Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming GraphDef
before converting it to the MLIR-based dialect. If an attacker changes the SavedModel
format on disk to invalidate these assumptions and the GraphDef
is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
{ "cpes": [ "cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*" ], "severity": "High" }