Nov 17 2023 Malware Forensics V2: Classic&Ai/Chatgpt In Decoding&Evasion BaDshaH LEARNING / e-learning - Tutorials 23:35 0 Published 11/2023MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.30 GB | Duration: 5h 33mHarnessing Classic Techniques, AI Strategies, and ChatGPT for Comprehensive Malware Analysis What you'll learnMalware ForensicsMalware Analysis, Intrusion and PredictionDigital ForensicsStatic Malware AnalysisCloud-Based Malware AnalysisMalware Forensics using AIStatic Malware Analysis with AIReverse Engineering using AIAssembly analysis using ChatGPTMalware Analysis with ChatGPTMalware DecodingMalware Evasion AnalysisEncrypted Malware AnalysisRequirementsBasic knowledge of Python will be goodBasic Knowledge of Machine Learning and AI will be goodBut everything will be taught from the round upDescription"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.OverviewSection 1: Malware Forensics : Classic Strategies and AI-Driven TechniquesLecture 1 Harnessing AI in Malware ForensicsLecture 2 Overview of Malware Forensics and Essential ToolsLecture 3 The Role of AI in Uncovering Malware SecretsSection 2: Decoding the Hidden: Unpacking and Analyzing Encoded MalwareLecture 4 Malware Obfuscation and Evasion TechniquesLecture 5 Lab Exercise : Encoding Executable Files with UPXLecture 6 Demystifying Executables Insights into PEiDLecture 7 Lab Exercise: Analyzing Encoded Malicious Executables with PEiDLecture 8 Decoding Executable with EXEinfo PELecture 9 Lab Exercise : Insights into Encoded Executable File with EXEinfoPELecture 10 Lab Exercise : Decoding UPX-Packed Malware with VirusTotal AnalysisLecture 11 Lab Exercise : Dissecting UPX-Packed Malware with Jotti's Virus ScanSection 3: Advanced Evasion Techniques and Analyzing Encrypted MalwareLecture 12 Advanced Malware Evasion TechniquesLecture 13 Unveiling the Cloak: Malware Evasion and Detection StrategiesLecture 14 LAB : Encrypted Malware Executable File Analysis by VT VSJLecture 15 LAB : Payload Encryption Malware AnalysisLecture 16 LAB : Partial File Encryption (Payload Injection) Malware AnalysisLecture 17 Unveiling Hidden Malware: Techniques for Behavioral Analysis of Encrypted ExecutLecture 18 Navigating the Blind Spots: Strategies for Responses to Malware Evasion TechniquSection 4: AI & ChatGPT Driven Malware Analysis : Static Techniques to Reverse EngineeringLecture 19 Fundamentals of Static Malware File AnalysisLecture 20 Advanced Predictive Modeling Techniques in Malware AnalysisLecture 21 Key Static Features Identification for Enhanced AI Malware AnalysisLecture 22 Lab Exercise: AI in Static Malware AnalysisLecture 23 Lab Exercise: Neural Networks in Static Malware AnalysisLecture 24 Lab Exercise: Utilizing Random Forest Regressors in Malware Impact PredictionLecture 25 Lab Exercise: ChatGPT-Assisted Reverse Engineering in Malware Assembly AnalysisSection 5: AI in Malware Forecasting: Beyond Detection to Predicting Malware IntrusionsLecture 26 Correlation Analysis in Multi-Stage Malware DetectionLecture 27 Lab: Heatmap Visualization of Feature Correlations in Malware DetectionLecture 28 Proactive Prediction Techniques for Malware ThreatsLecture 29 Evolving Malware Threat Forecasting: Advanced Time Series AnalysisLecture 30 Lab: Time Series Analysis (TSA) in Forecasting Future Malware ThreatsSection 6: Advancing into Next-Gen ChatGPT and AI-Driven Malware AnalysisLecture 31 Recap and Integration of Learned ConceptsLecture 32 Preview of Advanced Topics in AI-Driven Malware AnalysisLecture 33 Closing Thoughts and Encouragement for Continuous LearningAnyone 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 ExpertHomepagehttps://www.udemy.com/course/malware-forensics-v2-classicaichatgpt-in-decodingevasion/https://rapidgator.net/file/db8cc80599dfbab008719a41f5816c74https://rapidgator.net/file/4e310360effb5daa4e447ecc688f44edhttps://nitroflare.com/view/2CCAAC08EDE485Chttps://nitroflare.com/view/28B174A22D1E127 Related News Udemy - Complete Machine Learning & Data Science with Python | A-ZPython- Numpy & Pandas Python Programming Language LibrariesPython & Data Science with R | Python & R ProgrammingComputer Forensics and Digital Forensics Masterclass 2023+Chatgpt Prompts Mastery: 50,000+ Prompts | 20 Courses In 1 Comments (0)Add comment Submit NEWEST RELEASES 16.05: iA Writer 7.1.3 macOS 16.05: Sync Folders Pro 4.7.3 macOS 16.05: YT Saver Video Downloader & Converter 7.7.0 macOS 16.05: iTubeGo YouTube Downloader 7.7.0 macOS 16.05: Perfectly Clear WorkBench 4.6.1.2660 macOS 16.05: Topaz Photo AI 3.0.2 macOS 16.05: Nevercenter CameraBag Pro 2024.2.0 macOS 16.05: TinkerTool System 8.92 macOS 16.05: PDF Reader Pro 4.0.1 macOS 16.05: 4K Video Downloader Pro 4.31.0 macOS Recommended Filehosts Freinds Site