Nikolas Pilavakis, Adam Jenkins, Nadin Kokciyan, Kami Vaniea (University of Edinburgh)

When people identify potential malicious phishing emails one option they have is to contact a help desk to report it and receive guidance. While there is a great deal of effort put into helping people identify such emails and to encourage users to report them, there is relatively little understanding of what people say or ask when contacting a help desk about such emails. In this work, we qualitatively analyze a random sample of 270 help desk phishing tickets collected across nine months. We find that when reporting or asking about phishing emails, users often discuss evidence they have observed or gathered, potential impacts they have identified, actions they have or have not taken, and questions they have. Some users also provide clear arguments both about why the email really is phishing and why the organization needs to take action about it.

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Ghost Domain Reloaded: Vulnerable Links in Domain Name Delegation...

Xiang Li (Tsinghua University), Baojun Liu (Tsinghua University), Xuesong Bai (University of California, Irvine), Mingming Zhang (Tsinghua University), Qifan Zhang (University of California, Irvine), Zhou Li (University of California, Irvine), Haixin Duan (Tsinghua University; QI-ANXIN Technology Research Institute; Zhongguancun Laboratory), Qi Li (Tsinghua University; Zhongguancun Laboratory)

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Replication: Do We Snooze If We Can't Lose? Modelling...

Karoline Busse (University of Bonn); Dominik Wermke (Leibniz University Hannover); Sabrina Amft (University of Bonn); Sascha Fahl (Leibniz University Hannover); Emanuel von Zezschwitz, Matthew Smith (University of Bonn)

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BinaryInferno: A Semantic-Driven Approach to Field Inference for Binary...

Jared Chandler (Tufts University), Adam Wick (Fastly), Kathleen Fisher (DARPA)

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PISE: Protocol Inference using Symbolic Execution and Automata Learning

Ron Marcovich, Orna Grumberg, Gabi Nakibly (Technion, Israel Institute of Technology)

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