Dynamically Adapting Cybersecurity Training Templates Based on Measuring User-Specific Phishing/Fraud Susceptibility
US-2022005373-A1 · Jan 6, 2022 · US
US12177252B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12177252-B2 |
| Application number | US-202318124984-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 22, 2023 |
| Priority date | Apr 29, 2020 |
| Publication date | Dec 24, 2024 |
| Grant date | Dec 24, 2024 |
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Systems and methods are described for leveraging the knowledge and security awareness of well-informed users in an organization to protect other users and train them to identify new phishing attacks. Initially, a report of a message being suspicious may be identified and it may be determined whether message is a malicious phishing message. In an example, a well-informed user of an organization may report the message as suspicious. Further, on determining the message to be a malicious phishing message, a simulated phishing message or a template may be created. The simulated phishing message may then be communicated to one or more devices of one or more users.
Opening claim text (preview).
What is claimed is: 1. A method comprising: identifying, by one or more processors, that a message reported as being suspicious is a malicious phishing message; modifying, by the one or more processors, one or more malicious elements of the malicious phishing message to include one or more links to training content when interacted with by a user; using, by the one or more processors, the modified malicious phishing message as a simulated phishing message to replace the malicious phishing message in one or more message applications; and communicating, by the one or more processors, the modified malicious phishing message as the simulated phishing message to one or more message applications. 2. The method of claim 1 , further comprising receiving, by the one or more processors, a report of the message as being suspicious from one or more users during a phishing attack. 3. The method of claim 1 , further comprising modifying, by the one or more processors, the malicious phishing message by removing a malicious element of the one or more malicious elements from the malicious phishing message. 4. The method of claim 1 , further comprising causing, by the one or more processors, the message reported as being suspicious to be replaced in a messaging application of the one or more messaging applications with the modified malicious phishing message. 5. The method of claim 1 , further comprising detecting, by the one or more processors using one or more detection rules, that the reported message is malicious. 6. The method of claim 1 , further comprising creating, by the one or more processors, a second simulated phishing message based at least on the modified malicious phishing message. 7. The method of claim 1 , further comprising creating, by the one or more processors, a template based at least on the modified malicious phishing message. 8. The method of claim 1 , further comprising modifying, by the one or more processors, a link of the one or more malicious elements with a benign link. 9. The method of claim 1 , further comprising modifying, by the one or more processors, a malicious element of the one or more malicious elements by removing one of an attachment or macro of the malicious phishing message. 10. A system comprising: one or more processors, coupled to memory and configured to: identify that a message reported as being suspicious is a malicious phishing message; modify one or more malicious elements of the malicious phishing message to include one or more links to training content when interacted with by a user; and use the modified malicious phishing message as a simulated phishing message to replace the malicious phishing message in one or more message applications; and communicate the modified malicious phishing message as the simulated phishing message to one or more message applications. 11. The system of claim 10 , wherein the one or more processors are further configured to receive a report of the message as being suspicious from one or more users during a phishing attack. 12. The system of claim 10 , wherein the one or more processors are further configured to modify the malicious phishing message by removing a malicious element of the one or more malicious elements from the malicious phishing message. 13. The system of claim 10 , wherein the one or more processors are further configured to cause the message reported as being suspicious to be replaced in a messaging application of the one or more messaging applications with the modified malicious phishing message. 14. The system of claim 10 , wherein the one or more processors are further configured to detect, using one or more detection rules, that the reported message is malicious. 15. The system of claim 10 , wherein the one or more processors are further configured to create a second simulated phishing message based at least on the modified malicious phishing message. 16. The system of claim 10 , wherein the one or more processors are further configured to create a template based at least on the modified malicious phishing message. 17. The system of claim 10 , wherein the one or more processors are further configured to modify a link of the one or more malicious elements with a benign link. 18. The system of claim 10 , wherein the one or more processors are further configured to modify a malicious element of the one or more malicious elements by removing one of an attachment or macro of the malicious phishing message.
using filtering or selective blocking · CPC title
Mailbox-related aspects, e.g. synchronisation of mailboxes · CPC title
service impersonation, e.g. phishing, pharming or web spoofing (detection of rogue wireless access points H04W12/12) · CPC title
Interoperability with other network applications or services · CPC title
Computers, e.g. programming · CPC title
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