CVE-2021-29590 — Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

Affected: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The implementations of the `Minimum` and `Maximum` TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting implementation(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.h#L52-L56) indexes in both tensors with the same index but does not validate that the index is within bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

GHSA-24x6-8c7m-hv3f — Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### Impact The implementations of the `Minimum` and `Maximum` TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty.

This is because [the broadcasting implementation](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.h#L52-L56) indexes in both tensors with the same index but does not validate that the index is within bounds:

```cc auto maxmin_func = [&](int indexes[N]) { output_data[SubscriptToIndex(output_desc, indexes)] = op(input1_data[SubscriptToIndex(desc1, indexes)], input2_data[SubscriptToIndex(desc2, indexes)]); }; ```

### Patches We have patched the issue in GitHub commit [953f28dca13c92839ba389c055587cfe6c723578](https://github.com/tensorflow/tensorflow/commit/953f28dca13c92839ba389c055587cfe6c723578).

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Most recent entries from all

CVE-2021-29590 — Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

GHSA-24x6-8c7m-hv3f — Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`