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google tensorflow 2.3.0 vulnerabilities and exploits
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9.9
CVSSv3
CVE-2020-15196
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the spa...
Google Tensorflow 2.3.0
7.5
CVSSv3
CVE-2020-15206
In Tensorflow prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using ...
Google Tensorflow
Opensuse Leap 15.2
7.1
CVSSv3
CVE-2020-15193
In Tensorflow prior to 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users ...
Google Tensorflow 2.2.0
Google Tensorflow 2.3.0
Opensuse Leap 15.2
6.3
CVSSv3
CVE-2020-15197
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes it...
Google Tensorflow 2.3.0
6.1
CVSSv3
CVE-2019-11358
jQuery prior to 3.4.0, as used in Drupal, Backdrop CMS, and other products, mishandles jQuery.extend(true, {}, ...) because of Object.prototype pollution. If an unsanitized source object contained an enumerable __proto__ property, it could extend the native Object.prototype.
Jquery Jquery
Debian Debian Linux 8.0
Debian Debian Linux 9.0
Debian Debian Linux 10.0
Drupal Drupal
Backdropcms Backdrop
Fedoraproject Fedora 28
Fedoraproject Fedora 29
Fedoraproject Fedora 30
Opensuse Leap 15.1
Opensuse Backports Sle 15.0
Netapp Snapcenter -
Netapp Oncommand System Manager
Redhat Cloudforms 4.7
Redhat Virtualization Manager 4.3
Oracle Service Bus 12.1.3.0.0
Oracle Primavera Unifier 16.2
Oracle Jd Edwards Enterpriseone Tools 9.2
Oracle Weblogic Server 12.1.3.0.0
Oracle Service Bus 11.1.1.9.0
Oracle Jdeveloper 11.1.1.9.0
Oracle Primavera Unifier 16.1
150 Github repositories
5.9
CVSSv3
CVE-2020-15199
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initiali...
Google Tensorflow 2.3.0
5.9
CVSSv3
CVE-2020-15200
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tenso...
Google Tensorflow 2.3.0
5.3
CVSSv3
CVE-2020-15191
In Tensorflow prior to 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked....
Google Tensorflow 2.2.0
Google Tensorflow 2.3.0
Opensuse Leap 15.2
4.8
CVSSv3
CVE-2020-15201
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tenso...
Google Tensorflow 2.3.0
4.3
CVSSv3
CVE-2020-15192
In Tensorflow prior to 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the a...
Google Tensorflow 2.2.0
Google Tensorflow 2.3.0
Opensuse Leap 15.2
1 Github repository
CVSSv3
CVSSv2
CVSSv3
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