Web API Blocking

The aim of this work is to obtain the web APIs used in the top 1 000 000 pages of the Tranco ranking along with their subpages using the Web API Manager extension, then analyze and categorize the obtained data. Design a mechanism for the JShelter extension supporting blocking of individual web APIs that have been evaluated as tracking or advertising, implement the solution and then test it. In total, 2 973 276 web pages were analyzed. The captured data was aggregated with respect to web API insecurity, analyzed and the results described in the paper, with some API calls being blocked up to 93.33 % of the time. I was able to develop a method for identifying problematic APIs. Using polynomial regression, I found polynomials that describe the blocking behavior towards individual web APIs and their methods. I implemented the blocking functionality in the JShelter extension and successfully tested the solution