Heap OOB read in TFLite

Impact

A specially crafted TFLite model could trigger an OOB read on heap in the TFLite implementation of Split_V:

const int input_size = SizeOfDimension(input, axis_value);

If axis_value is not a value between 0 and NumDimensions(input), then the SizeOfDimension function will access data outside the bounds of the tensor shape array:

inline int SizeOfDimension(const TfLiteTensor* t, int dim) {
  return t->dims->data[dim];
}

Patches

We have patched the issue in GitHub commit ae2daeb45abfe2c6dda539cf8d0d6f653d3ef412.

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

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Attribution

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