Automated social media-related brand protection
A method for defending against malicious profiles on the web, the method including: i) inspecting a profile to determine its relevance to a brand that it is desired to protect from malicious activity; ii) determining whether said profile is relevant to said brand; iii) if it is determined that said profile is relevant, analyzing it to determine whether it is legitimate or malicious; and iv) if it is determined that the profile is malicious, assembling proof of its malicious activity and submitting same together with a takedown request to the administrator of the website where the profile was located.
1. A method for defending against malicious profiles on the web, comprising:
using circuitry to perform:
determining whether a profile identified from a website is relevant to a brand;
when it is determined that the profile is relevant to the brand, analyzing the profile to determine whether the profile is a legitimate profile or a malicious profile; and
when it is determined that the profile is a malicious profile, assembling proof of malicious activity associated with the profile and submitting the assembled proof and a takedown request to an administrator of the website,
wherein analyzing the profile to determine whether the profile is a legitimate profile or a malicious profile comprises:
analyzing parameters of the profile, the analyzing comprising determining a value for each of the parameters of the profile;
based on results of analyzing the parameters of the profile, assigning a respective probability that the profile is a malicious profile to each of the parameters by comparing the determined value for each parameter to a respective threshold and assigning the respective probability to each parameter based on results of the comparing of the determined value and the respective threshold;
determining a combined probability by combing the respective probability of each of the parameters; and
determining the profile is a malicious profile when the combined probability exceeds a threshold.
2. The method according to claim 1 , wherein determining whether the profile identified from the website is relevant to the brand comprises:
generating a list of items from information in the profile; and
determining whether the profile identified from the website is relevant to the brand using the list of items.
3. The method according to claim 2 , wherein the list of items includes items selected from names, sentences, terms, logos and images, contained within the profile.
4. The method according to claim 2 , wherein determining whether the profile identified from the website is relevant to the brand using the list of items comprises:
comparing the list of items with a predetermined list of brand related items; and
determining whether the profile is relevant to the brand based on results of the comparing.
5. The method according to claim 1 , further comprising:
prior to determining whether the profile identified from the website is relevant to the brand, searching, using a web crawler, the website to identify the profile, based on a name of the brand and images associated with the brand.
6. The method according to claim 1 , wherein the parameters of the profile include: a level of activity, a creation date, a level of engagement, a number of friends listed on the profile, a number of photographs uploaded to the profile, and a number of likes of the profile.
7. A system for defending against malicious profiles on the web, comprising:
circuitry configured to perform:
determining whether a profile identified from a website is relevant to a brand;
when it is determined that the profile is relevant to the brand, analyzing the profile to determine whether the profile is a legitimate profile or a malicious profile; and
when it is determined that the profile is a malicious profile, assembling proof of malicious activity associated with the profile and submitting the assembled proof and a takedown request to an administrator of the website,
wherein analyzing the profile to determine whether the profile is a legitimate profile or a malicious profile comprises:
analyzing parameters of the profile, the analyzing comprising determining a value for each of the parameters of the profile;
based on results of analyzing the parameters of the profile, assigning a respective probability that the profile is a malicious profile to each of the parameters by comparing the determined value for each parameter to a respective threshold and assigning the respective probability to each parameter based on results of the comparing of the determined value and the respective threshold;
determining a combined probability by combing the respective probability of each of the parameters; and
determining the profile is a malicious profile when the combined probability exceeds a threshold.
8. The system of claim 7 , wherein determining whether the profile identified from the website is relevant to the brand comprises:
generating a list of items from information in the profile; and
determining whether the profile identified from the website is relevant to the brand using the list of items.
9. The system of claim 8 , wherein the list of items includes items selected from names, sentences, terms, logos and images, contained within the profile.
10. The system of claim 8 , wherein determining whether the profile identified from the website is relevant to the brand using the list of items comprises:
comparing the list of items with a predetermined list of brand related items; and
determining whether the profile is relevant to the brand based on results of the comparing.
11. The system of claim 7 , wherein the parameters of the profile include: a level of activity, a creation date, a level of engagement, a number of friends listed on the profile, a number of photographs uploaded to the profile, and a number of likes of the profile.
12. The system according to claim 7 , wherein the circuitry is further configured to perform: prior to determining whether the profile identified from the website is relevant to the brand, searching, using a web crawler, the website to identify the profile, based on a name of the brand and images associated with the brand.