Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/9866
Title: Measuring and Mitigating Oauth Access Token Abuse By Collusion Networks
Authors: Shehroze Farooqi
Fareed Zaffar
Issue Date: 2020
Publisher: Communications of the ACM
Abstract: We uncovered a thriving ecosystem of large-scale reputation manipulation services on Facebook that leverage the principle of collusion. Collusion networks collect OAuth access tokens from colluding members and abuse them to provide fake likes or comments to their members. We carried out a comprehensive measurement study to understand how these collusion networks exploited popular third-party Face book applications with weak security settings to retrieve OAuth access tokens. We infiltrated popular collusion networks using honeypots and identified more than one million colluding Facebook accounts by "milking" these collusion networks. We disclosed our findings to Facebook and collaborated with them to implement a series of countermeasures that mitigated OAuth access token abuse without sacrificing application platfom1 usability for third-party developers.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/9866
Appears in Collections:Articles to be qced

Files in This Item:
File SizeFormat 
Measuring and Mitigating Oauth Access Token Abuse by Collusion Networks.pdf
  Restricted Access
5.82 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.