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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•23 views

PT-2026-59906

Impact When mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes. cpp StatusOr GraphDefImporter::ArgNumTypeconst NamedAttrList &attrs, const OpDef::ArgDef &arg def, SmallVectorImpl &types // Check whether a type list attribute is specified. if !arg def.type list attr.empty if...

7.5CVSS7AI score0.00717EPSS
SaveExploits0References10
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•14 views

PT-2026-59936

Impact Eig can be fed an incorrect Tout input, resulting in a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg 0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float32 arg 1=tf.complex128 arg 2=True arg 3='' tf.raw...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•11 views

PT-2026-59858

Impact In core/kernels/list kernels.cc's TensorListReserve, num elements is assumed to be a tensor of size 1. When a num elements of more than 1 element is provided, then tf.raw ops.TensorListReserve fails the CHECK EQ in CheckIsAlignedAndSingleElement. python import tensorflow as tf tf.raw...

7.5CVSS6.9AI score0.00701EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•20 views

PT-2026-59934

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...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59815

Impact The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. python import numpy as np import tensorflow as tf id is not scalar tf.raw ops.UnbatchGradoriginal input= tf.constant1,batch index=tf.constant0,0...

7.5CVSS6.9AI score0.00716EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•36 views

PT-2026-59740

Impact python import os os.environ'TF ENABLE ONEDNN OPTS' = '0' import tensorflow as tf printtf. version with tf.device"CPU": ksize = 1, 40, 128, 1 strides = 1, 128, 128, 30 padding = "SAME" data format = "NHWC" orig input shape = 11, 9, 78, 9 grad = tf.saturate casttf.random.uniform16, 16, 16, 1...

9.8CVSS6.6AI score0.00415EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•16 views

PT-2026-59969

Impact ParameterizedTruncatedNormal assumes shape is of type int32. A valid shape of type int64 results in a mismatched type CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf seed = 1618 seed2 = 0 shape = tf.random.uniformshape=3, minval=-10000,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 views

PT-2026-59836

Impact ParameterizedTruncatedNormal assumes shape is of type int32. A valid shape of type int64 results in a mismatched type CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf seed = 1618 seed2 = 0 shape = tf.random.uniformshape=3, minval=-10000,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•14 views

PT-2026-59995

Impact The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. python...

7.5CVSS7AI score0.00701EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59847

Impact When the parameter summarize of tf.raw ops.Print is zero, the new method SummarizeArray will reference to a nullptr, leading to a seg fault. python import tensorflow as tf tf.raw ops.Printinput = tf.constant1, 1, 1, 1,dtype=tf.int32, data = False, False, False, False, False, False, False,...

7.5CVSS6.6AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•11 views

PT-2026-59935

Impact Integer overflow occurs when 2^31 = num frames height width channels 2^32, for example Full HD screencast of at least 346 frames. python import urllib.request dat =...

7.5CVSS6.7AI score0.00308EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59983

Impact If ThreadUnsafeUnigramCandidateSampler is given input filterbank channel count greater than the allowed max size, TensorFlow will crash. python import tensorflow as tf tf.raw ops.Mfcc spectrogram = 1.38, 6.32, 5.75, 9.51, sample rate = 2, upper frequency limit = 5.0, lower frequency limit ...

7.5CVSS6.9AI score0.00474EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59944

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...

7.5CVSS6.6AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59988

Impact When TensorListScatter and TensorListScatterV2 receive an element shape of a rank greater than one, they give a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg 0=tf.random.uniformshape=2, 2, 2, dtype=tf.float16, maxval=None arg...

7.5CVSS6.9AI score0.00531EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•21 views

PT-2026-59750

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input orig input tensor shape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True orig input tensor...

7.5CVSS7AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•13 views

PT-2026-59902

Impact When running with XLA, tf.raw ops.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.raw ops.ParallelConcat para = 'shape': 0, 'values': 1 @tf.functionjit compile=True def test: ...

7.5CVSS6.6AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•11 views

PT-2026-59976

Impact When the parameter summarize of tf.raw ops.Print is zero, the new method SummarizeArray will reference to a nullptr, leading to a seg fault. python import tensorflow as tf tf.raw ops.Printinput = tf.constant1, 1, 1, 1,dtype=tf.int32, data = False, False, False, False, False, False, False,...

7.5CVSS6.6AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•21 views

PT-2026-59890

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

7.5CVSS6.9AI score0.00463EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59952

Impact When tf.quantization.fake quant with min max vars per channel gradient 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 arg 0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None arg...

7.5CVSS6.9AI score0.00462EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•16 views

PT-2026-59773

Impact When tf.linalg.matrix rank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf a = tf.constant, shape=0, 1, 1, dtype=tf.float32 tf.linalg.matrix ranka=a Patches We have patched the issue in GitH...

7.5CVSS6.9AI score0.00488EPSS
SaveExploits0References8
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