2 research outputs found
Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse
Domain squatting is a common adversarial practice where attackers register
domain names that are purposefully similar to popular domains. In this work, we
study a specific type of domain squatting called "combosquatting," in which
attackers register domains that combine a popular trademark with one or more
phrases (e.g., betterfacebook[.]com, youtube-live[.]com). We perform the first
large-scale, empirical study of combosquatting by analyzing more than 468
billion DNS records---collected from passive and active DNS data sources over
almost six years. We find that almost 60% of abusive combosquatting domains
live for more than 1,000 days, and even worse, we observe increased activity
associated with combosquatting year over year. Moreover, we show that
combosquatting is used to perform a spectrum of different types of abuse
including phishing, social engineering, affiliate abuse, trademark abuse, and
even advanced persistent threats. Our results suggest that combosquatting is a
real problem that requires increased scrutiny by the security community.Comment: ACM CCS 1
PeerRush : mining for unwanted P2P traffic
In this paper we present PeerRush, a novel system for the identification of unwanted P2P traffic. Unlike most previous work, PeerRush goes beyond P2P traffic detection, and can accurately categorize the detected P2P traffic and attribute it to specific P2P applications, including malicious applications such as P2P botnets. PeerRush achieves these results without the need of deep packet inspection, and can accurately identify applications that use encrypted P2P traffic.
We implemented a prototype version of PeerRush and performed an extensive evaluation of the system over a variety of P2P traffic datasets. Our results show that we can detect all the considered types of P2P traffic with up to 99.5% true positives and 0.1% false positives. Furthermore, PeerRush can attribute the P2P traffic to a specific P2P application with a misclassification rate of 0.68% or less