Network threat prediction and blocking
A firewall monitors network activity and stores information about that network activity in a network activity log. The network activity is analyzed to identify a potential threat. The potential threat is further analyzed to identify other potential threats that are related to the potential threat, and are likely to pose a future risk to a protected network. A block list is updated to include the potential threat and the other potential threats to protect the protected network from the potential threat and the other potential threats.
1. A method for network threat prediction and blocking, comprising:
receiving, at a network threat prediction server, a network activity log from a firewall device, the network activity log documenting network activity over a network;
processing the network activity log to identify a network activity item from the received network activity log, the network activity item associated with the network activity over the network;
sending the network activity item to a network reputation and relationship tracking server;
searching, at the network reputation and relationship tracking server, reputation data and determining whether the network activity item has a known reputation;
if the network activity item has a known reputation, sending the known reputation to the network threat prediction server;
if the network activity item has no known reputation, determining a reputation for the network activity item, and returning the reputation to the network threat prediction server;
determining that the reputation of the network activity item is malicious and generating a threat vector for the network activity item;
generating block list data for the threat vector; and
sending the block list data to the firewall device.
2. The method of claim 1 , wherein the network activity item comprises an online element, the searching comprises searching reputation data and determining whether the online element has a known reputation, determining a reputation for the network activity item comprises determining a reputation for the online element, and determining that the reputation of the network activity item is malicious comprises determining that the reputation of the online element is malicious.
3. The method of claim 2 , wherein the threat vector is an original threat vector, further comprising:
at the network threat prediction server, sending a request for relationship data related to the original threat vector to the network reputation and relationship tracking server, the request including the threat vector;
determining that the original threat vector has known relationships to other online elements and sending the related online elements to the network threat prediction server;
generating a threat vector for each of the related online elements; and
updating the block list data to include each of the related online element threat vectors.
4. The method of claim 3 , wherein the other online elements are directly related at one degree of separation to the original threat vector.
5. The method of claim 3 , further comprising:
at the firewall device, receiving the block list data and incorporating the block list data into a network block list; and
operating to block network activity based on the block list thereby blocking malicious network activity.
6. The method of claim 1 , wherein the firewall device collects data regarding network activity and records the data in the network activity log.
7. The method of claim 1 , wherein determining a reputation for the network activity item comprises conducting an investigation to evaluate the reputation of the network activity item including classifying whether the network activity item is malicious or non-malicious.
8. A system comprising:
at least one processor; and
memory coupled to the at least one processor, the memory comprising computer executable instructions that, when executed by the at least one processor, performs a method for network threat prediction and blocking, the method comprising:
receiving, at a network threat prediction server, a network activity log from a firewall device, the network activity log documenting network activity over a network;
processing the network activity log to identify a network activity item from the received network activity log, the network activity item associated with the network activity over the network;
sending the network activity item to a network reputation and relationship tracking server;
searching, at the network reputation and relationship tracking server, reputation data and determining whether the network activity item has a known reputation;
if the network activity item has a known reputation, sending the known reputation to the network threat prediction server;
if the network activity item has no known reputation, determining a reputation for the network activity item, and returning the reputation to the network threat prediction server;
determining that the reputation of the network activity item is malicious and generating a threat vector for the network activity item;
generating block list data for the threat vector; and
sending the block list data to the firewall device.
9. The system of claim 8 , wherein the network activity item comprises an online element, the searching comprises searching reputation data and determining whether the online element has a known reputation, determining a reputation for the network activity item comprises determining a reputation for the online element, and determining that the reputation of the network activity item is malicious comprises determining that the reputation of the online element is malicious.
10. The system of claim 9 , wherein the threat vector is an original threat vector, further comprising:
at the network threat prediction server, sending a request for relationship data related to the original threat vector to the network reputation and relationship tracking server, the request including the threat vector;
determining that the original threat vector has known relationships to other online elements and sending the related online elements to the network threat prediction server;
generating a threat vector for each of the related online elements; and
updating the block list data to include each of the related online element threat vectors.
11. The system of claim 10 , wherein the other online elements are directly related at one degree of separation to the original threat vector.
12. The system of claim 10 , further comprising:
at the firewall device, receiving the block list data and incorporating the block list data into a network block list; and
operating to block network activity based on the block list thereby blocking malicious network activity.
13. The system of claim 8 , wherein the firewall device collects data regarding network activity and records the data in the network activity log.
14. The method of claim 8 , wherein determining a reputation for the network activity item comprises conducting an investigation to evaluate the reputation of the network activity item including classifying whether the network activity item is malicious or non-malicious.
15. A computer program product comprising a non-transitory computer readable medium storing instructions executable by a processor to perform a set of operations for network threat prediction and blocking, the set of operations comprising:
receiving, at a network threat prediction server, a network activity log from a firewall device, the network activity log documenting network activity over a network;
processing the network activity log to identify a network activity item from the received network activity log, the network activity item associated with the network activity over the network;
sending the network activity item to a network reputation and relationship tracking server;
searching, at the network reputation and relationship tracking server, reputation data and determining whether the network activity item has a known reputation;
if the network activity item has a known reputation, sending the known reputation to the network threat prediction server;
if the network activity item has no known reputation, determining a reputation for the network activity item, and returning the reputation to the network threat prediction server;
determining that the reputation of the network activity item is malicious and generating a threat vector for the network activity item;
generating block list data for the threat vector; and
sending the block list data to the firewall device.
16. The computer program product of claim 15 , wherein the network activity item comprises an online element, the searching comprises searching reputation data and determining whether the online element has a known reputation, determining a reputation for the network activity item comprises determining a reputation for the online element, and determining that the reputation of the network activity item is malicious comprises determining that the reputation of the online element is malicious.
17. The computer program product of claim 16 , wherein the threat vector is an original threat vector, further comprising:
at the network threat prediction server, sending a request for relationship data related to the original threat vector to the network reputation and relationship tracking server, the request including the threat vector;
determining that the original threat vector has known relationships to other online elements and sending the related online elements to the network threat prediction server;
generating a threat vector for each of the related online elements; and
updating the block list data to include each of the related online element threat vectors.
18. The computer program product of claim 17 , further comprising:
at the firewall device, receiving the block list data and incorporating the block list data into a network block list; and
operating to block network activity based on the block list thereby blocking malicious network activity.
19. The computer program product of claim 15 , wherein the firewall device collects data regarding network activity and records the data in the network activity log.
20. The computer program product of claim 15 , wherein determining a reputation for the network activity item comprises conducting an investigation to evaluate the reputation of the network activity item including classifying whether the network activity item is malicious or non-malicious.