Beyond the Blacklists: Detecting Malicious URL Through Machine Learning

Дата: 08.01.2020. Автор: CISO CLUB. Категории: Подкасты и видео по информационной безопасности

Many types of modern malware utilize HTTP-based communications. Network-level behavioral signature/modeling in malware detection has some advantages, compared with traditional AV signature, or system-level behavioral models. Here we present a novel malware detection method based on URL behavioral modeling. The method has taken advantage of common practices of code re-use among many types of malware.

by Hao Dong and Jin Shang

Full Abstract & Presentation Materials:
https://www.blackhat.com/asia-17/briefings.html#beyond-the-blacklists-detecting-malicious-url-through-machine-learning

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