Abstract: Embodiments provide for maliciousness scores to be determined for IP addresses and/or network domains. For example, a request to evaluate malicious activity with respect to an IP address/network domain may be received. Multiple, and in some cases disparate, third-party systems may provide malicious activity information associated with the IP address and/or network domain. A feature set may be extracted from the malicious activity information and statistical values may be calculated from the extracted data and added to the feature set. The features set may be provided to a machine learning model as input and a maliciousness score/classification may be returned. A remedial action may be performed in accordance with the output of the machine learning model.

Abstract: Embodiments provide for maliciousness scores to be determined for IP addresses and/or network domains. For example, a request to evaluate malicious activity with respect to an IP address/network domain may be received. Multiple, and in some cases disparate, third-party systems may provide malicious activity information associated with the IP address and/or network domain. A feature set may be extracted from the malicious activity information and statistical values may be calculated from the extracted data and added to the feature set. The features set may be provided to a machine learning model as input and a maliciousness score/classification may be returned. A remedial action may be performed in accordance with the output of the machine learning model.

Abstract: Techniques described herein include systems and methods for categorizing and prioritizing indicators of compromise for a network of network resources. The indicators of compromise may lead to security threats from malicious entities. In embodiments, a service provider computer receives information identifying an indicator of compromise for a network resource of a network associated with an organization. The information may include an identification of a severity for the indicator of compromise that is provided by a reporting entity. A normalized severity for the indicator of compromise may be calculated based at least in part on a set of factors. A lifecycle to associate with the indicator of compromise may be determined based on the normalized severity for the indicator of compromise. A report identifying the indicator of compromise and the normalized severity for the indicator of compromise may be generated and transmitted to an indicator of compromise information sharing network.

Abstract: Techniques described herein include systems and methods for categorizing and prioritizing indicators of compromise for a network of network resources. The indicators of compromise may lead to security threats from malicious entities. In embodiments, a service provider computer receives information identifying an indicator of compromise for a network resource of a network associated with an organization. The information may include an identification of a severity for the indicator of compromise that is provided by a reporting entity. A normalized severity for the indicator of compromise may be calculated based at least in part on a set of factors. A lifecycle to associate with the indicator of compromise may be determined based on the normalized severity for the indicator of compromise. A report identifying the indicator of compromise and the normalized severity for the indicator of compromise may be generated and transmitted to an indicator of compromise information sharing network.

Abstract: Described are a secure geo-location obscurity network and ingress nodes, transit nodes and egress nodes used in such a network. In particular, a novel device is provided and comprises: a node for a network, the node comprising: a private portion for allowing high bandwidth secure private traffic to be received and transmitted by the node on a private pathway through the node; and a public portion for allowing low bandwidth secure public traffic to be received and transmitted by the node on a plurality of public pathways through the node.

Abstract: A method is provided for electronically masking the geographic location of a client device in a communication network comprising the following steps: (a) mapping a communication from a first diverter node at a first location to a second diverter node at a second location, and (b) causing the communication to appear as originating from a client device at the second location when the communication is received by a destination device, wherein the second location is different from the first location. Also provided is a device that may be used to implement such a method.