GHSA-rf3h-xgv5-2q39

Impact

The implementation of the DepthwiseConv TFLite operator is vulnerable to a division by zero error:

int num_input_channels = SizeOfDimension(input, 3);
TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0);

An attacker can craft a model such that input's fourth dimension would be 0.

Patches

We have patched the issue in GitHub commit cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0.

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.