Machine Learning for Red Team Hackers

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.7 GB
  • Uploaded BySource1337
  • Downloads225
  • Last checkedMay. 22nd '21
  • Date uploadedMay. 19th '21
  • Seeders 8
  • Leechers13

Infohash : 8F695E2EEB68246E067444CB9BEE2961FE382F55

Quote:

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without “Them”, you and we won’t be here having this conversation. Think about it! ☮️ Peace.✌️



Code:

What you'll learn
Learn how to make your fuzzing intelligent using AI
Learn how to evade machine learning malware classifiers
Learn how to perform adversarial attacks on machine learning
Learn how to break CAPTCHAs using machine learning
Learn how to create Deepfakes
Learn how to backdoor, poison and steal ML models
Requirements
Familiarity with Python
You will get more out of the course if you are familiar with blue team machine learning tactics (covered in Cybersecurity Data Science)
Description
Everyone knows that AI and machine learning are the future of penetration testing. Large cybersecurity enterprises talk about hackers automating and smartening their tools; The newspapers report on cybercriminals utilizing voice transfer technology to impersonate CEOs; The media warns us about the implications of DeepFakes in politics and beyond...



This course finally teaches you how to do and defend against all these things.

This course will be teaching you, in a hands-on and practical manner, how to use the Machine Learning to perform penetration testing attacks, and how to perform penetration testing attacks ON Machine Learning systems.



You will learn

how to supercharge your vulnerability fuzzing using Machine Learning.

how to evade Machine Learning malware classifiers.

how to perform adversarial attacks on commercially-available Machine Learning as a Service models.

how to bypass CAPTCHAs using Machine Learning.

how to create Deepfakes.

how to poison, backdoor and steal Machine Learning models.



And you will solidify your slick new skills in fun hands-on assignments.



I wish this course was for everyone but unfortunately it just ain’t so. You should enroll only if you are really passionate about computer security and want to be the best at what you do. This course will challenge you and introduce you to new ideas. It will offer you fun hands-on assignments that will require you to bypass CAPTCHA challenges, get your hands dirty and modify malware, fuzz a secretly-vulnerable program, trick a commercially-available machine learning as a service and create a realistic fake video. If this sounds exciting for you, then click the enroll button to get started!



Frequently Asked Questions And Answers

1. I’m not confident about my (python/cybersecurity/ML) skills.

We make it really easy to follow along (line-by-line, concept-by-concept) and believe you will learn a ton by enrolling in the course.



Here’s what one of our past students had to say:



"I found Emmanuel to be a likable easy to follow along with instructor..."

"I recently took Cybersecurity Data Science by Emmanuel Tsukerman. This was the first course I have ever seen to combine 2 of my passions (cyber security and data science). This was also my first exposure to Emmanuel. For whatever reason there is a clear scarcity of content on this topic. This is strange because cybersecurity produces so much data.

I really enjoyed the content, it was enough to give you a good overview of the topics he covers. I especially appreciate him teaching how to create a lab. Although I already had an idea how to do this it was great to see how an actual pro does it.

Overall it is a classic Udemy course: short and touching on a little bit of a lot topics just to give you a taste. I found Emmanuel to be a likable easy to follow along with instructor who has some good choice in music. I would definitely purchase another course that he teaches and I hope he will put out more CyberSecurity data content. The world is lacking in it and he is an expert. Thanks for reading!"

-Leon R., cybersecurity data scientist, BNY Mellon



If you find the course too challenging, we offer a 100% get-all-your-money-back guarantee within 30 days.



2. Where can I turn for help if I am stuck on some question/bug/concept?

Getting stuck on a challenge happens to all of us. If you have a question about the course, we provide you with a Q&A platform, where you can get your questions answered by the instructor or a classmate.



Here is what one of our former students had to say about our courses:



"This course is well suited for both beginners and experienced individuals who wish to explore this area of application."

- Olatunji O., Security Architect, IBRD



In case you find the course too challenging, we offer a 100% get-all-your-money-back guarantee within 30 days.

Don't get left behind - learn the tools of the future now in the Machine Learning for Red Team Hackers Course! Enroll to get started now.

Who this course is for:
Cybersecurity professionals and hobbyists looking to learn the next-generation of attack techniques
Data Scientists interested in learning use-cases of machine learning in cybersecurity

Files:

Machine Learning for Red Team Hackers 5. Adversarial Machine Learning
  • 4. Black-Box Attack On Clarif.AI.mp4 (179.3 MB)
  • 1. Intro - Adversarial Machine Learning.mp4 (22.6 MB)
  • 1. Intro - Adversarial Machine Learning.srt (2.4 KB)
  • 2. White-Box Attacks On Machine Learning.mp4 (53.3 MB)
  • 2. White-Box Attacks On Machine Learning.srt (7.8 KB)
  • 3. Getting Started With Clarif.AI.mp4 (31.3 MB)
  • 3. Getting Started With Clarif.AI.srt (2.7 KB)
  • 4. Black-Box Attack On Clarif.AI.srt (26.1 KB)
  • 5. TrickMe.mp4 (13.7 MB)
  • 5. TrickMe.srt (0.8 KB)
1. Introduction
  • 1. Introduction to Course Content.srt (2.2 KB)
  • 2. Code Repository.html (0.2 KB)
  • 1. Introduction to Course Content.mp4 (36.9 MB)
2. Hacking CAPTCHA Systems
  • 1. Intro - CAPTCHA Breaking.mp4 (3.9 MB)
  • 1. Intro - CAPTCHA Breaking.srt (0.4 KB)
  • 2. Reconnaissance.mp4 (28.4 MB)
  • 2. Reconnaissance.srt (3.5 KB)
  • 3. Constructing A Dataset.mp4 (63.9 MB)
  • 3. Constructing A Dataset.srt (7.5 KB)
  • 4. Preprocessing The Dataset.mp4 (171.8 MB)
  • 4. Preprocessing The Dataset.srt (21.8 KB)
  • 5. Training A Deep Neural Network.mp4 (86.9 MB)
  • 5. Training A Deep Neural Network.srt (13.2 KB)
  • 6. Building A CAPTCHA Breaking Bot.mp4 (41.3 MB)
  • 6. Building A CAPTCHA Breaking Bot.srt (6.1 KB)
  • 7. FoolMe.html (0.1 KB)
3. Smart Fuzzing
  • 1. Intro - What Is Fuzzing.mp4 (23.6 MB)
  • 1. Intro - What Is Fuzzing.srt (1.4 KB)
  • 2. Basic Fuzzing And Code Coverage.mp4 (56.8 MB)
  • 2. Basic Fuzzing And Code Coverage.srt (11.4 KB)
  • 3. Mutation.mp4 (60.5 MB)
  • 3. Mutation.srt (9.4 KB)
  • 4. How To Write Your Own Evolutionary Fuzzer.mp4 (125.9 MB)
  • 4. How To Write Your Own Evolutionary Fuzzer.srt (20.4 KB)
  • 5. Fuzzing With AFL.mp4 (113.4 MB)
  • 5. Fuzzing With AFL.srt (6.7 KB)
  • 6. FuzzMe.html (0.1 KB)
  • 7. You Can Boost Brain Power.html (0.1 KB)
4. Evading Machine Learning Malware Classifiers
  • 1. Intro - Evading Machine Learning Malware Classifiers.mp4 (25.5 MB)
  • 1. Intro - Evading Machine Learning Malware Classifiers.srt (1.9 KB)
  • 2. Meet A Machine Learning Malware Classifier.mp4 (77.6 MB)
  • 2. Meet A Machine Learning Malware Classifier.srt (5.3 KB)
  • 3. Modifying PE Files The Easy Way.mp4 (18.9 MB)
  • 3. Modifying PE Files The Easy Way.srt (3.8 KB)
  • 4. Evading A Machine Learning Malware Classifier.mp4 (91.8 MB)
  • 4. Evading A Machine Learning Malware Classifier.srt (11.0 KB)
  • 5. EvadeMe.mp4 (7.6 MB)
  • 5. EvadeMe.srt (0.6 KB)
6. Deepfake
  • 1. Intro - What Is Deepfake.mp4 (38.5 MB)
  • 1. Intro - What Is Deepfake.srt (4.6 KB)
  • 2. Deepfake Crime.html (0.3 KB)
  • 3. Deepfake Dry Run.mp4 (148.2 MB)
  • 3. Deepfake Dry Run.srt (20.5 KB)
  • 4. Setting Up Your Deepfake Rig.mp4 (84.8 MB)
  • 4. Setting Up Your Deepfake Rig.srt (9.8 KB)
  • 5. Deepfake Assignment.mp4 (5.9 MB)
  • 5. Deepfake Assignment.srt (0.3 KB)
  • 6. Deepfake Assignment.html (0.1 KB)
7. Hacking Machine Learning
  • 1. Model Stealing Attacks On ML.mp4 (34.4 MB)
  • 1. Model Stealing Attacks On ML.srt (8.6 KB)
  • 2. Machine Learning Poisoning.mp4 (55.0 MB)
  • 2. Machine Learning Poisoning.srt (6.3 KB)
  • 3. Backdoor Attacks On ML.mp4 (26.8 MB)
  • 3. Backdoor Attacks On ML.srt (2.8 KB)
  • 4. Backdoor Attacks On ML Assignment.html (0.1 KB)
  • 5. Seagate Expansion Desktop 10TB External Hard Drive HDD - USB 3.0.html (0.1 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.moeking.me:6969/announce
  • http://tracker-cdn.moeking.me:2095/announce
  • udp://wassermann.online:6969/announce
  • udp://vibe.community:6969/announce
  • udp://valakas.rollo.dnsabr.com:2710/announce
  • udp://udp-tracker.shittyurl.org:6969/announce
  • udp://tracker1.bt.moack.co.kr:80/announce
  • udp://tracker0.ufibox.com:6969/announce
  • udp://tracker.zerobytes.xyz:1337/announce
  • udp://tracker.zemoj.com:6969/announce
  • udp://tracker.v6speed.org:6969/announce
  • udp://tracker.uw0.xyz:6969/announce