Privilege assurance of enterprise computer network environments using attack path detection and prediction
A system and method for the privilege assurance of enterprise computer network environments using attack path detection and prediction. The system uses local session monitors to monitor logon sessions within a network, track session details, and log session and network host details. Cyber-physical graphs are produced and used to identify paths within the network based on the logged information, and to apply risk weighting to the identified paths and determine likely attack paths an attacker may use.
1. A system for privilege assurance of enterprise computer network environments using attack path detection and prediction, comprising:
a local session monitor comprising a first plurality of programming instructions stored in a memory of, and operating on a processor of, a first computing device within a computer network operating a directory access protocol, wherein the first plurality of programming instructions, when operating on the processor of the first computing device, cause the first computing device to:
receive a plurality of session-based details for an authentication session for a user;
log the plurality of session-based details;
retrieve a plurality of host details about the first computing device;
log the plurality of host details;
monitor activity of the authentication session;
generate an event log based on the monitored activity;
send the event log to a graph engine;
a graph engine comprising a second plurality of programming instructions stored in a memory of, and operating on a processor of, a second computing device, wherein the second plurality of programming instructions, when operating on the processor of the second computing device, cause the second computing device to:
receive the event log;
retrieve the logged session-based details and host details;
create and store a cyber-physical graph of the computer network using the event log and the logged session-based details and the logged host details, wherein the vertices or nodes of the cyber-physical graph represent directory access protocol objects and the edges of the cyber-physical graph represent the relationships between those objects;
perform a plurality of queries over time on the cyber-physical graph to identify paths between the nodes;
receive results of the plurality of queries; analyze the plurality of results to determine a plurality of risk attributes associated with each of a plurality of the nodes in the graph, the risk attributes for each node being based at least in part on a determined value of the node and the node's connectivity to other nodes within any identified paths; and
create and store an attack path map comprising a plurality of identified paths that each exceed a plurality of stored risk conditions.
2. The system of claim 1 , wherein the plurality of session-based details comprises information about a user's granted privilege levels.
3. The system of claim 1 , wherein the plurality of session-based details comprises historical user activity within the network.
4. The system of claim 1 , wherein the risk attributes further comprise a context-based risk attribute.
5. The system of claim 4 , wherein the context-based risk attribute for a node within an identified path is based on a plurality of risk attributes of other nodes within the identified path.
6. A method for privilege assurance of enterprise computer network environments using attack path detection and prediction, comprising the steps of:
receiving, by a first computing device within a computer network operating a directory access protocol, a plurality of session-based details for an authentication session for a user;
logging the plurality of session-based details;
retrieving a plurality of host details about the first computing device;
logging the plurality of host details;
monitoring activity of the authentication session;
generating an event log based on the monitored activity;
sending the event log to a graph engine operating in a second computing device;
creating and storing, using the graph engine, a cyber-physical graph of the computer network using the event log and the logged session-based details and the logged host details, wherein the vertices or nodes of the cyber-physical graph represent directory access protocol objects and the edges of the cyber-physical graph represent the relationships between those objects;
performing a plurality of queries over time on the cyber-physical graph to identify paths between the nodes;
receiving results of the plurality of queries;
analyzing the plurality of results to determine a plurality of risk attributes associated with each of a plurality of the nodes in the graph, the risk attributes for each node being based at least in part on a determined value of the node and the node's connectivity to other nodes within any identified paths; and
creating and storing an attack path map comprising a plurality of identified paths that each exceed a plurality of stored risk conditions.
7. The method of claim 6 , wherein the plurality of session-based details comprises information about a user's granted privilege levels.
8. The method of claim 6 , wherein the plurality of session-based details comprises historical user activity within the network.
9. The method of claim 6 , wherein the risk attributes further comprise a context-based risk attribute.
10. The method of claim 9 , wherein the context-based risk attribute for a node within an identified path is based on a plurality of risk attributes of other nodes within the identified path.