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

PT-2026-59960

Impact When DrawBoundingBoxes receives an input boxes that is not of dtype float, it gives 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=1, 3, 2, 3, shape=1, 3, 2, 3, dtype=tf.half arg...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•23 views

PT-2026-59897

Impact When ctx-step containter is a null ptr, the Lookup function will be executed with a null pointer. python import tensorflow as tf tf.raw ops.TensorArrayConcatV2handle='a', 'b', flow in = 0.1, dtype=tf.int32, element shape except0=1 Patches We have patched the issue in GitHub commit...

7.5CVSS6.2AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•27 views

PT-2026-59980

Impact If the stride and window size are not positive for tf.raw ops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjit compile=True def test: y = tf.raw ops.AvgPoolGradorig input shape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...

7.5CVSS6.2AI score0.00394EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•36 views

PT-2026-59872

Impact The implementation of AvgPool3DGradOp does not fully validate the input orig input 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 ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 paddin...

7.5CVSS7.1AI score0.00462EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•31 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...

9.8CVSS8.3AI score0.00658EPSS
SaveExploits1References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•56 views

PT-2026-59924

Impact The 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. Patches We have patched the issue in GitHub commit...

9.1CVSS8.1AI score0.00492EPSS
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attackerkb
attackerkb
•added 2026/07/13 12:00 a.m.•20 views

CVE-2026-51540

OpENer 2.3.0 master branch up to commit 76b95cf is vulnerable to a severe memory corruption issue caused by an integer underflow in the processing of connected explicit messages SendUnitData...

5.9AI score0.00566EPSS
SaveExploits1References3
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59945

Impact array ops.upper bound causes a segfault when not given a rank 2 tensor. Patches We have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586. The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. For more information...

7.5CVSS5.7AI score0.00432EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•34 views

PT-2026-59965

Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

7.5CVSS7.1AI score0.00721EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•23 views

PT-2026-59865

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 orig input = tf.constant.453409232,...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59852

Impact If the stride and window size are not positive for tf.raw ops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjit compile=True def test: y = tf.raw ops.AvgPoolGradorig input shape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...

7.5CVSS6.2AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 views

PT-2026-59918

Impact If QuantizeAndDequantizeV3 is given a nonscalar num bits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf signed input = True range given = False narrow range = False axis = -1 input = tf.constant-3.5, shape=1,...

7.5CVSS7AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•21 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...

7.5CVSS7.2AI score0.00701EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 views

PT-2026-59919

Impact If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf num bits = 8 narrow range = False inputs = tf.constant0, shape=2,3, dtype=tf.float32 min = tf.constant...

7.5CVSS7.1AI score0.00462EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•54 views

PT-2026-59121

There exists a use after free vulnerability in Reverb. Reverb supports the VARIANT datatype, which is supposed to represent an arbitrary object in C++. When a tensor proto of type VARIANT is unpacked, memory is first allocated to store the entire tensor, and a ctor is called on each instance...

7.8CVSS6.4AI score0.00123EPSS
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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•34 views

PT-2026-59187

Impact This is a stored Cross-Site Scripting XSS vulnerability affecting the website and author comment fields. The website field was HTML-escaped using quote=False, which left single and double quotes unescaped. Since the frontend inserts the website value directly into a single-quoted href...

6.1CVSS6.2AI score0.00424EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 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':...

7.5CVSS7.2AI score0.00387EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•22 views

PT-2026-59874

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...

7.5CVSS7.2AI score0.00701EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•26 views

PT-2026-59989

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 orig input = tf.constant.453409232,...

7.5CVSS7.2AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59822

Impact When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np input = np.ones1, 1, 1, 1 ksize = 1, 1, 2, ...

7.5CVSS7.1AI score0.00478EPSS
SaveExploits0References8
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