A security vulnerability in Google TensorFlow, an end-to-end open source platform for machine learning from Google, stems from the use of uninitialized variables in the Grappler optimizer. If the train_nodes vector (obtained from the saved optimization model) does not contain Dequeue nodes, then dequeue_node will be unitized. No details of the vulnerability are currently available.