YoVDO

Improving Unicode Attacks With Deep Learning

Offered By: Hack In The Box Security Conference via YouTube

Tags

Hack In The Box Security Conference Courses Cybersecurity Courses Deep Learning Courses Transfer Learning Courses Vulnerability Analysis Courses

Course Description

Overview

Explore how deep learning and transfer learning can enhance unicode character-based attacks in this 46-minute conference talk from the Hack In The Box Security Conference. Discover the process of creating an optimal dictionary of confusables using a VGG16 model, enabling the development of sophisticated offensive tools and new application testing procedures. Examine the limitations of countermeasures for unicode encoding attacks, including methods to bypass punycode. Learn about inadequate validation in popular applications such as WhatsApp, Signal, Telegram, Skype, OpenOffice, and plagiarism detection software. Gain insights into the upcoming release of the Deepconfusables tool and the associated dictionary of unicode confusables.

Syllabus

#HITB2019AMS D2T2 - Improving Unicode Attacks With Deep Learning - Muñoz, Boza & Escribano


Taught by

Hack In The Box Security Conference

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX