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osv_pysec
osv_pysec
•added 2026/07/07 11:45 a.m.•22 views

PYSEC-2026-1951 TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Impact python import os os.environ'TFENABLEONEDNNOPTS' = '0' import tensorflow as tf printtf.version with tf.device"CPU": ksize = 1, 40, 128, 1 strides = 1, 128, 128, 30 padding = "SAME" dataformat = "NHWC" originputshape = 11, 9, 78, 9 grad = tf.saturatecasttf.random.uniform16, 16, 16, 16,...

7.5CVSS6.7AI score0.00415EPSS
SaveExploits0References6
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•28 views

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

ImpactNPE in RandomShuffle with XLA enable pythonimport tensorflow as tffunc = tf.rawops.RandomShufflepara = 'value': 1e+20, 'seed': -4294967297, 'seed2': [email protected]=Truedef test: y = funcpara return ytest PatchesWe have patched the issue in GitHub commit...

7.5CVSS6.2AI score0.00394EPSS
SaveExploits0References6Affected Software1
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•22 views

TensorFlow has Floating Point Exception in TFLite in conv kernel

ImpactConstructing a tflite model with a paramater filterinputchannel of less than 1 gives a FPE. PatchesWe have patched the issue in GitHub commit 34f8368c535253f5c9cb3a303297743b62442aaa.The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1. For...

7.5CVSS6.4AI score0.00394EPSS
SaveExploits0References6Affected Software1
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•33 views

PYSEC-2026-971 Tensorflow vulnerable to Out-of-Bounds Read

Impact When the BaseCandidateSamplerOp function receives a value in trueclasses larger than rangemax, a heap oob vuln occurs. python tf.rawops.ThreadUnsafeUnigramCandidateSampler trueclasses=0x100000,1, numtrue = 2, numsampled = 2, unique = False, rangemax = 2, seed = 2, seed2 = 2 Patches We have...

6.8CVSS7.8AI score0.00427EPSS
SaveExploits1References7
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•42 views

PYSEC-2026-1000 `MirrorPadGrad` heap out of bounds read

Impact If MirrorPadGrad is given outsize input paddings, TensorFlow will give a heap OOB error. python import tensorflow as tf tf.rawops.MirrorPadGradinput=1, paddings=0x77f00000,0xa000000, mode = 'REFLECT' Patches We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec9...

4.8CVSS7.1AI score0.00494EPSS
SaveExploits1References7
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•26 views

Heap overflow in `QuantizeAndDequantizeV2`

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.pythonimport tensorflow as [email protected] test:...

9.1CVSS8AI score0.00439EPSS
SaveExploits0References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•20 views

PYSEC-2026-958 `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact If 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. python import numpy as np import tensorflow as tf a = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5 b = np.zeros0, 2, ...

4.8CVSS7AI score0.00493EPSS
SaveExploits1References7
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•27 views

PYSEC-2026-984 `FractionalMaxPoolGrad` Heap out of bounds read

Impact If FractionMaxPoolGrad is given outsize inputs rowpoolingsequence and colpoolingsequence, TensorFlow will crash. python import tensorflow as tf tf.rawops.FractionMaxPoolGrad originput = 1, 1, 1, 1, 1, origoutput = 1, 1, 1, outbackprop = 3, 3, 6, rowpoolingsequence = -0x4000000, 1, 1,...

4.8CVSS7.2AI score0.00494EPSS
SaveExploits1References7
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•20 views

`MirrorPadGrad` heap out of bounds read

ImpactIf MirrorPadGrad is given outsize input paddings, TensorFlow will give a heap OOB error.pythonimport tensorflow as tftf.rawops.MirrorPadGradinput=1, paddings=0x77f00000,0xa000000, mode = 'REFLECT' PatchesWe have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92.The...

7.5CVSS7.1AI score0.00494EPSS
SaveExploits1References7Affected Software1
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•30 views

`FractionalMaxPoolGrad` Heap out of bounds read

ImpactIf FractionMaxPoolGrad is given outsize inputs rowpoolingsequence and colpoolingsequence, TensorFlow will crash.pythonimport tensorflow as tftf.rawops.FractionMaxPoolGrad originput = 1, 1, 1, 1, 1, origoutput = 1, 1, 1, outbackprop = 3, 3, 6, rowpoolingsequence = -0x4000000, 1, 1,...

7.5CVSS7.1AI score0.00494EPSS
SaveExploits1References7Affected Software1
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•28 views

`CHECK` fail via inputs in `SparseFillEmptyRowsGrad`

ImpactIf SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash.pythonimport tensorflow as tftf.rawops.SparseFillEmptyRowsGrad reverseindexmap=, gradvalues=, name=None PatchesWe have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8.The fix will be included...

7.5CVSS7.1AI score0.00494EPSS
SaveExploits1References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•23 views

PYSEC-2026-1050 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...

5.5CVSS7.1AI score0.00451EPSS
SaveExploits1References7
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•29 views

`CHECK` fail in `BCast` overflow

ImpactIf BCast::ToShape is given input larger than an int32, it will crash, despite being supposed to handle up to an int64. An example can be seen in tf.experimental.numpy.outer by passing in large input to the input b.pythonimport tensorflow as tfvalue = tf.constantshape=2, 1024, 1024, 1024,...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits1References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•22 views

PYSEC-2026-1028 TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

Impact The implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf strides = 1, 1, 1, 1 padding = "SAME" usecudnnongpu = True explicitpaddings =...

5.9CVSS7AI score0.00462EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•21 views

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

ImpactIf LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfdepthradius = 1bias = 1.59018219alpha = 0.117728651beta = 0.404427052inputgrads = tf.random.uniformshape=4, 4, 4, 4...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•21 views

TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`

ImpactThe implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "VALID"dataformat = "NHWC"originputshape =...

7.5CVSS7.1AI score0.00478EPSS
SaveExploits0References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•19 views

PYSEC-2026-1041 TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`

Impact FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack: python import tensorflow as tf overlapping = True originput = tf.constant.453409232,...

5.9CVSS7.1AI score0.00478EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•24 views

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

ImpactWhen tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfa = tf.constant, shape=0, 1, 1, dtype=tf.float32tf.linalg.matrixranka=a PatchesWe have patched the issue in GitHub commi...

7.5CVSS7AI score0.00488EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/07 10:17 a.m.•28 views

TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`

ImpactWhen CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack.pythonimport tensorflow as tfarg0=1arg1=1arg2=1arg3=1arg4=3, 3,3arg5='auto'arg6=0arg7=''tf.rawops.CollectiveGatherinput=arg0, groupsize=arg1, groupkey=arg2,...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References7Affected Software1
osv_pysec
osv_pysec
•added 2026/07/07 10:17 a.m.•27 views

PYSEC-2026-1006 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

5.9CVSS7.2AI score0.00462EPSS
SaveExploits0References7
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