IP Library › Granted Patent US 11,522,900
Granted Patent B2
US 11,522,900 · App. 16/870,573 · Granted Dec 6, 2022

System and method for cyber security threat assessment

Inventors: Dane Connell (Fishers, IN); Michael Rossi (Fishers, IN); Mark Lopes (Fishers, IN)
Assignee: Cybeta, LLC
H04L63/1433G06F16/254H04L41/12H04L41/142H04L63/1425
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Quick Facts
Patent No.
US 11,522,900
App. No.
16/870,573
Granted
Dec 6, 2022
Kind
B2
Abstract

Embodiments of the disclosure provide a system and method for developing rich data for holistic metrics for gauging an enterprise cyber security posture to enable proactive and preventative measures in order to minimize the enterprise's exposure to a cyberattack. By taking an enterprise-wide holistic approach to cyber security, the enterprise will have information needed to identify areas of its network systems for remediation that will result in making the enterprise a less attractive target for cyber threat actors.

Claims (61)

1. A method for providing a holistic cyber security risk prediction metric for an enterprise network associated with an enterprise at risk from cyber security threats, the method comprising:

identifying enterprise network parameters of the enterprise network associated with the enterprise at risk from cyber security threats;

collecting vulnerability data associated with the enterprise network parameters, the vulnerability data comprising vulnerability scoring data and exploit severity data;

determining one or more component cyber security threat scores based on the enterprise network parameters, the vulnerability scoring data, and the exploit severity data; and

determining a holistic cyber security risk score for the enterprise at risk from cyber security threats based on the one or more component cyber security threat scores.

2. The method of claim 1 , wherein the identifying the enterprise network parameters comprises:

identifying a Top-Level Domain (TLD) and any associated Autonomous System Numbers (ASNs) of the enterprise network; and

identifying enterprise network infrastructure based on the TLD and the ASNs of the enterprise network.

3. The method of claim 2 , wherein the enterprise network infrastructure comprises computer Internet Protocol (IP) addresses of the enterprise network, and port numbers for each of the IP addresses.

4. The method of claim 2 , wherein the collecting the enterprise network infrastructure is performed by an automated passive scanner.

5. The method of claim 3 , further comprising identifying technologies running on each of the IP addresses.

6. The method of claim 3 , wherein the enterprise network infrastructure further comprises hostnames and subdomains of the enterprise network.

7. The method of claim 5 , wherein:

the vulnerability data comprises published vulnerabilities and is collected for the identified technologies, and the published vulnerabilities comprises the vulnerability scoring data and the exploit severity data for each technology,

the one or more component cyber security threat scores comprises a first component score, a second component score, and a third component score for each of the IP addresses,

the first component score is determined based on a number of the identified technologies, a number of port numbers open on each of the IP addresses, and a number of published vulnerabilities associated with the identified technologies,

the second component score is determined based on the vulnerability scoring data for each of published vulnerabilities of the technologies for each of the IP addresses, and

the third component score is determined based on the exploit severity data for each of the technologies of each of the IP addresses.

8. The method of claim 7 , wherein the determining the holistic cyber security risk score comprises:

determining individual IP address threat scores based on a combination of the first component score, the second component score, and the third component score for each of the IP addresses; and

aggregating the individual IP address threat scores.

9. A system for providing a holistic cyber security risk prediction metric for an enterprise network associated with an enterprise at risk from cyber security threats, the system comprising:

a cyber security risk prediction server configured for:

identifying enterprise network parameters of the enterprise network associated with the enterprise at risk from cyber security threats;

collecting vulnerability data associated with the enterprise network parameters, the vulnerability data comprising vulnerability scoring data and exploit severity data;

determining one or more component cyber security threat scores based on the enterprise network parameters, the vulnerability scoring data, and the exploit severity data; and

determining a holistic cyber security risk score for the enterprise at risk from cyber security threats based on the one or more component cyber security threat scores.

10. The system of claim 9 , wherein the enterprise network infrastructure comprises computer Internet Protocol (IP) addresses of the enterprise network, and port numbers for each of the IP addresses.

11. The system of claim 9 , wherein the collecting the enterprise network infrastructure is performed by an automated passive scanner.

12. The system of claim 10 , further comprising identifying technologies running on each of the IP addresses.

13. The system of claim 10 , wherein the enterprise network infrastructure further comprises hostnames and subdomains of the enterprise network.

14. The system of claim 12 , wherein:

the vulnerability data comprises published vulnerabilities and is collected for the identified technologies, and the published vulnerabilities comprises the vulnerability scoring data and the exploit severity data for each technology,

the one or more component cyber security threat scores comprises a first component score, a second component score, and a third component score for each of the IP addresses,

the first component score is determined based on a number of the identified technologies, a number of port numbers open on each of the IP addresses, and a number of published vulnerabilities associated with the identified technologies,

the second component score is determined based on the vulnerability scoring data for each of published vulnerabilities of the technologies for each of the IP addresses, and

the third component score is determined based on the exploit severity data for each of the technologies of each of the IP addresses.

15. The system of claim 14 , wherein the determining the holistic cyber security risk score comprises:

determining individual IP address threat scores based on a combination of the first component score, the second component score, and the third component score for each of the IP addresses; and

aggregating the individual IP address threat scores.

16. A non-transitory computer-readable medium containing computer executable instructions for providing a holistic cyber security risk prediction metric for an enterprise network associated with an enterprise at risk from cyber security threats, the computer readable instructions, when executed by a computer, cause the computer to perform steps comprising:

identifying enterprise network parameters of the enterprise network associated with the enterprise at risk from cyber security threats;

collecting vulnerability data associated with the enterprise network parameters, the vulnerability data comprising vulnerability scoring data and exploit severity data;

determining one or more component cyber security threat scores based on the enterprise network parameters, the vulnerability scoring data, and the exploit severity data; and

determining a holistic cyber security risk score for the enterprise at risk from cyber security threats based on the one or more component cyber security threat scores.

17. The non-transitory computer-readable medium of claim 16 , wherein the identifying the enterprise network parameters comprises:

identifying a Top-Level Domain (TLD) and any associated Autonomous System Numbers (ASNs) of the enterprise network; and

identifying enterprise network infrastructure based on the TLD and the ASNs of the enterprise network.

18. The non-transitory computer-readable medium of claim 17 , wherein the enterprise network infrastructure comprises computer Internet Protocol (IP) addresses of the enterprise network, and port numbers for each of the IP addresses.

19. The non-transitory computer-readable medium of claim 17 , wherein the collecting the enterprise network infrastructure is performed by an automated passive scanner.

20. The non-transitory computer-readable medium of claim 18 , further comprising computer readable instructions to cause the computer to perform a step comprising identifying technologies running on each of the IP addresses.

21. The non-transitory computer-readable medium of claim 18 , wherein the enterprise network infrastructure further comprises hostnames and subdomains of the enterprise network.

22. The non-transitory computer-readable medium of claim 20 , wherein:

the vulnerability data comprises published vulnerabilities and is collected for the identified technologies, and the published vulnerabilities comprises the vulnerability scoring data and the exploit severity data for each technology,

the one or more component cyber security threat scores comprises a first component score, a second component score, and a third component score for each of the IP addresses,

the first component score is determined based on a number of the identified technologies, a number of port numbers open on each of the IP addresses, and a number of published vulnerabilities associated with the identified technologies,

the second component score is determined based on the vulnerability scoring data for each of published vulnerabilities of the technologies for each of the IP addresses, and

the third component score is determined based on the exploit severity data for each of the technologies of each of the IP addresses.

23. The non-transitory computer-readable medium of claim 22 , wherein the determining the holistic cyber security risk score comprises:

determining individual IP address threat scores based on a combination of the first component score, the second component score, and the third component score for each of the IP addresses; and

aggregating the individual IP address threat scores.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 16, 2026
From: CYBETA LLC
To: HOWDEN US SPECIALTY, LLC
Reel/Frame 076043/0451 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 1, 2021
From: CONNELL, DANE; ROSSI, MICHAEL; LOPES, MARK
To: CYBETA, LLC
Reel/Frame 057665/0304 →
Continuity (2)
Provisional Application 62846430 · May 10, 2019
Related Publication 20200358807A1 · Nov 12, 2020
Cited By (1)
US 12,664,287