Systems and methods for blocking targeted attacks using domain squatting
Systems and methods for identifying and addressing domains suspected as malicious domains used for targeted attacks in a cloud-based system include receiving valid domains; receiving an unidentified domain; comparing the unidentified domain to the valid domains to derive a distance calculation of the unidentified domain to each of the valid domains; determining whether the unidentified domain is a cybersquatting attempt of one of the valid domains based on the comparing; and, responsive to the determining the unidentified domain is a cybersquatting attempt, one of notifying an operator/user and blocking the unidentified domain in the cloud-based system.
1. A method for identifying and addressing domains suspected as malicious domains used for targeted attacks in a cloud-based system, the method comprising:
in the cloud-based system, receiving valid domains;
receiving an unidentified domain from a user that is monitored by the cloud-based system such that all Web traffic by the user is monitored by the cloud-based system on a sliding scale between always inline for all Web traffic, somewhat inline for some of the Web traffic, and never inline where the Web traffic is monitored based on Domain Name System (DNS);
comparing the unidentified domain to the valid domains to derive a distance calculation of the unidentified domain to each of the valid domains, wherein the distance calculation is a combination of normalized results from a plurality of distance computations, wherein the plurality of distance are weighted and combined, and wherein weights are dynamically adjusted based on history of detection through the cloud-based system to fine tune detection;
determining whether the unidentified domain is a cybersquatting attempt of one of the valid domains based on the comparing; and
responsive to the determining the unidentified domain is a cybersquatting attempt, notifying an operator/user and blocking the unidentified domain in the cloud-based system.
2. The method of claim 1 , wherein the plurality of distance computations comprise Levenshtein Distance, Sørensen-Dice Coefficient, and Jaccard index.
3. The method of claim 1 , wherein the comparing further comprises analysis of a Top Level Domain (TLD) of the unidentified domain compared to TLDs of the valid domains.
4. The method of claim 1 , wherein the comparing further comprises a determination of whether the unidentified domain was newly registered.
5. The method of claim 1 , wherein the valid domains comprise a top N of domains, N is an integer.
6. The method of claim 1 , wherein the valid domains comprise a specific customer's domain.
7. The method of claim 1 , wherein the unidentified domain is received in the cloud-based system as part of ongoing monitoring.
8. The method of claim 1 , wherein the unidentified domain is received from newly registered domains with a domain registrar.
9. A server in a cloud-based system for identifying and addressing domains suspected as malicious domains used for targeted attacks, the server comprising:
a network interface, a data store, and a processor communicatively coupled to one another, and memory storing computer executable instructions, and in response to execution by the processor, the computer-executable instructions cause the processor to perform steps of
receiving valid domains;
receiving, via the network interface, an unidentified domain from a user that is monitored by the cloud-based system such that all Web traffic by the user is monitored by the cloud-based system on a sliding scale between always inline for all Web traffic, somewhat inline for some of the Web traffic, and never inline where the Web traffic is monitored based on Domain Name System (DNS);
comparing the unidentified domain to the valid domains to derive a distance calculation of the unidentified domain to each of the valid domains, wherein the distance calculation is a combination of normalized results from a plurality of distance computations, wherein the plurality of distance are weighted and combined, and wherein weights are dynamically adjusted based on history of detection through the cloud-based system to fine tune detection;
determining whether the unidentified domain is a cybersquatting attempt of one of the valid domains based on the comparing; and
responsive to the determining the unidentified domain is a cybersquatting attempt, notifying an operator/user and blocking the unidentified domain in the cloud-based system.
10. The server of claim 9 , wherein the plurality of distance computations comprise Levenshtein Distance, Sørensen-Dice Coefficient, and Jaccard index.
11. The server of claim 9 , wherein the comparing further comprises analysis of a Top Level Domain (TLD) of the unidentified domain compared to TLDs of the valid domains.
12. The server of claim 9 , wherein the comparing further comprises a determination of whether the unidentified domain was newly registered.
13. The server of claim 9 , wherein the valid domains comprise a top N of domains, N is an integer.
14. The server of claim 9 , wherein the valid domains comprise a specific customer's domain.
15. The server of claim 9 , wherein the unidentified domain is received in the cloud-based system as part of ongoing monitoring.
16. The server of claim 9 , wherein the unidentified domain is received from newly registered domains with a domain registrar.
17. A non-transitory computer readable medium comprising instructions that, when executed, cause one or more processors to perform steps of:
in a cloud-based system, receiving valid domains;
receiving an unidentified domain from a user that is monitored by the cloud-based system such that all Web traffic by the user is monitored by the cloud-based system on a sliding scale between always inline for all Web traffic, somewhat inline for some of the Web traffic, and never inline where the Web traffic is monitored based on Domain Name System (DNS);
comparing the unidentified domain to the valid domains to derive a distance calculation of the unidentified domain to each of the valid domains, wherein the distance calculation is a combination of normalized results from a plurality of distance computations, wherein the plurality of distance are weighted and combined, and wherein weights are dynamically adjusted based on history of detection through the cloud-based system to fine tune detection;
determining whether the unidentified domain is a cybersquatting attempt of one of the valid domains based on the comparing; and
responsive to the determining the unidentified domain is a cybersquatting attempt, notifying an operator/user and blocking the unidentified domain in the cloud-based system.