A method for detecting network attacks on web applications using a neural network based on LSTM is presented. The process of extracting the necessary information from traffic before submitting it to an artificial neural network (ANN) is presented. This process of preprocessing HTTP traffic allows you to select key fragments, which are subsequently vectorized for proper processing in the ANN. The ANN architecture is defined, including the necessary layers, for the multiclassification of HTTP traffic and the detection of network attacks on web applications.