Machine Learning for Red Team Hackers
3h 24mIntermediate2025-06-12
Authors
Infosec Institute
Course details
Explore the ins and outs of hacking machine learning with the cybersecurity training experts at Infosec Institute. Deep dive into topics such as hacking a CAPTCHA system, fuzzing a target, evading malware detection, and attacking machine learning systems. Plus, learn about deepfakes and how to perform backdoor attacks on machine learning.
Skills covered
Penetration TestingSecurity TestingMachine LearningIncident ResponseArtificial Intelligence (AI)CybersecurityOne-Off
Concepts
Introduction
- Welcome to machine learning for Red Team hackers
- Introduction to course content
Hacking CAPTCHA Systems
- CAPTCHA breaking
- Reconnaissance
- Constructing a dataset
- Preprocessing the dataset
- Training a deep neural network
- Building a CAPTCHA breaking bot
Smart Fuzzing
- What is fuzzing
- Basic fuzzing and code coverage
- Mutation
- How to write your own evolutionary fuzzer
- Fuzzing with AFL
- Assignment - FuzzMe video
Evading Machine Learning Malware Classifiers
- Evading machine learning malware classifiers overview
- Meet a machine learning classifier
- Modifying PE files the easy way
- Evading a machine learning malware classifier
- Assignment - EvadeMe video
Adversarial Machine Learning
- Adversarial machine learning
- White-box attacks on machine learning
- Getting started with Clarif.AI
- Black-box attack on Clarif.AI
- Assignment - TrickMe video
Deepfake
- What is deepfake
- Deepfake dry run
- Setting up your deepfake rig
- Assignment - Deepfake video
Hacking Machine Learning
- Model-stealing attacks on machine learning
- Machine learninig poisoning
- Backdoor attacks on machine learning
- Assignment - Backdoor attacks on machine learning video