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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59931

Impact version:2.11.0 //core/ops/audio ops.cc:70 Status SpectrogramShapeFnInferenceContext c ShapeHandle input; TF RETURN IF ERRORc-WithRankc-input0, 2, &input; int32 t window size; TF RETURN IF ERRORc-GetAttr"window size", &window size; int32 t stride; TF RETURN IF ERRORc-GetAttr"stride", &strid...

7.5CVSS6.6AI score0.00387EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•22 views

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 ...

7.5CVSS6.9AI score0.00355EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•30 views

PT-2026-59951

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
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•14 views

PT-2026-59999

Improper buffer restrictions in the IntelR Optimization for Tensorflow software before version 2.12 may allow an authenticated user to potentially enable escalation of privilege via local access...

7.8CVSS7AI score0.0016EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•20 views

PT-2026-59984

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
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•14 views

PT-2026-59998

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...

7.5CVSS7AI score0.00435EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•20 views

PT-2026-59991

Impact DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf binary output = True input =...

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

PT-2026-59986

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min features or max features, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 min...

7.5CVSS6.9AI score0.0051EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•20 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
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•28 views

PT-2026-59997

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

9.8CVSS8.1AI score0.00631EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59735

Impact If tf.raw ops.TensorListConcat is given element shape=, it results segmentation fault which can be used to trigger a denial of service attack. python import tensorflow as tf tf.raw ops.TensorListConcat input handle=tf.data.experimental.to varianttf.data.Dataset.from tensor slices1, 2, 3,...

7.5CVSS6.9AI score0.00463EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59753

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 =...

7.5CVSS7AI score0.00474EPSS
SaveExploits1References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•33 views

PT-2026-59748

Impact When running with XLA, tf.raw ops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.raw ops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjit compile=True d...

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

PT-2026-59747

Impact TFversion 2.11.0 //tensorflow/core/ops/array ops.cc:1067 const Tensor hypothesis shape t = c-input tensor2; std::vector dimshypothesis shape t-NumElements - 1; for int i = 0; i MakeDimstd::maxh valuesi, t valuesi; if hypothesis shape t is empty, hypothesis shape t-NumElements - 1 will be...

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

PT-2026-59738

Impact Out of bounds read in GRUBlockCellGrad python func = tf.raw ops.GRUBlockCellGrad para = 'x': 21.1, 156.2, 83.3, 115.4, 'h prev': array136.5, 136.6, 'w ru': array26.7, 0.8, 47.9, 26.1, 26.2, 26.3, 'w c': array 0.4, 31.5, 0.6, 'b ru': array0.1, 0.2 , dtype=float32, 'b c': 0x41414141, 'r':...

7.5CVSS6.9AI score0.00387EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59742

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...

7.5CVSS7.1AI score0.00473EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•38 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
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 views

PT-2026-59741

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.•17 views

PT-2026-59725

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...

7.5CVSS6.6AI score0.00443EPSS
SaveExploits1References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•13 views

PT-2026-59183

Improper buffer restrictions in the IntelR Optimization for Tensorflow software before version 2.12 may allow an authenticated user to potentially enable escalation of privilege via local access...

7.8CVSS7AI score0.0016EPSS
SaveExploits0References5
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