METHODS FOR AUTOMATED SOCIAL PHISHING
A computer-implemented method includes scanning, by one or more processors, data that is maintained on one or more social networks, analyzing the scanned data using one or more machine learning techniques, generating custom content associated with a target social entity, initiating interaction with the target social entity, where initiating interaction with the target social entity includes, posting, by the one or more processors, a form of the generated custom content associated with the target social entity to one or more of the target social entity's social networks.
1 . A computer-implemented method comprising:
scanning, by one or more processors, data that is maintained on one or more social networks;
analyzing the scanned data using one or more machine learning techniques;
generating custom content associated with a target social entity;
initiating interaction with the target social entity, wherein initiating interaction with the target social entity comprises, posting, by the one or more processors, a form of the generated custom content associated with the target social entity to one or more of the target social entity's social networks.
2 . The method of claim 1 wherein scanning, by one or more processors, data that is maintained on one or more social networks comprises identifying, by one or more processors, data that is associated with one or more social entities.
3 . The method of claim 1 wherein analyzing, by the one or more processors, using one or more machine learning techniques, the scanned data comprises, analyzing the scanned data using long short-term memory neural networks algorithms.
4 . The method of claim 1 wherein analyzing, by the one or more processors, using one or more machine learning techniques, the scanned data comprises, analyzing the scanned data using one or more models.
5 . The method of claim 1 wherein analyzing the scanned data using one or more machine learning techniques comprises analyzing scanned data in one or more different languages.
6 . The method of claim 1 further comprising:
detecting, by one or more processors, a selection of the form of the generated custom content by one or more social entities across one or more social networks.
7 . The method of claim 1 wherein posting, by the one or more processors, a form of the generated custom content associated with the target social entity to one or more of the target social entity's social networks comprises posting a URL to one or more of the target social entity's social networks,
detecting, by one or more processors, a selection of the URL by one or more social entities across one or more social networks, and
directing the one or more social entities to a particular location.
8 . The method of claim 7 further comprising:
generating, by the one or more processors, a notification based on the detection of the selection of the generated URL by the one or more social entities.
9 . The method of claim 1 wherein the form of the generated custom content associated with the target social entity comprises a URL and custom targeted content.
10 . A system comprising:
one or more processing devices; and
one or more non-transitory computer-readable media coupled to the one or more processing devices having instructions stored thereon which, when executed by the one or more processing devices, cause the one or more processing devices to perform operations comprising:
scanning, by one or more processors, data that is maintained on one or more social networks;
analyzing the scanned data using one or more machine learning techniques;
generating custom content associated with a target social entity;
initiating interaction with the target social entity, wherein initiating interaction with the target social entity comprises, posting, by the one or more processors, a form of the generated custom content associated with the target social entity to one or more of the target social entity's social networks.
11 . The system of claim 10 wherein scanning, by one or more processors, data that is maintained on one or more social networks comprises identifying, by one or more processors, data that is associated with one or more social entities.
12 . The system of claim 10 wherein analyzing, by the one or more processors, using one or more machine learning techniques, the scanned data comprises, analyzing the scanned data using long short-term memory neural networks algorithms.
13 . The system of claim 10 wherein analyzing, by the one or more processors, using one or more machine learning techniques, the scanned data comprises, analyzing the scanned data using one or more models.
14 . The system of claim 10 wherein analyzing the scanned data using one or more machine learning techniques comprises analyzing scanned data in one or more different languages.
15 . The system of claim 10 further comprising:
detecting, by one or more processors, a selection of the form of the generated custom content by one or more social entities across one or more social networks.
16 . The system of claim 10 wherein posting, by the one or more processors, a form of the generated custom content associated with the target social entity to one or more of the target social entity's social networks comprises posting a URL to one or more of the target social entity's social networks,
detecting, by one or more processors, a selection of the URL by one or more social entities across one or more social networks, and
directing the one or more social entities to a particular location.
17 . The system of claim 16 further comprising:
generating, by the one or more processors, a notification based on the detection of the selection of the generated URL by the one or more social entities.
18 . The system of claim 10 wherein the form of the generated custom content associated with the target social entity comprises a URL and custom targeted content.
19 . A non-transitory computer-readable storage medium encoded with a computer program, the program comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising:
scanning, by one or more processors, data that is maintained on one or more social networks;
analyzing the scanned data using one or more machine learning techniques;
generating custom content associated with a target social entity;
initiating interaction with the target social entity, wherein initiating interaction with the target social entity comprises, posting, by the one or more processors, a form of the generated custom content associated with the target social entity to one or more of the target social entity's social networks.
20 . The medium of claim 19 wherein scanning, by one or more processors, data that is maintained on one or more social networks comprises identifying, by one or more processors, data that is associated with one or more social entities.