Vulnerabilities > Google > Tensorflow
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2020-09-25 | CVE-2020-15199 | Improper Input Validation vulnerability in Google Tensorflow 2.3.0 In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. | 5.9 |
| 2020-09-25 | CVE-2020-15198 | Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability in Google Tensorflow 2.3.0 In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. | 5.4 |
| 2020-09-25 | CVE-2020-15197 | Reachable Assertion vulnerability in Google Tensorflow 2.3.0 In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. | 6.3 |
| 2020-09-25 | CVE-2020-15196 | Out-of-bounds Read vulnerability in Google Tensorflow 2.3.0 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. | 9.9 |
| 2020-09-25 | CVE-2020-15195 | Out-of-bounds Write vulnerability in multiple products In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. | 8.8 |
| 2020-09-25 | CVE-2020-15194 | Reachable Assertion vulnerability in multiple products In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. | 5.3 |
| 2020-09-25 | CVE-2020-15193 | Use of Uninitialized Resource vulnerability in multiple products In Tensorflow before versions 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. | 7.1 |
| 2020-09-25 | CVE-2020-15192 | Improper Input Validation vulnerability in multiple products In Tensorflow before versions 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. | 4.3 |
| 2020-09-25 | CVE-2020-15191 | Unchecked Return Value vulnerability in multiple products In Tensorflow before versions 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. | 5.3 |
| 2020-09-25 | CVE-2020-15190 | NULL Pointer Dereference vulnerability in multiple products In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. | 5.3 |