Here we present a behavioral analysis of fast flux service networks (FFSNs) using our database of FFSNs collected over a period of 9 months. FFSNs exploit a network of compromised machines (zombies) for illegal activities such as spam campaigns, phishing scams and malware delivery using DNS record manipulation techniques. In this paper, we use our fast flux domain and IP database collected using our real-time fast flux network detection algorithm to analyze the behavior of fast flux networks [1]. Our results show that such networks share common lifecycle characteristics, and form clusters based on size, growth and type of malicious behavior.
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