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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-2026-59702

Impact The implementation of AvgPoolGrad does not fully validate the input orig input shape. This results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 2, 2, 1 strides = 1, 2, 2, 1 padding = "VALID" data format = "NHWC" orig...

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

PT-2026-59705

Impact Inputs dense features or example state data not of rank 2 will trigger a CHECK fail in SdcaOptimizer. python import tensorflow as tf tf.raw ops.SdcaOptimizer sparse example indices=4 tf.random.uniform5,5,5,3, dtype=tf.dtypes.int64, maxval=100, sparse feature indices=4...

7.5CVSS6.9AI score0.00474EPSS
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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.•17 views

PT-2026-59749

Impact When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. cpp Status GraphDefImporter::ConvertNodeDefOpBuilder &builder, ConversionState &s, const NodeDef &node VLOG4 op def; else auto it = function op defs .findnode.op; if it == function op...

7.5CVSS7AI score0.00701EPSS
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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
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59736

Impact If tf.raw ops.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 = data structures.tf tensor list newelements = tf.constantvalue=3, 4, 5 b = np.zeros0...

7.5CVSS6.9AI score0.00473EPSS
SaveExploits1References8
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
SaveExploits1References8
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
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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
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 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...

7.5CVSS7AI score0.00531EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•31 views

PT-2026-59905

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,...

7.5CVSS6.9AI score0.00765EPSS
SaveExploits1References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•31 views

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,...

7.5CVSS6.9AI score0.00765EPSS
SaveExploits1References9
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