Systems and methods for automated determination of network device transiting data attributes

• US 10,348,607 B2
• Filed: 11/28/2017
• Issued: 07/09/2019
• Est. Priority Date: 09/19/2016
• Status: Active Grant

• Current Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Original Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Inventors: Barnum, Eric, Banks, Terence
• Primary Examiner(s): Tiv, Backhean
• Application Number:
  US15/824,412
• Publication Number:
  US 20180083859A1
• Time in Patent Office: 588 Days
• Field of Search: None
• CPC Class Codes: H04L 43/18 Protocol analysers
• CPC Class Codes: H04L 43/50 Testing arrangements
• CPC Class Codes: H04L 63/0236 Filtering by address, protocol, port number or service, e.g. IP-address or URL
• CPC Class Codes: H04L 69/24 Negotiation of communication capabilities

Abstract

A system for determining network device transiting data attributes includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to run a first script on all static ports of a network and run a second script on all known ports of the network. The system may parse the parameters returned from the first and second scripts to identify one or more identified ports of the known ports. The system may run a third script on the one or more identified ports to force one or more denials at the identified ports. Based on the one or more denials, the system may determine network device transiting data attributes including but not limited to allowed protocols and directionality for each of the one or more identified ports.

Claims

1. A system for determining network device transiting data attributes, the system comprising:

one or more memory devices storing instructions; and

one or more processors configured to execute the instructions to;

run a first script on all static ports of a network, wherein the first script returns parameters for the static ports;

run a second script on all known ports of the network, wherein the second script returns parameters for the known ports;

parse the returned parameters for the static ports and the returned parameters for the known ports to identify a first port of the known ports; and

produce a target/hit view report for the first port indicating a variance in an established control mechanism of the network.

2. The system of claim 1, wherein the instructions further comprise instructions to identify one or more shadow assets operating in the network based on the variance in the established control mechanism.

3. The system of claim 2, wherein the one or more shadow assets are identified by comparing differences between the returned parameters for the static ports and the returned parameters for the known ports.

4. The system of claim 3, wherein the one or more shadow assets comprise one or more inactive shadow assets.

5. The system of claim 1, wherein the established control mechanism comprises one or more of a policy and a rule of the network.

6. The system of claim 1, wherein the first script on all static ports returns path and destination addresses for all static ports of the network.

7. The system of claim 1, wherein static ports include network destinations and firewall locations of the network.

8. The system of claim 1, wherein the second script on all known ports returns path and destination addresses for all ports of the network and identifies temporarily allowed sessions for each of the known ports.

9. The system of claim 1, wherein the known ports of the network comprise one or more of known active, virtual, and non-active ports of the network.

10. The system of claim 1, wherein parameters returned by the first script and second script include one or more of an allowed state of a static port, protocol, input interface, source protocol, source mask, source port, output interface, destination protocol, destination mask and destination port.

11. The system of claim 1, wherein the first port is identified based on protocol and device type to target one or more of network ports and network appliances.

12. The system of claim 1, wherein the one or more processors are further configured to execute the instructions to schedule run time of the first script and the second script for timed targeting.

13. The system of claim 1, wherein the one or more processors are further configured to execute the instructions to:

capture allowed protocols and directionality for the first port; and

generate a database comprising at least a portion of the captured allowed protocols and the directionality for the first port.

14. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause a computing device to:

run a first script on all static ports of a network, wherein the first script returns parameters for the static ports;

run a second script on all known ports of the network, wherein the second script returns parameters for the known ports;

parse the returned parameters for the static ports and the returned parameters for the known ports to identify a first plurality of ports of the known ports; and

produce a target/hit view report for the first plurality of ports indicating a variance in an established control mechanism of the network.

15. The non-transitory computer-readable medium of claim 14, further storing instructions that, when executed by the one or more processors, cause the computing device to:

identify one or more shadow assets operating in the network based on the variance in the established control.

16. The non-transitory computer-readable medium of claim 15, wherein the one or more shadow assets are identified by comparing differences between the returned parameters for the static ports and the returned parameters for the known ports.

17. The non-transitory computer-readable medium of claim 15, wherein the one or more shadow assets comprise one or more inactive shadow assets.

18. A method for network testing, comprising:

run, via a computing device of a network, a first script on all static ports of the network, wherein the first script returns parameters for the static ports;

run, via the computing device, a second script on all known ports of the network, wherein the second script returns parameters for the known ports;

parse, via the computing device, the returned parameters for the static ports and the returned parameters for the known ports to identify at least a first port of the known ports; and

produce a target/hit view report for the first port indicating a variance in an established control mechanism of the network.

19. The method of claim 18, further comprising identifying one or more shadow assets operating in the network by comparing differences between the returned parameters for the static ports and the returned parameters for the known ports.

20. The method of claim 18, wherein the one or more shadow assets comprise one or more inactive shadow assets.