements=2 meta= ""...

`CHECK_EQ` fail via input in `SparseMatrixNNZ`

ImpactAn input sparsematrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.rawops.SparseMatrixNNZ.pythonimport tensorflow as tftf.rawops.SparseMatrixNNZsparsematrix= PatchesWe have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693.The fix...

PYSEC-2026-3383 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess

Impact An input poolingratio that is smaller than 1 will trigger a heap OOB in tf.rawops.FractionalMaxPool and tf.rawops.FractionalAvgPool. Patches We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cher...

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

ImpactIf tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.pythonimport numpy as npimport tensorflow as tfa = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5b = np.zeros0, 2, 3,...

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

ImpactIf tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.pythonimport numpy as npimport tensorflow as tfa = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5b = np.zeros0, 2, 3,...

Segfault in `tf.raw_ops.TensorListConcat`

ImpactIf tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

Segfault in `tf.raw_ops.TensorListConcat`

ImpactIf tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

FPE in `tf.image.generate_bounding_box_proposals`

ImpactWhen running on GPU, tf.image.generateboundingboxproposals receives a scores input that must be of rank 4 but is not checked.pythonimport tensorflow as tfa = tf.constantvalue=1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0b =...

Segfault via invalid attributes in `pywrap_tfe_src.cc`

ImpactIf a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extractvolumepatches by passing in quantized tensors as input ksizes.pythonimport numpy as npimport...

PYSEC-2026-3384 Segfault via invalid attributes in `pywrap_tfe_src.cc`

Impact If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extractvolumepatches by passing in quantized tensors as input ksizes. python import numpy as np import...

PYSEC-2026-3105 Overflow in `ImageProjectiveTransformV2`

Impact When tf.rawops.ImageProjectiveTransformV2 is given a large output shape, it overflows. python import tensorflow as tf interpolation = "BILINEAR" fillmode = "REFLECT" images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32 transforms = tf.constant0.378575385, shape=2,8,...

PYSEC-2026-3208 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf inputval =...

PT-2026-59806

Impact NPE in RandomShuffle with XLA enable python import tensorflow as tf func = tf.raw ops.RandomShuffle para = 'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649 @tf.functionjit compile=True def test: y = funcpara return y test Patches We have patched the issue in GitHub commit...

PT-2026-59743

Impact When tf.raw ops.FusedResizeAndPadConv2D is given a large tensor shape, it overflows. python import tensorflow as tf mode = "REFLECT" strides = 1, 1, 1, 1 padding = "SAME" resize align corners = False input = tf.constant147, shape=3,3,1,1, dtype=tf.float16 size =...

PT-2026-59877

Impact If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract volume patches by passing in quantized tensors as input ksizes. python import numpy as np import...

PT-2026-59710

Impact When tf.raw ops.ResizeNearestNeighborGrad is given a large size input, it overflows. import tensorflow as tf align corners = True half pixel centers = False grads = tf.constant1, shape=1,8,16,3, dtype=tf.float16 size = tf.constant1879048192,1879048192, shape=2, dtype=tf.int32 tf.raw...

PT-2026-59705

Impact Inputs dense features or example state data not of rank 2 will trigger a CHECK fail in SdcaOptimizer. python import tensorflow as tf tf.raw ops.SdcaOptimizer sparse example indices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparse feature indices=4...

PT-2026-59911

Impact tf.keras.losses.poisson receives a y pred and y true that are passed through functor::mul in BinaryOp. If the resulting dimensions overflow an int32, TensorFlow will crash due to a size mismatch during broadcast assignment. python import numpy as np import tensorflow as tf true value =...

PT-2026-59866

Impact tf.raw ops.DynamicStitch specifies input sizes when it is registered. cpp REGISTER OP"DynamicStitch" .Input"indices: N int32" .Input"data: N T" .Output"merged: T" .Attr"N : int = 1" .Attr"T : type" .SetShapeFnDynamicStitchShapeFunction; When it receives a differing number of inputs, such a...