Malware Forensics V2: Classic&Ai/Chatgpt In Decoding&Evasion

Harnessing Classic Techniques, AI Strategies, and ChatGPT for Comprehensive Malware Analysis

What you'll learn

Malware Forensics

Malware Analysis, Intrusion and Prediction

Digital Forensics

Static Malware Analysis

Cloud-Based Malware Analysis

Malware Forensics using AI

Static Malware Analysis with AI

Reverse Engineering using AI

Assembly analysis using ChatGPT

Malware Analysis with ChatGPT

Malware Decoding

Malware Evasion Analysis

Encrypted Malware Analysis

Requirements

Basic knowledge of Python will be good

Basic Knowledge of Machine Learning and AI will be good

But everything will be taught from the round up

Description

"Dive into the dynamic realm of cybersecurity with our in-depth course, 'Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis' Tailored for both professionals and enthusiasts, this course blends classic techniques with AI and ChatGPT innovations, providing you with essential skills for comprehensive malware analysis and the foresight to anticipate emerging threats.Chapter 1: Introduction to AI-Driven Malware ForensicsEmbark on your journey with an overview of AI in cybersecurity. Understand AI's crucial role in revealing malware intricacies, setting a solid foundation in malware forensics, and outlining the course objectives.Chapter 2: Decoding the Hidden - Unpacking and Analyzing Encoded MalwareDelve into the complexities of encoded malware. Master malware obfuscation and evasion techniques through hands-on labs employing UPX, PEiD, and EXEinfo PE. Learn to decode executables and analyze packed malware, gaining insights from encoded files.Chapter 3: Advanced Evasion Techniques and Analyzing Encrypted MalwareNavigate through advanced evasion strategies and encrypted malware analysis. Engage in practical labs to understand encrypted malware analysis, payload encryption, and behavioral analysis of encrypted executables, enhancing your response to sophisticated evasion techniques.Chapter 4: AI  & ChatGPT Driven Malware Analysis : Static Techniques to Reverse EngineeringFocus on integrating AI and ChatGPT for analyzing malware, from fundamental static file analysis to advanced predictive modeling. Labs featuring AI, neural networks, and random forest regressors will deepen your understanding of malware impact prediction and ChatGPT-Assisted Reverse Engineering in Malware Assembly Analysis.Chapter 5: Advancing into Next-Gen ChatGPT and AI-Driven Malware AnalysisConclude with a detailed recap and integration of learned concepts. Get a glimpse into advanced AI-driven malware analysis topics, preparing you for continuous learning in this rapidly evolving field."Throughout the course, hands-on labs will provide practical experience and this course is not just about learning; it's about mastering the tools and techniques that will keep you one step ahead in the cybersecurity arena. Enroll now to transform your understanding of malware and fortify your skills in the AI-driven world of cyber defense.There will also be the inclusion of :Lifetime Access to The CourseQuick and Friendly Support in the Q&A sectionUdemy Certificate of Completion Enroll now and become a cybersecurity expert with the power of AI on your side!See you in the "Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis." course!With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.   

Overview

Section 1: Malware Forensics : Classic Strategies and AI-Driven Techniques

Lecture 1 Harnessing AI in Malware Forensics

Lecture 2 Overview of Malware Forensics and Essential Tools

Lecture 3 The Role of AI in Uncovering Malware Secrets

Section 2: Decoding the Hidden: Unpacking and Analyzing Encoded Malware

Lecture 4 Malware Obfuscation and Evasion Techniques

Lecture 5 Lab Exercise : Encoding Executable Files with UPX

Lecture 6 Demystifying Executables Insights into PEiD

Lecture 7 Lab Exercise: Analyzing Encoded Malicious Executables with PEiD

Lecture 8 Decoding Executable with EXEinfo PE

Lecture 9 Lab Exercise : Insights into Encoded Executable File with EXEinfoPE

Lecture 10 Lab Exercise : Decoding UPX-Packed Malware with VirusTotal Analysis

Lecture 11 Lab Exercise : Dissecting UPX-Packed Malware with Jotti's Virus Scan

Section 3: Advanced Evasion Techniques and Analyzing Encrypted Malware

Lecture 12 Advanced Malware Evasion Techniques

Lecture 13 Unveiling the Cloak: Malware Evasion and Detection Strategies

Lecture 14 LAB : Encrypted Malware Executable File Analysis by VT VSJ

Lecture 15 LAB : Payload Encryption Malware Analysis

Lecture 16 LAB : Partial File Encryption (Payload Injection) Malware Analysis

Lecture 17 Unveiling Hidden Malware: Techniques for Behavioral Analysis of Encrypted Execut

Lecture 18 Navigating the Blind Spots: Strategies for Responses to Malware Evasion Techniqu

Section 4: AI & ChatGPT Driven Malware Analysis : Static Techniques to Reverse Engineering

Lecture 19 Fundamentals of Static Malware File Analysis

Lecture 20 Advanced Predictive Modeling Techniques in Malware Analysis

Lecture 21 Key Static Features Identification for Enhanced AI Malware Analysis

Lecture 22 Lab Exercise: AI in Static Malware Analysis

Lecture 23 Lab Exercise: Neural Networks in Static Malware Analysis

Lecture 24 Lab Exercise: Utilizing Random Forest Regressors in Malware Impact Prediction

Lecture 25 Lab Exercise: ChatGPT-Assisted Reverse Engineering in Malware Assembly Analysis

Section 5: AI in Malware Forecasting: Beyond Detection to Predicting Malware Intrusions

Lecture 26 Correlation Analysis in Multi-Stage Malware Detection

Lecture 27 Lab: Heatmap Visualization of Feature Correlations in Malware Detection

Lecture 28 Proactive Prediction Techniques for Malware Threats

Lecture 29 Evolving Malware Threat Forecasting: Advanced Time Series Analysis

Lecture 30 Lab: Time Series Analysis (TSA) in Forecasting Future Malware Threats

Section 6: Advancing into Next-Gen ChatGPT and AI-Driven Malware Analysis

Lecture 31 Recap and Integration of Learned Concepts

Lecture 32 Preview of Advanced Topics in AI-Driven Malware Analysis

Lecture 33 Closing Thoughts and Encouragement for Continuous Learning

Anyone who want to enhance skills in cyber security threat detection,Any people who want to create added value to their cyber security business,Any one who want to start or pursue career in Digital Forensics,Any one who want to start or pursue career in Malware Forensics,Any one who want to start or pursue career in Malware Analysis,Anyone who want to enhance skills in Malware Analysis,Anyone who want to enhance skills in Cloud based Malware Analysis,Any one who are not satisfied with their job, but want to become Malware Analysis Expert