IP Library Granted Patent US 11,050,767
Granted Patent B2
US 11,050,767 · App. 16/222,483 · Granted Jun 29, 2021

System for identifying and handling electronic communications from a potentially untrustworthy sending entity

Inventors: Robert B. Black (Austin, TX); Harish Nair (Austin, TX); He Yin (Round Rock, TX)
Assignee: Forcepoint, LLC
H04L63/1416G06Q50/01H04L51/32H04L63/126H04L67/306
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,050,767
App. No.
16/222,483
Granted
Jun 29, 2021
Kind
B2
Abstract

A method, system and computer-usable medium for identifying communications received from potentially untrustworthy entities. More specifically, in one embodiment the invention relates to a computer-implemented method comprising: receiving an electronic communication for a receiving entity from a sending entity; accessing social media profile information for the sending entity from a social media network; and analyzing the social media profile information of the sending entity pursuant to determining whether the received electronic communication is from a potentially untrustworthy entity. Certain embodiments use the determination as to whether the received electronic communication is from a potentially untrustworthy entity to assess whether the received electronic communication is a reconnaissance communication, such as a phishing email.

Claims (127)

1. A computer-implemented method for identifying communications received from potentially untrustworthy entities comprising:

receiving, via a protected endpoint, an electronic communication for a receiving entity from a sending entity, the protected endpoint comprising an endpoint device and an endpoint agent, the endpoint agent executing on a hardware processor of the endpoint device;

accessing, via a security analytics system, social media information for the sending entity from a social media network;

analyzing, via the security analytics system, the social media information of the sending entity pursuant to determining whether the received electronic communication is from a potentially untrustworthy entity;

determining whether the receiving entity and the sending entity have common contacts in the social media network;

determining a number of common contacts in the social media network the receiving entity and the sending entity have;

using a threshold criterion for the number of common contacts to determine whether the sending entity may be trusted;

assigning a confidence level that the received electronic communication is a communication from a potentially untrustworthy entity when the receiving entity and the sending entity have common contacts in the social media network, wherein the confidence level includes a common contact confidence level, the common contact confidence level being based on a degree of relationship with respect to the receiving entity between any common contacts of the receiving entity and the sending entity in the social media network;

identifying, via the security analytics system, the electronic communication as a reconnaissance communication using the confidence level that the received electronic communication is from a potentially untrustworthy entity; and,

executing security mitigation operations on the received electronic communication when the electronic communication is identified as a reconnaissance communication.

2. The method of claim 1 , wherein analyzing the social media information of the sending entity comprises one or more of:

determining whether a social media profile exists on the social media network for the sending entity;

determining a number of contacts with which the sending entity is associated on the social media network;

determining whether the receiving entity and the sending entity are linked as contacts in the social media network;

determining a geographical region of the sending entity;

determining how long the social media profile has been active; and

determining a social media participation score for the sending entity.

3. The method of claim 1 , further comprising:

accessing social media data to determine a degree of relationship between the receiving entity and the sending entity; and

analyzing the degree of relationship between the receiving entity and sending entity pursuant to determining whether the received electronic communication is from a potentially untrustworthy entity.

4. The method of claim 1 , wherein analyzing social media information comprises:

assigning a weighted confidence level that the received electronic communication is a communication from a potentially untrustworthy entity, wherein the weighted confidence level includes one or more of:

a first confidence level determined from a number of contacts with which the sending entity is associated;

a second confidence level based on whether the receiving entity and the sending entity are linked as contacts in the social media network;

a third confidence level based on whether the receiving entity and the sending entity have common contacts in the social media network;

a fourth confidence level based on how long a social media profile of the sending entity has existed in the social media network;

a fifth confidence level based on a geographic region associated with the social media profile of the sending entity;

a sixth confidence level based on an organization with which the sending entity is associated;

a seventh confidence level based on a social media participation score of the sending entity; and

determining a composite confidence level using one or more of the first, second, third, fourth, fifth, sixth, or seventh confidence levels.

5. The method of claim 4 , wherein

the composite confidence level is determined using weighted values for one or more of the first, second, third, and fourth confidence levels.

6. The method of claim 1 , wherein the electronic communication comprises an email; and

the analysis of the social media information of the sending entity is used to determine whether the email is a phishing email.

7. The method of claim 1 , further comprising:

executing the security mitigation operations on the received electronic communication when the analysis of the social media information of the sending entity indicates that the received electronic communication is from a potentially untrustworthy entity, wherein the security mitigation operations comprise one or more of:

quarantining the received electronic communication;

sandboxing the received electronic communication;

communicating a notification to a security administrator that a suspicious communication has been received by the receiving entity; and

communicating a notification to the receiving entity that a suspicious communication has been received for the receiving entity.

8. The method of claim 1 , further comprising:

executing one or more further detection operations in addition to analyzing the social media information of the sending entity to determine whether the received electronic communication is received from a potentially untrustworthy entity, wherein the one or more further detection operations include one or more operations comprising:

determining whether the received electronic communication includes malware;

determining whether the received electronic communication originated from an untrusted domain or sender;

determining whether the received electronic communication includes a hyperlink to an unknown and/or untrusted domain or sender; and

determining whether the received electronic communication corresponds to a known reconnaissance communication campaign.

9. The method of claim 1 , further comprising:

if the received electronic communication is from a potentially untrustworthy entity, using the received electronic communication to assess a degree of risk associated with the receiving entity.

10. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:

receiving, via a protected endpoint, an electronic communication for a receiving entity from a sending entity, the protected endpoint comprising an endpoint device and an endpoint agent, the endpoint agent executing on a hardware processor of the endpoint device;

accessing, via a security analytics system, social media information for the sending entity from a social media network;

analyzing, via the security analytics system, the social media information of the sending entity pursuant to determining whether the received electronic communication is from a potentially untrustworthy entity;

determining whether the receiving entity and the sending entity have common contacts in the social media network;

determining a number of common contacts in the social media network the receiving entity and the sending entity have;

using a threshold criterion for the number of common contacts to determine whether the sending entity may be trusted;

assigning a confidence level that the received electronic communication is a communication from a potentially untrustworthy entity when the receiving entity and the sending entity have common contacts in the social media network, wherein the confidence level includes a common contact confidence level, the common contact confidence level being based on a degree of relationship with respect to the receiving entity between any common contacts of the receiving entity and the sending entity in the social media network;

identifying, via the security analytics system, the electronic communication as a reconnaissance communication using the confidence level that the electronic communication is from a potentially untrustworthy entity; and,

executing security mitigation operations on the received electronic communication when the electronic communication is identified as a reconnaissance communication.

11. The system of claim 10 , wherein analyzing the social media information of the sending entity comprises one or more of:

determining whether a social media profile exists on the social media network for the sending entity;

determining a number of contacts with which the sending entity is associated on the social media network;

determining whether the receiving entity and the sending entity are linked as contacts in the social media network;

determining a geographical region of the sending entity;

determining a social media participation score for the sending entity; and

determining how long the social media profile has been active.

12. The system of claim 10 , further comprising:

accessing social media information to determine a degree of relationship between the receiving entity and the sending entity; and

analyzing the degree of relationship between the receiving entity and sending entity pursuant to determining whether the received electronic communication is from a potentially untrustworthy entity.

13. The system of claim 10 , wherein analyzing the social media information comprises:

assigning a weighted confidence level that the received electronic communication is a communication from a potentially untrustworthy entity, wherein the weighted confidence level includes one or more of:

a first confidence level determined from a number of contacts with which the sending entity is associated;

a second confidence level based on whether the receiving entity and the sending entity are linked as contacts in the social media network;

a third confidence level based on whether the receiving entity and the sending entity have common contacts in the social media network;

a fourth confidence level based on how long a social media profile of the sending entity has existed in the social media network;

a fifth confidence level based on a geographic region associated with the social media profile of the sending entity;

a sixth confidence level based on an organization with which the sending entity is associated;

a seventh confidence level based on a social media participation score of the sending entity; and

determining a composite confidence level using one or more of the first, second, third, fourth, fifth, sixth, or seventh confidence levels.

14. The system of claim 13 , wherein

the composite confidence level is determined using weighted values for one or more of the first, second, third, and fourth confidence levels.

15. The system of claim 10 , wherein the electronic communication comprises an email; and

the analysis of the social media information of the sending entity is used to determine whether the email is a phishing email.

16. The system of claim 10 , further comprising:

executing the security mitigation operations on the received electronic communication when the analysis of the social media information of the sending entity indicates that the received electronic communication is from a potentially untrustworthy entity, wherein the security mitigation operations comprise one or more of:

quarantining the received electronic communication;

sand boxing the received electronic communication;

communicating a notification to a security administrator that a suspicious communication has been received by the receiving entity; and

communicating a notification to the receiving entity that a suspicious communication has been received for the receiving entity.

17. The system of claim 10 , further comprising:

executing one or more further detection operations in addition to analyzing the social media information of the sending entity to determine whether the received electronic communication is received from a potentially untrustworthy entity, wherein the one or more further detection operations include one or more operations comprising:

determining whether the received electronic communication includes malware;

determining whether the received electronic communication originated from an untrusted domain or sender;

determining whether the received communication includes a hyperlink to an unknown and/or untrusted domain or sender; and

determining whether the received electronic communication corresponds to a known reconnaissance communication campaign.

18. The system of claim 10 , further comprising:

if the received electronic communication is from a potentially untrustworthy entity, using the received electronic communication to assess a degree of risk associated with the receiving entity.

19. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

receiving, via a protected endpoint an electronic communication for a receiving entity from a sending entity, the protected endpoint comprising an endpoint device and an endpoint agent, the endpoint agent executing on a hardware processor of the endpoint device;

accessing, via a security analytics system, social media information for the sending entity from a social media network;

analyzing, via the security analytics system, the social media information of the sending entity pursuant to determining whether the received electronic communication is from a potentially untrustworthy entity;

determining whether the receiving entity and the sending entity have common contacts in the social media network;

determining a number of common contacts in the social media network the receiving entity and the sending entity have;

using a threshold criterion for the number of common contacts to determine whether the sending entity may be trusted;

assigning a confidence level that the received electronic communication is a communication from a potentially untrustworthy entity when the receiving entity and the sending entity have common contacts in the social media network, wherein the confidence level includes a common contact confidence level, the common contact confidence level being based on a degree of relationship with respect to the receiving entity between any common contacts of the receiving entity and the sending entity in the social media network;

identifying, via the security analytics system, the electronic communication as a reconnaissance communication using the confidence level that the received electronic communication is from a potentially untrustworthy entity; and,

executing security mitigation operations on the received electronic communication when the electronic communication is identified as a reconnaissance communication.

20. The non-transitory, computer-readable storage medium of claim 19 , wherein analyzing the social media information of the sending entity comprises one or more of:

determining whether a social media profile exists on the social media network for the sending entity;

determining a number of contacts with which the sending entity is associated on the social media network;

determining whether the receiving entity and the sending entity are linked as contacts in the social media network;

determining a degree of relationship between any common contacts of the receiving entity and the sending entity;

determining a geographical region of the sending entity;

determining a social media participation score for the sending entity; and

determining how long the social media profile has been active.

21. The non-transitory, computer-readable storage medium of claim 19 , wherein

the electronic communication comprises an email; and

the analysis of the social media information of the sending entity is used to determine whether the email is a phishing email.

22. The non-transitory, computer-readable storage medium of claim 19 , further comprising:

executing security mitigation operations on the received electronic communication when the analysis of the social media information of the sending entity indicates that the received electronic communication is from a potentially untrustworthy entity,

wherein the security mitigation operations comprise one or more of:

quarantining the received electronic communication;

sand boxing the received electronic communication;

communicating a notification to a security administrator that a suspicious communication has been received by the receiving entity; and

communicating a notification to the receiving entity that a suspicious communication has been received for the receiving entity.

Assignments (8)
RELEASE OF SECURITY INTEREST Recorded Apr 2, 2025
From: UBS AG, STAMFORD BRANCH
To: FORCEPOINT, LLC; BITGLASS, LLC
Reel/Frame 070706/0263 →
SECURITY INTEREST Recorded Apr 1, 2025
From: FORCEPOINT LLC; BITGLASS, LLC
To: SOCIÉTÉ GÉNÉRALE
Reel/Frame 070703/0887 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 19, 2021
From: FORCEPOINT FEDERAL HOLDINGS LLC
To: FORCEPOINT LLC
Reel/Frame 056294/0618 →
CHANGE OF NAME Recorded May 12, 2021
From: FORCEPOINT LLC
To: FORCEPOINT FEDERAL HOLDINGS LLC
Reel/Frame 056216/0204 →
PATENT SECURITY AGREEMENT Recorded Jan 20, 2021
From: REDOWL ANALYTICS, INC.; FORCEPOINT LLC
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
Reel/Frame 055052/0302 →
RELEASE OF SECURITY INTEREST IN PATENTS Recorded Jan 8, 2021
From: RAYTHEON COMPANY
To: FORCEPOINT LLC
Reel/Frame 055479/0676 →
PATENT SECURITY AGREEMENT SUPPLEMENT Recorded Mar 15, 2019
From: FORCEPOINT LLC
To: RAYTHEON COMPANY
Reel/Frame 048613/0636 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 17, 2018
From: BLACK, ROBERT B.; NAIR, HARISH; YIN, HE
To: FORCEPOINT, LLC
Reel/Frame 047798/0095 →