Abstract: Systems, methods, and products for identifying IP mass hosts and determining whether they are good or bad. One embodiment is a method including selecting a first candidate IP address, identifying a set of domains hosted at the IP address, and identifying registrants of the domains. A number of unique ones of the registrants is determined and if the number of unique registrants exceeds a threshold number, the candidate IP address is deemed an IP mass host. Otherwise, the candidate IP address is deemed not to be an IP mass host. For an IP mass host, domains that have bad reputations are identified, and it is determined whether the bad domains comprise at least a threshold percentage of the total hosted domains. If the IP mass host has at least the threshold percentage of bad domains, the IP mass host is deemed a bad mass host.

Abstract: Systems, methods and products for identifying IP mass hosts and determining whether they are good or bad. One embodiment is a method including selecting a first candidate IP address, identifying a set of domains hosted at the IP address, and identifying registrants of the domains. A number of unique ones of the registrants is determined and if the number of unique registrants exceeds a threshold number, the candidate IP address is deemed an IP mass host. Otherwise, the candidate IP address is deemed not to be an IP mass host. For an IP mass host, domains that have bad reputations are identified, and it is determined whether the bad domains comprise at least a threshold percentage of the total hosted domains. If the IP mass host has at least the threshold percentage of bad domains, the IP mass host is deemed a bad mass host.

Abstract: Systems, methods and products for identifying IP mass hosts and determining whether they are good or bad. One embodiment is a method including selecting a first candidate IP address, identifying a set of domains hosted at the IP address, and identifying registrants of the domains. A number of unique ones of the registrants is determined and if the number of unique registrants exceeds a threshold number, the candidate IP address is deemed an IP mass host. Otherwise, the candidate IP address is deemed not to be an IP mass host. For an IP mass host, domains that have bad reputations are identified, and it is determined whether the bad domains comprise at least a threshold percentage of the total hosted domains. If the IP mass host has at least the threshold percentage of bad domains, the IP mass host is deemed a bad mass host.

Abstract: Systems, methods and products for determining the trustworthiness of anonymous sensors, including a sensor health check, a data ballpark check, a reputation comparison, and optional “last resort” procedures. The sensor health check examines sensor operating parameters to see if they fall within an envelope of expected values. If not, the sensor is unhealthy and is not trusted. The data ballpark check determines whether the sensor's traffic data falls within a predefined envelope of values. If the sensor is healthy and the traffic is within expected ranges, the sensor is trusted. If the traffic data is outside expected ranges, the reputation comparison, determines whether IP addresses, domains or other IOCs in the traffic data are found in the reputation list which may corroborate the traffic as trustworthy because it represents malicious or not-in-the-wild traffic. “Last resort” procedures may include applying safelists/blocklists, signature controls etc. to verify sensor/data trustworthiness.