Risk management is central to modern operational cybersecurity practice. DomainTools currently uses a proprietary machine learning model to compute risk scores for effective 2nd-level domains. This comparative case study looks at risk scores for domains whose names begin with a digit, aggregating and visualizing those risk scores on an autonomous system-by-autonomous system basis using violin plots. ASN-by-ASN subscore visualizations are also provided to help the reader understand the security dimensions that may be driving the overall risk score.
