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Machine Learning for Pentesting

Employ machine learning to take your penetration testing to the next level by unlocking information and access thought impenetrable before.

4 videos  //  18 minutes of training

Course description

This course will take your penetration testing to the next level by enriching your toolkit with machine learning-based methods. You will learn how to perform neural network-assisted fuzzing, how to break CAPTCHA systems and how to deanonymize the browsing activity of Tor users. You will unlock information and access thought impenetrable before.

Course syllabus

OverviewDuration: 0:45

CAPTCHA BreakingDuration: 6:22

Neural Network Assisted FuzzingDuration: 4:26

Deanonymizing TorDuration: 6:24

Meet the author

Emmanuel Tsukerman


Dr. Tsukerman graduated from Stanford University and UC Berkeley. In 2017, his machine-learning-based anti-ransomware product won Top 10 Ransomware Products by PC Magazine. In 2018, he designed a machine-learning-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Dr. Tsukerman authored the Machine Learning for Cybersecurity Cookbook and launched Infosec Skills Cybersecurity Data Science learning path.

You're in good company

"Comparing Infosec to other vendors is like comparing apples to oranges. My instructor was hands-down the best I’ve had." 

James Coyle

FireEye, Inc.

"I knew Infosec could tell me what to expect on the exam and what topics to focus on most."

Julian Tang

Chief Information Officer

"I’ve taken five boot camps with Infosec and all my instructors have been great."

Jeffrey Coa

Information Security Systems Officer

Plans and pricing





$599 / license

Annually. Includes all content plus team admin and reporting.