Vulnerabilities > Google > Tensorflow
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2020-09-25 | CVE-2020-15209 | NULL Pointer Dereference vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. | 5.9 |
| 2020-09-25 | CVE-2020-15208 | Out-of-bounds Write vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. | 9.8 |
| 2020-09-25 | CVE-2020-15207 | Out-of-bounds Write vulnerability in multiple products In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. | 9.0 |
| 2020-09-25 | CVE-2020-15206 | Improper Input Validation vulnerability in multiple products In Tensorflow before versions 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. | 7.5 |
| 2020-09-25 | CVE-2020-15205 | 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 `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. | 9.8 |
| 2020-09-25 | CVE-2020-15204 | NULL Pointer Dereference vulnerability in multiple products In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. | 5.3 |
| 2020-09-25 | CVE-2020-15203 | Use of Externally-Controlled Format String vulnerability in multiple products In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. | 7.5 |
| 2020-09-25 | CVE-2020-15202 | In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. | 9.0 |
| 2020-09-25 | CVE-2020-15201 | Out-of-bounds Write vulnerability in Google Tensorflow 2.3.0 In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. | 4.8 |
| 2020-09-25 | CVE-2020-15200 | Out-of-bounds Write vulnerability in Google Tensorflow 2.3.0 In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. | 5.9 |