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 ResponseCybersecurityArtificial Intelligence (AI)One-Off

Concepts

0. Introduction

01 - Welcome to machine learning for Red Team hackers
02 - Introduction to course content

1. Hacking CAPTCHA Systems

03 - CAPTCHA breaking
04 - Reconnaissance
05 - Constructing a dataset
06 - Preprocessing the dataset
07 - Training a deep neural network
08 - Building a CAPTCHA breaking bot

2. Smart Fuzzing

09 - What is fuzzing
10 - Basic fuzzing and code coverage
11 - Mutation
12 - How to write your own evolutionary fuzzer
13 - Fuzzing with AFL
14 - Assignment - FuzzMe video

3. Evading Machine Learning Malware Classifiers

15 - Evading machine learning malware classifiers overview
16 - Meet a machine learning classifier
17 - Modifying PE files the easy way
18 - Evading a machine learning malware classifier
19 - Assignment - EvadeMe video

4. Adversarial Machine Learning

20 - Adversarial machine learning
21 - White-box attacks on machine learning
22 - Getting started with Clarif.AI
23 - Black-box attack on Clarif.AI
24 - Assignment - TrickMe video

5. Deepfake

25 - What is deepfake
26 - Deepfake dry run
27 - Setting up your deepfake rig
28 - Assignment - Deepfake video

6. Hacking Machine Learning

29 - Model-stealing attacks on machine learning
30 - Machine learninig poisoning
31 - Backdoor attacks on machine learning
32 - Assignment - Backdoor attacks on machine learning video