1.【论文分享】BEYOND PHISH: Toward Detecting Fraudulent e-Commerce Websites at Scale

• Presenter: 刘一静

• Conference: S&P '23

• Authors: Marzieh Bitaab, Haehyun Cho, Adam Oest

• Abstract: This paper propose an efficient and automated approach to gather fraudulent e-commerce websites through crowdsourcing, introduce the characteristics of FCWs and proposes an effective detection model.

• Link to paper: https://adamdoupe.com/publications/beyondphish-oakland2023.pdf

2.【论文分享】SEGFUZZ: Segmentizing Thread Interleaving to Discover Kernel Concurrency Bugs through Fuzzing

• Presenter: 张书樵

• Conference: S&P '23

• Authors: Dae R. Jeong, Byoungyoung Lee, Insik Shin

• Abstract: SEGFUZZ is a novel fuzzing framework designed to detect kernel concurrency bugs by decomposing thread interleavings into segments and utilizing them for more efficient coverage as feedback.

• Link to paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10179398