Detection of SSL / TLS malware beacons

1. A method for characterizing network traffic, the method comprising:

maintaining a database identifying a plurality of digital certificates and a count of a number of Internet Protocol addresses associated with each of the plurality of digital certificates;

capturing network traffic over a network connection at a network connected device;

analyzing the network traffic by determining the digital certificates associated with Internet Protocol addresses associated with the network traffic and the count of the number of Internet Protocol addresses associated with each of the digital certificates and updating the database; and

characterizing at least one of the Internet Protocol addresses associated with one of the digital certificates based on the count of the number of Internet Protocol addresses associated with the one of the digital certificates.

2. The method of claim 1 , further comprising:

performing an action based at least partially on the number of Internet Protocol addresses associated with the one of the digital certificates.

3. The method of claim 2 , wherein the characterizing comprises characterizing the at least one Internet protocol addresses as a security threat.

4. The method of claim 3 , wherein the action comprises blocking network traffic associated with the at least one of the Internet Protocol addresses associated with the one of the digital certificates.

5. The method of claim 2 , wherein the characterizing comprises characterizing the at least one of the Internet Protocol addresses as being associated with malware beaconing.

6. The method of claim 5 , wherein the action comprises displaying to a user the at least one Internet Protocol addresses associated with the malware beaconing.

7. The method of claim 2 , wherein the action comprises reconfiguring a firewall to prevent network connections to the at least one of the Internet Protocol addresses.

8. The method of claim 1 , further comprising:

representing the network traffic over the network connection as a set of tuples wherein each of the tuples defines a session and includes at least a source Internet Protocol address, a destination Internet Protocol address, and a destination port; associating timestamps with each of the set of tuples; and analyzing, using a computing device, the tuples using the timestamps based on frequency of connections and based on the certificates associated with the source Internet Protocol address and the number of Internet Protocol addresses associated with the server certificate.

9. The method of claim 8 , wherein the analyzing the set of tuples comprises performing a Fourier analysis.

10. The method of claim 9 , wherein the Fourier analysis is a discrete Fourier transform.

11. The method of claim 1 , wherein the characterizing comprises characterizing the at least one Internet protocol addresses as not being associated with an Internet of Things (IoT) device.

12. The method of claim 1 , wherein the characterizing comprises characterizing the at least one Internet protocol addresses as potentially being associated with an Internet of Things (IoT) device.

13. The method of claim 1 , wherein the certificates comprise secure sockets layer (SSL) server certificates.

14. The method of claim 1 wherein the certificates comprise transport layer security (TLS) server certificates.

15. A machine for monitoring network traffic in a network, the machine comprising:

a network connection for connecting to the network;

a non-transitory machine readable storage medium; and

a hardware processor operatively connected to the network connection and the machine readable storage medium;

wherein the non-transitory machine readable storage medium contains instructions for the hardware processor for maintaining a database identifying a plurality of digital certificates and a count of a number of Internet Protocol addresses associated with each of the plurality of digital certificates, capturing network traffic over a network connection at a network connected device, analyzing the network traffic by determining the digital certificates associated with Internet Protocol addresses associated with the network traffic and a count of a number of Internet Protocol addresses associated with each of the digital certificates and updating the database, and characterizing at least one of the Internet Protocol addresses associated with one of the digital certificates based on the count of the number of Internet Protocol addresses associated with the one of the digital certificates.

16. The machine of claim 15 , wherein the non-transitory machine readable storage medium contains instructions for the hardware processor for performing an action based at least partially on the number of Internet Protocol addresses associated with the one of the digital certificates.

17. The machine of claim 16 , wherein the characterizing comprises characterizing the at least one Internet protocol addresses as a security threat.

18. The machine of claim 16 , wherein the action comprises blocking network traffic associated with the at least one of the Internet Protocol addresses associated with the one of the digital certificates.

19. The machine of claim 16 , wherein the characterizing comprises characterizing a likelihood that the at least one Internet protocol addresses is associated with an Internet of Things (IoT) device.

20. The machine of claim 16 , wherein the digital certificates comprise at least one of secure sockets layer (SSL) server certificates and transport layer security (TLS) server certificates.