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 | Size | Format | |
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Measuring and Mitigating Oauth Access Token Abuse by Collusion Networks.pdf Restricted Access | 5.82 MB | Adobe PDF | View/Open Request a copy |
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