| 2020-09-25 | CVE-2020-15213 | Allocation of Resources Without Limits or Throttling vulnerability in Google Tensorflow 2.2.0/2.3.0
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. | 4.0 |
| 2020-09-25 | CVE-2020-15212 | Out-of-bounds Write vulnerability in Google Tensorflow 2.2.0/2.3.0
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. | 8.6 |
| 2020-09-25 | CVE-2020-15211 | In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. | 4.8 |
| 2020-09-25 | CVE-2020-15210 | 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, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. | 6.5 |
| 2020-09-25 | CVE-2020-15209 | 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 | 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 | 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 | 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 |