Cyber vulnerability scan analyses with actionable feedback

• US 10,218,736 B2
• Filed: 03/13/2017
• Issued: 02/26/2019
• Est. Priority Date: 12/29/2014
• Status: Active Grant

• Current Assignee: Cyence LLC. (Guidewire Software Incorporated)
• Original Assignee: Guidewire Software Incorporated
• Inventors: Ng, George Y., Zhang, Feiyin, Tancioco, Jr., Fernando
• Primary Examiner(s): Rahman, Mahfuzur
• Application Number:
  US15/457,921
• Publication Number:
  US 20170187745A1
• Time in Patent Office: 715 Days
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: H04L 63/083 using passwords cryptographic mechanisms or cryptographic arrangements for entity authentication using a predetermined code H04L9/3226
• CPC Class Codes: H04L 63/1433 Vulnerability analysis
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227

Abstract

Embodiments of the present technology relate to cyber attack vulnerability analyses. In one embodiment, a method includes determining an external infrastructure of an entity, the external infrastructure including one or more cyber assets utilized by the entity, collecting infrastructure information regarding the one or more cyber assets, performing passive cyber security vulnerability testing on the one or more cyber assets using the collected infrastructure information, and assessing cyber security vulnerabilities of the one or more cyber assets. The method may further include calculating an association score for the one or more cyber assets based on the assessed cyber security vulnerabilities, and automatically recommending, based on the association score, computer network changes to reduce the cyber security vulnerabilities.

Claims

1. A method, comprising:

determining an external infrastructure of an entity, the entity being coupled to a network, the external infrastructure comprising one or more cyber assets utilized by the entity;

collecting infrastructure information regarding the one or more cyber assets, wherein the infrastructure information collected includes at least historical patterns for the infrastructure;

performing passive cyber security vulnerability testing on the one or more cyber assets using the collected infrastructure information, wherein the passive cyber security vulnerability testing does not require access to the one or more cyber assets, and wherein the passive cyber security vulnerability testing includes normalizing based on the historical patterns and based on a peer group of the entity;

assessing cyber security vulnerabilities of the one or more cyber assets based on the performing of the passive cyber security vulnerability testing;

calculating an association score for the one or more cyber assets based on the assessed cyber security vulnerabilities; and

automatically recommending to the entity via the network, based on the association score, computer network changes for the one or more cyber assets to reduce the assessed cyber security vulnerabilities.

2. The method of claim 1, wherein the infrastructure information collected further includes patterns based on comparing the entity to a peer group for the entity.

3. The method of claim 1, wherein the collecting of infrastructure information regarding the one or more cyber assets comprises evaluating domain name server information or domain host information for the one or more cyber assets.

4. The method of claim 3, further comprising:

determining cyber security failures of third party cyber assets associated with the domain name server information or the domain host information; and

wherein the assessing of cyber security vulnerabilities of the one or more cyber assets is further based on the determining of cyber security failures of the third party cyber assets.

5. The method of claim 4, wherein the cyber security failures comprise any of a cyber attack or a privacy incident involving sensitive information.

6. The method of claim 1,

wherein the collecting of infrastructure information regarding the one or more cyber assets comprises searching online resources to determine if user account or authentication information has been exposed, the user account or authentication information comprising one or more of:

email addresses, usernames, passwords, and encryption keys; and

wherein the performing of passive cyber security vulnerability testing on the one or more cyber assets includes verifying the user account or authentication information by comparing the user account or authentication information of the collected infrastructure information with the user account or authentication information provided by the entity.

7. The method of claim 1, further comprising automatically determining, based on the assessed cyber security vulnerabilities, at least one of a change and a setting to at least one element of policy criteria of a cyber security policy.

8. The method of claim 7, further comprising, in response to the entity enacting at least a portion of the recommended computer network changes for the one or more cyber assets, initiating the change or the setting to the at least one element of policy criteria of the cyber security policy.

9. The method of claim 1, further comprising determining that the entity has enacted at least a portion of the recommended computer network changes for the one or more cyber assets, and in response, automatically re-performing passive cyber security vulnerability testing on the one or more cyber assets based on the recommended computer network changes.

10. The method of claim 9, further comprising dynamically re-assessing cyber security vulnerabilities of the one or more cyber assets based on the re-performed passive cyber security vulnerability testing.

11. The method of claim 1, wherein the assessing of cyber security vulnerabilities of the one or more cyber assets comprises:

assessing, using a plurality of sophistication elements for the entity, a sophistication for the entity with respect to preventing a cyber security failure, the sophistication being one of a plurality of features of the entity; and

assessing, using a plurality of motivation elements regarding the entity, a motivation of an actor to initiate the cyber security failure, the motivation being one of the plurality of features of the entity.

12. The method of claim 11, further comprising calculating a composite score from:

a motivation score, a sophistication score, and the association score;

wherein the motivation score represents the plurality of motivation elements and the sophistication score represents the plurality of sophistication elements.

13. The method of claim 1, further comprising:

creating an aggregate association score of a portfolio of entities based on a plurality of association scores, the plurality of association scores including the association score for the one or more cyber assets; and

benchmarking over time the aggregate association score of the portfolio of entities, the portfolio of entities belonging to at least one of an industry group, a geographic location, a company size, a technology sector, or any combinations thereof.

14. A system, comprising:

a processor; and

a memory communicatively coupled with the processor, the memory storing instructions which when executed by the processor performs a method, the method comprising;

determining an external infrastructure of an entity, the entity being coupled to a network, the external infrastructure comprising one or more cyber assets utilized by the entity;

collecting infrastructure information regarding the one or more cyber assets, wherein the infrastructure information collected includes historical patterns for the infrastructure;

performing passive cyber security vulnerability testing on the one or more cyber assets using the collected infrastructure information, wherein the passive cyber security vulnerability testing does not require access to the one or more cyber assets, and wherein the passive cyber security vulnerability testing includes normalizing based on the historical patterns and based on a peer group of the entity;

assessing cyber security vulnerabilities of the one or more cyber assets based on the performing of the passive cyber security vulnerability testing;

calculating an association score for the one or more cyber assets based on the assessed cyber security vulnerabilities; and

automatically recommending to the entity via the network, based on the association score, computer network changes for the one or more cyber assets to reduce the assessed cyber security vulnerabilities.

15. The system of claim 14, wherein the infrastructure information collected comprises:

patterns based on comparing the entity to the peer group for the entity.

16. A method, comprising:

assessing a plurality of online resources of an entity, the entity being coupled to a network;

collecting identifying information for the plurality of online resources wherein the identifying information collected includes at least historical patterns;

searching, based on the collected identifying information for the plurality of online resources, for information sources that have exposed sensitive information regarding the plurality of online resources;

determining cyber security vulnerabilities using the exposed sensitive information, wherein the determining cyber security vulnerabilities comprises passive cyber security vulnerability testing that does not require access to the plurality of online resources, the passive cyber security vulnerability testing including normalizing based on historical patterns and based on a peer group of the entity, and wherein the determining cyber security vulnerabilities comprises;

normalizing based on historical patterns for the plurality of online resources of the entity, and based on tracking against at least one peer group of the entity; and

automatically recommending to the entity via the network, based on the cyber security vulnerabilities, computer network changes for the plurality of online resources to reduce the cyber security vulnerabilities.