Abusing Social Networks for Automated User Profiling

  title={Abusing Social Networks for Automated User Profiling},
  author={Marco Balduzzi and Christian Platzer and Thorsten Holz and Engin Kirda and Davide Balzarotti and Christopher Kr{\"u}gel},
Recently, social networks such as Facebook have experienced a huge surge in popularity. The amount of personal information stored on these sites calls for appropriate security precautions to protect this data. In this paper, we describe how we are able to take advantage of a common weakness, namely the fact that an attacker can query popular social networks for registered e-mail addresses on a large scale. Starting with a list of about 10.4 million email addresses, we were able to automatically… CONTINUE READING
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