A computer-implemented method for fuzzing a target software running on a computer. In the method: a target program is carried using first input data, memory context information of the target program's run is captured, a machine learning model is trained using the first input data and the memory context information as model input, a fuzzing input is generated based on an output of the machine learning model, the target program is tested using the fuzzing input.