Malware Analysis with AI: Deep Learning, GNNs, and ChatGPT

Fileless, obfuscated, and metamorphic malware are built to slip past signature-based defenses. This course shows how defenders use AI to catch them: memory forensics with deep learning for fileless and stealthy threats, sandbox and automation platforms, sequence-to-sequence models and graph neural networks for metamorphic malware, AI detection of malicious executables, and ChatGPT as an assistant for malware behavior analysis — with hands-on labs throughout.

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⏱️ Chapters:
0:00:00 Decoding Fileless Malware: AI-Driven Detection Mechanisms
0:10:01 Unraveling the Features of Fileless Malware for Effective Detection
0:25:51 Advanced Techniques in Fileless Malware Detection
0:42:08 Generating Real-Time Datasets for In-Memory Fileless Malware Detection
0:50:34 Algorithmic Approaches in AI-Driven Fileless Malware Analysis
0:58:16 Building a Detection Model: Memory Forensics for Dataset Creation
1:05:17 Lab: Automated Deep Learning Strategies for Fileless Malware Detection
1:29:25 Deep Learning and Memory Forensics in Unmasking Obfuscated Malware
1:39:38 Detecting Obfuscated Malware Using Memory Forensics with Deep Learning
1:47:49 Lab: Deep Learning for Enhanced Detection of Stealthy Malware
2:04:22 Enhancing Malware Analysis through Advanced Automation Platforms
2:14:35 Malware Sandbox Platforms for Enterprise Security Infrastructure
2:24:12 How Fileless Malware Detection Integrates with System Architecture
2:36:11 Understanding Metamorphic Malware: Evolution, Behavior, and Defense
2:49:16 Dissecting Metamorphic Malware: What Changes & What Stays the Same
3:00:04 Advanced Techniques for Metamorphic Malware Detection
3:12:12 Applying Sequence-to-Sequence Models for Metamorphic Malware Analysis
3:18:57 Exploring Control Flow Graphs and Graph Neural Networks
3:33:50 Deep Dive: Malware Analysis Using CFGs & Graph Neural Networks
3:43:05 Metamorphic Malware Detection Using Graph Neural Networks
3:46:54 Lab: Metamorphic Malware Detection Using Graph Neural Networks
4:11:01 Behavioral and Executable Malware: A Unified AI Detection Strategy
4:26:42 Lab: Detecting Malware in Executable Files
4:41:00 Enhancing Malware Behavioral Analysis with ChatGPT
4:47:44 Incorporating ChatGPT into the Malware Analysis Workflow
4:53:49 ChatGPT's Multifaceted Approach to Malware Analysis
5:00:20 Lab: ChatGPT for In-Depth Malware Code Behavior Analysis

⚠️ For educational and defensive purposes only. Handle malware samples only inside isolated lab environments, and analyze only systems you own or have explicit written permission to test. This course is independent and is not affiliated with, endorsed by, or sponsored by OpenAI or any mentioned organization.

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