Bill Marczak

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I am a Senior Research Fellow at Citizen Lab, a co-founder of Bahrain Watch, and a Postdoctoral Researcher at UC Berkeley, where I received my PhD in Computer Science under the advisorship of Vern Paxson. My work focuses on novel technological threats to Internet freedom, including new censorship and surveillance tools. My expertise is in Internet scanning and conducting digital investigations. Coverage of my work has been featured in Vanity Fair, the New York Times, the Washington Post, on CNN, and on Larry King.

Articles

Nile Phish: Large-Scale Phishing Campaign Targeting Egyptian Civil Society

This report discusses the targeting of Egyptian NGOs by Nile Phish, a large-scale phishing campaign. Almost all of the targets we identified are also implicated in Case 173, a sprawling legal case brought by the Egyptian government against NGOs, which has been referred to as an “unprecedented crackdown” on Egypt’s civil society. Nile Phish operators demonstrate an intimate knowledge of Egyptian NGOs, and are able to roll out phishing attacks within hours of government actions, such as arrests.

Social Engineering Attacks on Government Opponents

Citizen Lab Senior Research Fellow Bill Marczak has co-authored a paper titled “Social Engineering Attacks on Government Opponents: Target Perspectives,” along with Vern Paxson of UC Berkeley.

Pay No Attention to the Server Behind the Proxy: Mapping FinFisher’s Continuing Proliferation

This post describes the results of Internet scanning we recently conducted to identify the users of FinFisher, a sophisticated and user-friendly spyware suite sold exclusively to governments. We devise a method for querying FinFisher’s “anonymizing proxies” to unmask the true location of the spyware’s master servers. Since the master servers are installed on the premises of FinFisher customers, tracing the servers allows us to identify which governments are likely using FinFisher. In some cases, we can trace the servers to specific entities inside a government by correlating our scan results with publicly available sources.