SYSTEMS AND METHODS FOR AUTOMATED SIMULATED PHISHING CAMPAIGNS USING NEWSLETTERS
Systems and methods are described for classifying email communications as a newsletter type of emails to use in a simulated phishing communication. Initially, one or more emails may be identified to classify as a newsletter type of email. The one or more emails may then be classified as the newsletter type of email based on one or more classification characteristics. An email may be selected from the one or more emails classified as the newsletter type of email. Further, the selected email may be modified to provide a simulated phishing email newsletter. The simulated phishing email newsletter may be communicated to one or more devices of one or more users.
1 . A method for classifying email communications as a newsletter type of emails to use in a simulated phishing communication, the method comprising:
(a) identifying, by one or more processors, one or more emails to classify as a newsletter type of email;
(b) classifying, by the one or more processors, the one or more emails as the newsletter type of email based at least on one or more classification characteristics.
(c) modifying, by the one or more processors, an email selected from the one or more emails classified as the newsletter type of email to provide a simulated phishing email newsletter; and
(d) communicating, by the one or more processors, the simulated phishing email newsletter to one or more devices of one or more users.
2 . The method of claim 1 , wherein (a) further comprises intercepting, by the one or more processors, the one or more emails comprising a newsletter prior to delivery to a recipient.
3 . The method of claim 1 , wherein (a) further comprises identifying, by the one or more processors, the one or more emails comprising a newsletter stored in a storage.
4 . The method of claim 1 , wherein the at least one or more classification characteristics comprises one or more of the following: one or more keywords, an unsubscribe link, a sender address and an identifier of a newsletter platform.
5 . The method of claim 1 , wherein the at least one or more classification characteristics comprises one or more characteristics of known newsletters stored in a database.
6 . The method of claim 1 , wherein (b) further comprising classifying, by the one or more processors, the one or more emails as malicious or not malicious.
7 . The method of claim 1 , wherein (b) further comprising classifying, by the one or more processors, the one or more emails using a newsletter score comprising a weighted function of a keyword score and one or more scores for each of the one or more classification characteristics.
8 . The method of claim 7 , further comprising classifying, by the one or more processors, the one or more emails as a newsletter type of email responsive the newsletter score being greater than a threshold.
9 . The method of claim 1 , wherein (c) further comprises modifying, by the one or more processors, the selected email to substitute an actionable link for a training link or to substitute an attachment with a training attachment.
10 . The method of claim 1 , wherein (c) further comprises modifying, by the one or more processors, the selected email to change one or more of the following: a body of the email, apparent or actual sender or apparent or actual recipient.
11 . A system for classifying email communications as a newsletter type of emails to use in a simulated phishing communication, the system comprising:
one or more processors, coupled to memory, and configured to:
identify one or more emails to classify as a newsletter type of email;
classify the one or more emails as the newsletter type of email based as least on one or more classification characteristics;
modify an email selected from the one or more emails classified as the newsletter type of email to provide a simulated phishing email newsletter; and
communicate, the simulated phishing email newsletter to one or more devices of one or more users.
12 . The system of claim 11 , wherein the one or more processors are further configured to intercept the one or more emails comprising a newsletter prior to delivery to a recipient.
13 . The system of claim 11 , wherein the one or more processors are further configured to identify the one or more emails comprising a newsletter stored in a storage.
14 . The system of claim 11 , wherein the at least one or more classification characteristics comprises one or more of the following: one or more keywords, an unsubscribe link, a sender address and an identifier of a newsletter platform.
15 . The system of claim 11 , wherein the at least one or more classification characteristics comprises one or more characteristics of known newsletters stored in a database.
16 . The system of claim 11 , wherein the one or more processors are further configured to classify the one or more emails as malicious or not malicious.
17 . The system of claim 11 , wherein the one or more processors are further configured to classify the one or more emails using a newsletter score comprising a weighted function of a keyword score and one or more scores for each of the one or more classification characteristics.
18 . The system of claim 17 , wherein the one or more processors are further configured to classify the one or more emails as a newsletter type of email responsive the newsletter score being greater than a threshold.
19 . The system of claim 11 , wherein the one or more processors are further configured to modify the selected email to substitute an actionable link for a training link or to substitute an attachment with a training attachment.
20 . The system of claim 11 , wherein the one or more processors are further configured to modify the selected email to change one or more of the following: a body of the email, apparent or actual sender or apparent or actual recipient.