Out of bounds read in Tensorflow

Impact

TensorFlow's type inference can cause a heap OOB read as the bounds checking is done in a DCHECK (which is a no-op during production):

if (node_t.type_id() != TFT_UNSET) {
  int ix = input_idx[i];
  DCHECK(ix < node_t.args_size())
      << "input " << i << " should have an output " << ix
      << " but instead only has " << node_t.args_size()
      << " outputs: " << node_t.DebugString();
  input_types.emplace_back(node_t.args(ix));
  // ...
}       

An attacker can control input_idx such that ix would be larger than the number of values in node_t.args.

Patches

We have patched the issue in GitHub commit c99d98cd189839dcf51aee94e7437b54b31f8abd.

The fix will be included in TensorFlow 2.8.0. This is the only affected version.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.