Vulnerabilities > Google > Tensorflow > Medium
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 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-2020-15211 | 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, 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 | 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-2020-15204 | 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-2020-15201 | 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 |
| 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 |