Abstract
The problem of automatic requests classification, as well as the problem of determining the routing rules for the requests on the server side, is directly connected with analysis of the user interface of dynamic web pages. This problem can be solved at the browser level, since it contains complete information about possible requests arising from interaction interaction between the user and the web application. In this paper, in order to extract the classification features, using data from the request execution context in the web client is suggested. A request context or a request trace is a collection of additional identification data that can be obtained by observing the web page JavaScript code execution or the user interface elements changes as a result of the interface elements activation. Such data, for example, include the position and the style of the element that caused the client request, the JavaScript function call stack, and the changes in the page's DOM tree after the request was initialized. In this study the implementation of the Chrome Developer Tools Protocol is used to solve the problem at the browser level and to automate the request trace selection.
Highlights
The problem of classifying the requests from a web application client to a server and correlating them with application functions most often arises while analyzing applications using the black box method [1]
To make sensible decisions in the navigation process, it is necessary to determine the results of triggering an action in the web interface: what HTTP request will be sent to the server, which function of the application will be executed, and how the state of the web application will change
Since modern web interfaces are built with HTML and JavaScript technologies, the problem of navigating the application is reduced to analyzing the web interface (DOM and its visual presentation) and Javascript code
Summary
The problem of classifying the requests from a web application client to a server and correlating them with application functions most often arises while analyzing applications using the black box method [1]. The structure of the application, its functions, input parameters, and types of requests are investigated To collect this information, it is required to solve the problem of navigating the web application interface [2] – to find control elements automatically and activate them in order to cause client-server interaction. Since modern web interfaces are built with HTML and JavaScript technologies, the problem of navigating the application is reduced to analyzing the web interface (DOM and its visual presentation) and Javascript code The latter implements the logic for the user and the server interaction: it processes user actions in the web interface, sends requests to the server and displays the results of their execution.
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