CVE-2020-15192
If a user passes a list of strings to dlpack.to_dlpack
there is a memory leak
following an expected validation failure:
status->status = tensorflow::errors::InvalidArgument(
DataType_Name(static_cast<DataType>(data_type)),
" is not supported by dlpack");
The allocated memory is from:
auto* tf_dlm_tensor_ctx = new TfDlManagedTensorCtx(tensor_ref);
The issue occurs because the status
argument during validation failures is not
properly checked:
dlm_tensor->dl_tensor.data = TFE_TensorHandleDevicePointer(h, status);
dlm_tensor->dl_tensor.dtype = GetDlDataType(data_type, status);
Since each of the above methods can return an error status, the status
value
must be checked before continuing.
TensorFlow 2.2.0, 2.3.0.
We have patched the issue in 22e07fb204386768e5bcbea563641ea11f96ceb8 and will release a patch release for all affected versions.
We recommend users to upgrade to TensorFlow 2.2.1 or 2.3.1.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been discovered through a variant analysis of a vulnerability reported by members of the Aivul Team from Qihoo 360.