PRESALE - £700 £500
Machine Learning for Red Teams
Pre-enroll NOW for the only online & affordable Machine Learning course specifically for Red Teamers and security professionals.
Covering a wide range of material; Python & CSharp basics, Machine Learning Theory, build SharpML from scratch taught by the co-author, build an ML Web CMS analyzer, train a model for malware static evasion, Adversarial ML introduction, and more in the course - several years in the making.
OVERVIEW
A comprehensive Machine Learning course for security professionals
If you work in technology, Artificial Intelligence is now the THE topic being discussed. Across all segments of the corporate landscape, AI/ML will proliferate. This course will teach you the fundamentals from where you can build your own specialist knowledge.
By building practical tools, that you can use live in engagements, you will develop a strong understanding of how ML models work and how to code them. Our projects that we have built, and are building present some of what can be accomplished rapidly in cyber security:
What You Will Learn
A mixture of videos, exercises, reading, and fully fledged projects that you will build as part of the course will allow you to master the fundamentals of classical Machine Learning.
Python Basics
Many courses require knowledge of Python - we will teach you from ground-up.
Machine Learning Theory
Learn about Clutering & Classification, the maths behind it, ML theory and the theory around Neural Networks.
Adversarial ML
Learn about attacking Machine Learning models - here the focus is on AV & EDR engines static analysis.
Practical Tools
You will learn to build SharpML, and have two other projects to complete.
What You Will Build
1. Main Project - SharpML:
SharpML employes C# to mine Active Directory file shares, while bundling a resource file. This resource file is a custom Machine Learning algorithm written in Python (compiled with Pyinstaller) whose logic uses Clustering and Classification to evaluate the likelihood of a User / Password pair combinations and subsequently automatically test these against a Domain Controller to assist operators in identifying passwords littered on fileshares.
A version of this tool had been open-sourced when the team were running Hunnic Cyber but further developments have been made internally by Atlan Digital and you will recieve the umcompiled Machine Learning model as part of the training. (This project was also mentioned in conjunction with DeepPass developed by the eminent Harmj0y at SpectreOps; View here).
2. Macaronic Obfuscator for Static Evasion
You will build and train your own obfuscator for static evasion.
3. ML Development Environment
As part of the course you will have your ML development environment configured.
4. CMS Web Technologies Analyzer
Using a dataset that we will provide, you will develop a model to identify web technologies in HTML pages.
Contact Us
How can we help?
Whether you represent a corporate, a consultancy, a government or an MSSP, we’d love to hear from you. To discover just how our offensive security contractors could help, get in touch.