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osv_pysec
osv_pysec
•added 2026/07/09 4:49 p.m.•24 views

PYSEC-2026-3365 Missing validation results in undefined behavior in `SparseTensorDenseAdd

Impact The implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf aindices = tf.constant0, shape=17, 2, dtype=tf.int64 avalues = tf.constant, shape=0, dtype=tf.float32 ashape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

5.5CVSS5.8AI score0.00364EPSS
SaveExploits1References11
osv_pysec
osv_pysec
•added 2026/07/09 4:49 p.m.•19 views

PYSEC-2026-3224 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

5.5CVSS5.8AI score0.00341EPSS
SaveExploits1References11
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•26 views

Missing validation results in undefined behavior in `QuantizedConv2D`

ImpactThe implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments:pythonimport tensorflow as tfinput = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad argsmininput = tf.constant, shape=0,...

5.5CVSS5.8AI score0.00341EPSS
SaveExploits1References11Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•27 views

Missing validation results in undefined behavior in `SparseTensorDenseAdd

ImpactThe implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments:pythonimport tensorflow as tfaindices = tf.constant0, shape=17, 2, dtype=tf.int64avalues = tf.constant, shape=0, dtype=tf.float32ashape = tf.constant6, 12, shape=2, dtype=tf.int64b =...

5.5CVSS5.8AI score0.00364EPSS
SaveExploits1References11Affected Software1
osv_pysec
osv_pysec
•added 2026/07/09 4:49 p.m.•16 views

PYSEC-2026-3235 Missing validation results in undefined behavior in `SparseTensorDenseAdd

Impact The implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf aindices = tf.constant0, shape=17, 2, dtype=tf.int64 avalues = tf.constant, shape=0, dtype=tf.float32 ashape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

5.5CVSS5.8AI score0.00364EPSS
SaveExploits1References11
osv_pysec
osv_pysec
•added 2026/07/09 4:49 p.m.•13 views

PYSEC-2026-3232 Integer overflow in Tensorflow

Impact The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. Patches We have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 merging 51733. The fix will be included in...

7.6CVSS7.3AI score0.00583EPSS
SaveExploits0References10
osv_pysec
osv_pysec
•added 2026/07/09 4:49 p.m.•24 views

PYSEC-2026-3223 Undefined behavior in `SparseTensorSliceDataset`

Impact The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value: python import tensorflow as tf import numpy as np tf.rawops.SparseTensorSliceDataset indices=, values=, denseshape=1,1 The 3 input arguments...

7.6CVSS6.3AI score0.00752EPSS
SaveExploits1References9
osv_pysec
osv_pysec
•added 2026/07/09 4:49 p.m.•30 views

PYSEC-2026-3094 Null pointer dereference in TensorFlow

Impact The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. python import tensorflow as tf tf.rawops.QuantizedMaxPool input = tf.constant4, dtype=tf.quint8, mininput = , maxinput = 1, ksize = 1, 1, 1, 1,...

7.1CVSS6.2AI score0.00789EPSS
SaveExploits1References9
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•6 views

PT-2026-59840

Impact The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value: python import tensorflow as tf import numpy as np tf.raw ops.SparseTensorSliceDataset indices=, values=, dense shape=1,1 The 3 input arguments...

7.6CVSS6.3AI score0.00752EPSS
SaveExploits1References10
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•5 views

PT-2026-59979

Impact The implementation of tf.raw ops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf a indices = tf.constant0, shape=17, 2, dtype=tf.int64 a values = tf.constant, shape=0, dtype=tf.float32 a shape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

5.5CVSS5.8AI score0.00364EPSS
SaveExploits1References12
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•3 views

PT-2026-59851

Impact The implementation of tf.raw ops.SparseTensorDenseAdd does not fully validate the input arguments: python import tensorflow as tf a indices = tf.constant0, shape=17, 2, dtype=tf.int64 a values = tf.constant, shape=0, dtype=tf.float32 a shape = tf.constant6, 12, shape=2, dtype=tf.int64 b =...

5.5CVSS5.8AI score0.00364EPSS
SaveExploits1References12
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•4 views

PT-2026-59846

Impact The implementation of AssignOp can result in copying unitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized to minimize number of allocations, but does not check that the right hand...

8.8CVSS7.6AI score0.00761EPSS
SaveExploits1References10
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•7 views

PT-2026-59895

Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.raw ops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...

5.5CVSS5.5AI score0.00325EPSS
SaveExploits1References12
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•5 views

PT-2026-59731

Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.raw ops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...

5.5CVSS5.5AI score0.00325EPSS
SaveExploits1References12
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•6 views

PT-2026-59848

Impact The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. Patches We have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 merging 51733. The fix will be included in...

8.8CVSS7.4AI score0.00583EPSS
SaveExploits0References11
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•5 views

PT-2026-59754

Impact Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. Patches We have patched the issue in GitHub commi...

9.8CVSS8.2AI score0.00896EPSS
SaveExploits1References10
Positive Technologies
Positive Technologies
•added 2026/07/09 12:00 a.m.•7 views

PT-2026-59713

Impact The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. python import tensorflow as tf tf.raw ops.QuantizedMaxPool input = tf.constant4, dtype=tf.quint8, min input = , max input = 1, ksize = 1, 1, 1, 1,...

6.5CVSS6.2AI score0.00789EPSS
SaveExploits1References10
osv_ubuntu
osv_ubuntu
•added 2026/07/07 9:17 p.m.•34 views

UBUNTU-CVE-2026-58470

GNU Wget through 1.25.0, fixed in commit 43d3ba9, contains an integer overflow vulnerability in the parsecontentrange function within src/http.c that allows server-controlled values to cause signed integer arithmetic to overflow. Attackers can supply malicious Content-Range header values to trigg...

6.9CVSS7.8AI score0.00247EPSS
SaveExploits0References3
EUVD
EUVD
•added 2026/07/07 7:45 p.m.•24 views

EUVD-2026-42082

GNU Wget through 1.25.0, fixed in commit 43d3ba9, contains an integer overflow vulnerability in the parsecontentrange function within src/http.c that allows server-controlled values to cause signed integer arithmetic to overflow. Attackers can supply malicious Content-Range header values to trigg...

6.9CVSS7.8AI score0.00247EPSS
SaveExploits0References2
Vulnrichment
Vulnrichment
•added 2026/07/07 7:45 p.m.•16 views

CVE-2026-58470 GNU Wget 1.25.0 Integer Overflow via Content-Range Header Parsing

GNU Wget through 1.25.0, fixed in commit 43d3ba9, contains an integer overflow vulnerability in the parsecontentrange function within src/http.c that allows server-controlled values to cause signed integer arithmetic to overflow. Attackers can supply malicious Content-Range header values to trigg...

6.9CVSS7.8AI score0.00247EPSS
SaveExploits0References2
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