Phishing campaign ranker

Patent metadata

Field	Value
Publication number	US-9749359-B2
Application number	US-201514805630-A
Country	US
Kind code	B2
Filing date	Jul 22, 2015
Priority date	Jul 22, 2015
Publication date	Aug 29, 2017
Grant date	Aug 29, 2017

Abstract

According to one embodiment, an apparatus includes a memory and a processor. The memory is configured to store a plurality of phishing scores, each phishing score of the plurality of phishing scores indicating a likelihood that a user will delete a phishing email. The processor is configured to determine that a plurality of phishing campaigns are occurring. For each phishing campaign of the plurality of phishing campaigns, the processor is configured to determine that a plurality of users deleted a phishing email of the phishing campaign and to determine a priority score for the phishing campaign based on the phishing score of each user of the plurality of users. The processor is further configured to rank the plurality of phishing campaigns based on the priority score of each phishing campaign, wherein the phishing campaign of the plurality of phishing campaigns with the highest rank is presented first.

First claim

What is claimed is:

1. An apparatus comprising:
a memory configured to store a plurality of phishing scores, each phishing score of the plurality of phishing scores indicating a likelihood that a user will delete a phishing email; and
a processor communicatively coupled to the memory, the processor configured to:
determine that a plurality of phishing campaigns are occurring;
for each phishing campaign of the plurality of phishing campaigns:
determine that a plurality of users deleted a phishing email of the phishing campaign;
determine that a plurality of users fell victim to the phishing email of the phishing campaign; and
determine a priority score for the phishing campaign based on the phishing score of each user of the plurality of users who deleted the phishing email, on the phishing score of each user of the plurality of users who fell victim to the phishing email, and on a number of phishing emails sent as part of the phishing campaign; and

rank the plurality of phishing campaigns based on the priority score of each phishing campaign, wherein the phishing campaign of the plurality of phishing campaigns with the highest rank is presented first.

2. The apparatus of claim 1 , wherein the priority score for each phishing campaign is inversely proportional to the phishing score of a user of the plurality of users.

3. The apparatus of claim 1 , wherein the plurality of phishing scores are determined by analyzing a deletion rate of a plurality of users to a plurality of phishing emails.

4. The apparatus of claim 1 , wherein the phishing campaign of the plurality of phishing campaigns with the lowest ranking is ignored.

5. The apparatus of claim 1 , wherein for each phishing campaign, the determination of the priority score for the campaign is further based on a response rate to the phishing email of the phishing campaign.

6. A method comprising:
storing, by a memory, a plurality of phishing scores, each phishing score of the plurality of phishing scores indicating a likelihood that a user will delete a phishing email; and
determining, by a processor, that a plurality of phishing campaigns are occurring;
for each phishing campaign of the plurality of phishing campaigns:
determining, by the processor, that a plurality of users deleted a phishing email of the phishing campaign;
determining that a plurality of users fell victim to the phishing email of the phishing campaign; and
determining, by the processor, a priority score for the phishing campaign based on the phishing score of each user of the plurality of users who deleted the phishing email, on the phishing score of each user of the plurality of users who fell victim to the phishing email, and on a number of phishing emails sent as part of the phishing campaign; and
ranking the plurality of phishing campaigns based on the priority score of each phishing campaign, wherein the phishing campaign of the plurality of phishing campaigns with the highest rank is presented first.

7. The method of claim 6 , wherein the priority score for each phishing campaign is inversely proportional to the phishing score of a user of the plurality of users.

8. The method of claim 6 , wherein the plurality of phishing scores are determined by analyzing a deletion rate of a plurality of users to a plurality of phishing emails.

9. The method of claim 6 , wherein the phishing campaign of the plurality of phishing campaigns with the lowest ranking is ignored.

10. The method of claim 6 , wherein for each phishing campaign, the determination of the priority score for the campaign is further based on a response rate to the phishing email of the phishing campaign.

11. A system comprising:
a plurality of users; and
a phishing management device comprising:
a memory configured to store a plurality of phishing scores, each phishing score of the plurality of phishing scores indicating a likelihood that a user will delete a phishing email; and
a processor communicatively coupled to the memory and configured to:
determine that a plurality of phishing campaigns are occurring;
for each phishing campaign of the plurality of phishing campaigns:
determine that a plurality of users deleted a phishing email of the phishing campaign;
determine that a plurality of users fell victim to the phishing email of the phishing campaign; and
determine a priority score for the phishing campaign based on the phishing score of each user of the plurality of users who deleted the phishing email, on the phishing score of each user of the plurality of users who fell victim to the phishing email, and on a number of phishing emails sent as part of the phishing campaign; and

rank the plurality of phishing campaigns based on the priority score of each phishing campaign, wherein the phishing campaign of the plurality of phishing campaigns with the highest rank is presented first.

12. The system of claim 11 , wherein the priority score for each phishing campaign is inversely proportional to the phishing score of a user of the plurality of users.

13. The system of claim 11 , wherein the plurality of phishing scores are determined by analyzing a deletion rate of a plurality of users to a plurality of phishing emails.

14. The system of claim 11 , wherein the phishing campaign of the plurality of phishing campaigns with the lowest ranking is ignored.

15. The system of claim 11 , wherein for each phishing campaign, the determination of the priority score for the campaign is further based on a response rate to the phishing email of the phishing campaign.

Assignees

• Bank Of America

Inventors

• Gatti Benjamin L

Classifications

• H04L63/145

  the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms · CPC title

• H04L63/1433

  Vulnerability analysis · CPC title

• H04L63/1416

  Event detection, e.g. attack signature detection · CPC title

• H04L63/1483 Primary

  service impersonation, e.g. phishing, pharming or web spoofing (detection of rogue wireless access points H04W12/12) · CPC title

• H04L63/1425

  Traffic logging, e.g. anomaly detection · CPC title