Vulnerabilities > Google > Tensorflow > 1.7.0
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2021-05-14 | CVE-2021-29616 | NULL Pointer Dereference vulnerability in Google Tensorflow TensorFlow is an end-to-end open source platform for machine learning. | 4.6 |
| 2021-05-14 | CVE-2021-29617 | Improper Handling of Exceptional Conditions vulnerability in Google Tensorflow TensorFlow is an end-to-end open source platform for machine learning. | 2.1 |
| 2021-05-14 | CVE-2021-29618 | Improper Handling of Exceptional Conditions vulnerability in Google Tensorflow TensorFlow is an end-to-end open source platform for machine learning. | 2.1 |
| 2021-05-14 | CVE-2021-29619 | Improper Handling of Exceptional Conditions vulnerability in Google Tensorflow TensorFlow is an end-to-end open source platform for machine learning. | 2.1 |
| 2021-05-14 | CVE-2021-29554 | Divide By Zero vulnerability in Google Tensorflow TensorFlow is an end-to-end open source platform for machine learning. | 2.1 |
| 2020-12-10 | CVE-2020-26270 | Improper Input Validation vulnerability in Google Tensorflow In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. | 2.1 |
| 2020-12-10 | CVE-2020-26268 | Unspecified vulnerability in Google Tensorflow In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. | 3.6 |
| 2020-12-10 | CVE-2020-26267 | Out-of-bounds Read vulnerability in Google Tensorflow In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. | 4.3 |
| 2020-12-10 | CVE-2020-26266 | Use of Uninitialized Resource vulnerability in Google Tensorflow In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. | 4.6 |
| 2020-12-10 | CVE-2020-26271 | Out-of-bounds Read vulnerability in Google Tensorflow In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. | 2.1 |