Extraction Phone Numbers Cross Platform Data Expansion Data Cleaning Filtered Dataset Suspended IDs OSN Posts Text Clustering Spam Campaigns
Cybercriminals abuse Online Social Networks (OSNs) to lure victims into a variety of spam. Among different spam types, a less explored area is OSN abuse that leverages the telephony channel to defraud users. Phone numbers are advertized via OSNs, and users are tricked into calling these numbers. To expand the reach of such scam spam campaigns, phone numbers are advertised across multiple platforms like Facebook, Twitter, GooglePlus, Flickr, and YouTube. In this paper, we present the first data driven characterization of cross platform campaigns that use multiple OSN platforms to reach their victims and use phone numbers for monetization. We collect ~23M posts containing ~1.8M unique phone numbers from Twitter, Facebook, GooglePlus, Youtube, and Flickr over a period of six months. Clustering these posts helps us identify 202 campaigns operating across the globe with Indonesia, United States, India, and United Arab Emirates being the most prominent originators. We find that even though Indonesian campaigns generate highest volume ~3.2M posts) only 1.6% of the accounts propagating Indonesian campaigns have been suspended so far. By examining campaigns running across multiple OSNs, we discover that Twitter detects and suspends ~93% more accounts than Facebook. Therefore, sharing intelligence about abuse related user accounts across OSNs can aid in spam detection. According to our dataset, around ~35K victims and $8.8M could have been saved if intelligence was shared across the OSNs. By analyzing phone number based spam campaigns running on OSNs, we highlight the unexplored variety of phone based attacks surfacing on OSNs.