CVE-2020-15210: In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor a

TensorFlow Lite (a machine learning framework for running AI models on mobile and embedded devices) versions before 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 has a vulnerability where using the same tensor (a multi-dimensional array of data) as both input and output in an operation can cause a segmentation fault (a crash where the program tries to access memory it shouldn't) or memory corruption (where data in memory gets corrupted). This happens because the code doesn't properly validate inputs when a tensor is used in this way.