PT-2026-59789

Impact When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. python import tensorflow as tf arg 0=1 arg 1=1 arg 2=1 arg 3=1 arg 4=3, 3,3 arg 5='auto' arg 6=0 arg 7='' tf.raw ops.CollectiveGatherinput=arg 0, group...

PT-2026-59981

Impact When RangeSize receives values that do not fit into an int64 t, it crashes. cpp auto size = std::is integral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does n...

TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`

ImpactIf tf.sparse.cross receives an input separator that is not a scalar, it gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tftf.sparse.crossinputs=,name='a',separator=tf.constant'a', 'b',dtype=tf.string PatchesWe have patched the issue in...

TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite

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

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-2026-3134 Division by zero in Tensorflow

Impact The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0: python import tensorflow as tf import numpy as np tf.rawops.FractionalMaxPool value=tf.constantvalue=1, 4, 2, 3, dtype=tf.int64, poolingratio=1.0, 1.44, 1.73, 1.0, pseudorandom=False,...

PYSEC-2026-3160 Integer overflow in Tensorflow

Impact The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements: cc int64t OpLevelCostEstimator::CalculateTensorSize const OpInfo::TensorProperties&...

PYSEC-2026-3135 Null-dereference in Tensorflow

Impact The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer: cc const auto& initopsigit = metagraphdef.signaturedef.findkSavedModelInitOpSignatureKey; if initopsigit != sigdefmap.end initopname = initopsigit-second.outputs...

PYSEC-2026-3100 `CHECK`-failures in `TensorByteSize` in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. cc int64t TensorByteSizeconst TensorProto& t // numelements returns -1 if shape is not fully defined. int64t numelems = TensorShapet.tensorshape.numelements; retur...

PYSEC-2026-3158 Memory exhaustion in Tensorflow

Impact The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory: python import tensorflow as tf y = tf.rawops.ThreadPoolHandlenumthreads=0x60000000,displayname='tf' This is because the numthreads argument is only checked to not be...

Integer overflow in Tensorflow

ImpactThe implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. PatchesWe have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 merging 51733.The fix will be included in TensorFlo...

PYSEC-2026-3240 Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...

PYSEC-2026-3127 Out of bounds read and write in Tensorflow

Impact There is a typo in TensorFlow's SpecializeType which results in heap OOB read/write: cc for int i = 0; i argssize; j++ auto arg = t-mutableargsi; // ... Due to a typo, arg is initialized to the ith mutable argument in a loop where the loop index is j. Hence it is possible to assign to arg...

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...

PYSEC-2026-1956 TensorFlow has Null Pointer Error in SparseSparseMaximum

Impact When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. python import tensorflow as tf tf.rawops.SparseSparseMaximum aindices=1, avalues = 0.1 , ashape = 2, bindices=, bvalues =2 , bshape = 2, Patches We have patched the issue in GitHub commit...

TensorFlow has Null Pointer Error in TensorArrayConcatV2

ImpactWhen ctx-stepcontainter is a null ptr, the Lookup function will be executed with a null pointer.pythonimport tensorflow as tftf.rawops.TensorArrayConcatV2handle='a', 'b', flowin = 0.1, dtype=tf.int32, elementshapeexcept0=1 PatchesWe have patched the issue in GitHub commit...

TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

ImpactNPE in QuantizedMatMulWithBiasAndDequantize with MKL enable pythonimport tensorflow as tffunc = tf.rawops.QuantizedMatMulWithBiasAndDequantizepara='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4, dtype=tf.qint8, 'bias': 31.81644630432129, 47.21876525878906, 109.95201110839844,...

PYSEC-2026-956 TensorFlow has Floating Point Exception in TensorListSplit with XLA

Impact FPE in TensorListSplit with XLA python import tensorflow as tf func = tf.rawops.TensorListSplit para = 'tensor': 1, 'elementshape': -1, 'lengths': 0 @tf.functionjitcompile=True def fuzzjit: y = funcpara return y printfuzzjit Patches We have patched the issue in GitHub commit...

TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

ImpactOut of bounds read in GRUBlockCellGradpythonfunc = tf.rawops.GRUBlockCellGradpara = 'x': 21.1, 156.2, 83.3, 115.4, 'hprev': array136.5, 136.6, 'wru': array26.7, 0.8, 47.9, 26.1, 26.2, 26.3, 'wc': array 0.4, 31.5, 0.6, 'bru': array0.1, 0.2 , dtype=float32, 'bc': 0x41414141, 'r': array0.3, 0....

`tf.raw_ops.Mfcc` crashes

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