Zubair Ahmad (Università Ca’ Foscari Venezia), Samuele Casarin (Università Ca’ Foscari Venezia), and Stefano Calzavara (Università Ca’ Foscari Venezia)

In this paper we perform the first empirical analysis of the use of web storage in the wild. By using dynamic taint tracking at the level of JavaScript and by performing an automated classification of the detected information flows, we shed light on the key characteristics of web storage uses in the Tranco Top 5k. Our analysis shows that web storage is routinely accessed by third parties, including known web trackers, who are particularly eager to have both read and write access to persistent web storage information. This motivates the need for further research on the security and privacy implications of web storage content.

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VPNInspector: Systematic Investigation of the VPN Ecosystem

Reethika Ramesh (University of Michigan), Leonid Evdokimov (Independent), Diwen Xue (University of Michigan), Roya Ensafi (University of Michigan)

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DITTANY: Strength-Based Dynamic Information Flow Analysis Tool for x86...

Walid J. Ghandour, Clémentine Maurice (CNRS, CRIStAL)

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Get a Model! Model Hijacking Attack Against Machine Learning...

Ahmed Salem (CISPA Helmholtz Center for Information Security), Michael Backes (CISPA Helmholtz Center for Information Security), Yang Zhang (CISPA Helmholtz Center for Information Security)

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FirmWire: Transparent Dynamic Analysis for Cellular Baseband Firmware

Grant Hernandez (University of Florida), Marius Muench (Vrije Universiteit Amsterdam), Dominik Maier (TU Berlin), Alyssa Milburn (Vrije Universiteit Amsterdam), Shinjo Park (TU Berlin), Tobias Scharnowski (Ruhr-University Bochum), Tyler Tucker (University of Florida), Patrick Traynor (University of Florida), Kevin Butler (University of Florida)

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