Speed was of the essence with this job, so cloud-based computing was the only way to achieve this speed. We used Tableau on Amazon Web Services (AWS) to visualise the dataset in this very tight timeframe resulting in visualisations that are available for both the public and organisations to use.
While reviewing different types of vulnerability scanning tools and services, it became very clear that testing such tools would require at least some known vulnerable applications to be configured. However, doing so may take up a considerable amount of time and effort. We decided to use a collection of pre-configured Docker containers and a Bash script to speed up this process.