Adam Doupé

Since the dawn of the web miscreants have used this new communication medium to defraud unsuspecting users. The most common of these attacks is phishing: creating a fake login form to steal username/passwords for high-value targets such as email, social networking, or financial services. This seemingly low-skill attack still, to this day, is responsible for vast amounts of fraud and harm.

In this talk, I will cover the history of the cat-and-mouse game of phishing, touching on why, after more than a decade of research, phishing attacks are still the most common ways that end-users are directly victimized and attacked. We will discuss the advanced nature of server-side cloaking employed by phishers, as well as the PhishFarm framework which allows us to empirically measure the effect of cloaking techniques on browser-based blocking. Then, we will discuss the first end-to-end measurement of a phishing timeline: from a phishing website being deployed to credentials being used fraudulently. Finally, we'll discuss how phishers have adapted to the COVID-19 pandemic and the next generation of sophisticated phishing attacks.

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From Library Portability to Para-rehosting: Natively Executing Microcontroller Software...

Wenqiang Li (State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; Department of Computer Science, the University of Georgia, USA; School of Cyber Security, University of Chinese Academy of Sciences; Department of Electrical Engineering and Computer Science, the University of Kansas, USA), Le Guan (Department of Computer Science, the University…

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POP and PUSH: Demystifying and Defending against (Mach) Port-oriented...

Min Zheng (Orion Security Lab, Alibaba Group), Xiaolong Bai (Orion Security Lab, Alibaba Group), Yajin Zhou (Zhejiang University), Chao Zhang (Institute for Network Science and Cyberspace, Tsinghua University), Fuping Qu (Orion Security Lab, Alibaba Group)

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PhantomCache: Obfuscating Cache Conflicts with Localized Randomization

Qinhan Tan (Zhejiang University), Zhihua Zeng (Zhejiang University), Kai Bu (Zhejiang University), Kui Ren (Zhejiang University)

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BrowserFM: A Feature Model-based Approach to Browser Fingerprint Analysis

Maxime Huyghe (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Clément Quinton (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Walter Rudametkin (Univ. Rennes, Inria, CNRS, UMR 6074 IRISA)

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