Breaking fraud & bot detection solutions
Mayank Dhiman at AppSec USA 2018
Browser fingerprinting and user behavior tracking are powerful techniques used by most fraud and bot detection solutions. These are implemented via JavaScript snippets running in the user browser. In this presentation, we’ll demystify the signals these snippets collect and describe why these signals are unreliable. Using a realistic threat model, we’ll describe various attacks against defenses relying on these signals. Finally, we'll share war stories of architectural and implementation flaws we found in real world deployments.
Speaker
Mayank Dhiman
Security Engineer, Dropbox
Mayank is a security researcher with an extensive background in network security, fraud/abuse prevention, threat intelligence and authentication. His research on browser fingerprinting and passive network fingerprinting has helped build rule-based systems and ML models to tackle fraud.
Speaker
Mayank Dhiman
Security Engineer, Dropbox
Mayank is a security researcher with an extensive background in network security, fraud/abuse prevention, threat intelligence and authentication. His research on browser fingerprinting and passive network fingerprinting has helped build rule-based systems and ML models to tackle fraud.