Legitimized [FOR710: Reverse-Engineering Malware: Advanced Code Analysis] Expert – Led Video Course – MASTERYTRAIL

1. Introduction to Reverse Engineering and Malware Analysis
Definition of reverse engineering
History and evolution of malware analysis
Objectives of malware reverse engineering
Legal and ethical considerations
Overview of malware types
Static vs dynamic analysis
Required tools and setup
Introduction to assembly language
Malware analysis workflow
Safety precautions and best practices
2. Setting Up a Malware Analysis Lab
Hardware requirements
Virtualization vs physical machines
Network isolation strategies
Installing analysis tools
Windows and Linux VM setup
Snapshots and revert points
Safe malware sample acquisition
Configuring network monitoring tools
Lab automation basics
Lab maintenance and updates
3. Windows Internals for Reverse Engineers
Windows OS architecture
Process and thread structures
Memory management in Windows
Registry structure and usage
Windows API overview
File system internals
Service and driver management
Common Windows artifacts
Privilege escalation methods
Logging and event tracing
4. Assembly Language Fundamentals
CPU architecture overview
Registers and memory addressing
Stack operations and conventions
Basic instruction set (x86/x64)
Control flow instructions
Function call conventions
Common assembly idioms
Conditional logic in assembly
Inline assembly in C/C++
Tools for assembly analysis
5. Disassemblers and Decompilers
Introduction to disassembly
Popular disassemblers (IDA Pro, Ghidra, Radare2)
Loading binaries for analysis
Navigating code in disassemblers
Function identification
Cross-references and call graphs
Scripting and automation
Decompiler basics
Understanding decompiled pseudocode
Limitations of automated tools
6. Static Analysis Techniques
File format identification
Hashing and signatures
Extracting embedded resources
PE header analysis
Identifying packed or obfuscated code
String analysis
Control flow graph construction
Import/export table analysis
Code similarity analysis
Static YARA rule writing
7. Dynamic Analysis Fundamentals
Purpose of dynamic analysis
Setting up safe execution environments
Monitoring process activity
Behavioral sandboxing
API call tracing
Memory analysis during runtime
Detecting network activity
Registry and file system monitoring
Anti-virtualization detection
Capturing and interpreting logs
8. Debugging Malware
Debugger overview (x64dbg, WinDbg, OllyDbg)
Loading and attaching to processes
Breakpoints and watchpoints
Stepping through code
Memory inspection techniques
Modifying process execution
Handling exceptions
Debugging anti-debugging techniques
Scripted debugging
Crash dump analysis
9. Unpacking and Deobfuscation
Identifying packed binaries
Manual unpacking techniques
Automated unpackers
Common packers and signatures
Code deobfuscation strategies
Reconstructing import tables
Decrypting embedded payloads
Dealing with runtime code generation
Extracting original code for analysis
Documenting unpacking process
10. API Analysis and Hooking
Windows API essentials
API call tracing tools
Hooking methodologies
Inline and import address table hooks
Monitoring network APIs
Logging file and registry access
Identifying injected code
API emulation techniques
Bypassing anti-analysis hooks
Writing custom API monitors
11. Malware Evasion and Anti-Analysis Techniques
Overview of evasion techniques
Anti-debugging methods
Anti-virtualization checks
Obfuscation tactics
Encryption and packing
API misuse and redirection
Timing attacks
Code injection and process hollowing
Polymorphism and metamorphism
Detection and countermeasures
12. Code Injection and Process Manipulation
Process injection overview
DLL injection techniques
Reflective DLL injection
Process hollowing explained
Code cave utilization
Remote thread creation
Shellcode injection
Detecting injected code
Mitigating process manipulation
Analyzing injection artifacts
13. Shellcode Analysis
What is shellcode?
Common shellcode formats
Extraction from binaries
Disassembling shellcode
Emulating shellcode execution
Identifying shellcode intent
Shellcode obfuscation
Detecting encoded shellcode
Analyzing network-delivered shellcode
Writing shellcode detection signatures
14. Windows PE File Format Deep Dive
PE file structure overview
Sections and headers
Import/export tables
Resource section parsing
Relocation table analysis
Debug directory and symbols
PE file anomalies in malware
Manual PE file reconstruction
PE file signature detection
Tools for PE analysis
15. Linux and ELF Malware Analysis
Linux malware landscape
ELF file format structure
Static analysis of ELF binaries
Dynamic analysis on Linux
Common Linux malware behaviors
ELF packing and obfuscation
Linux rootkits and persistence
Analyzing ELF imports and exports
Linux anti-analysis techniques
Tools for ELF analysis
16. Scripting for Malware Analysis Automation
Introduction to Python for analysis
Automating static analysis tasks
Parsing PE and ELF files programmatically
Batch malware processing scripts
Automating YARA scanning
Scripted unpacking and deobfuscation
Interfacing with disassembler APIs
Automating dynamic analysis
Output parsing and report generation
Scripting best practices and security
17. Network Traffic Analysis for Malware
Capturing traffic safely
Analyzing malware C2 traffic
Protocol identification
Extracting IOCs from traffic
Reconstructing sessions
Decoding obfuscated communications
SSL/TLS interception
Detecting data exfiltration
Network IOCs and signatures
Using Wireshark and other tools
18. Analyzing Ransomware
Ransomware trends and evolution
Infection vectors and propagation
Encryption algorithms in ransomware
Key management analysis
Static indicators of ransomware
Behavioral analysis of encryption
Ransom note extraction
Bypassing anti-analysis routines
Decryptor development basics
Ransomware incident response
19. Rootkits and Stealth Malware
Definition and history of rootkits
User-mode vs kernel-mode rootkits
Rootkit persistence mechanisms
Hooking and hiding techniques
Detecting rootkit activity
Analyzing rootkit code
Kernel debugging tools
Rootkit removal strategies
Firmware and bootkits overview
Case studies in rootkit analysis
20. Analyzing Fileless Malware
Fileless malware definition
Common fileless infection vectors
Living off the land binaries (LOLBins)
PowerShell malware analysis
WMI-based malware
Memory-resident payload analysis
Registry-resident malware
Detecting fileless activity
Memory forensics basics
Prevention and mitigation strategies
21. Macro and Script-Based Malware
Office macro malware overview
VBA and VBS scripting threats
Analyzing malicious macros
Script obfuscation techniques
Extracting and deobfuscating scripts
JavaScript and HTML malware
PDF-based malware analysis
Script execution tracing
Tools for script analysis
Scripting language defenses
22. Analyzing Network Worms
Worm propagation methods
Code analysis of self-replication
Vulnerability exploitation in worms
Payload delivery mechanisms
Network scanning techniques
Traffic signature extraction
Worm containment strategies
Reverse engineering worm logic
Detecting worm mutations
Historical worm case studies
23. Steganography and Data Hiding in Malware
Steganography fundamentals
Data hiding in image and audio files
Malware using steganography
Detection of hidden data
Steganalysis tools and techniques
Analyzing encoded payloads
Extracting hidden data
Evasion through steganography
Case studies in steganomalware
Writing detection signatures
24. Polymorphic and Metamorphic Malware Analysis
Definitions and differences
Mutation engines overview
Detecting polymorphic code
Emulation-based analysis
Metamorphic code transformation
Static signature limitations
Heuristic and behavior analysis
Polymorphic unpacking methods
Case studies in advanced malware
Defensive strategies
25. Memory Forensics for Malware Analysis
Memory forensics introduction
Acquiring memory dumps
Tools for memory analysis
Extracting processes and modules
Identifying injected/hidden code
Volatility framework usage
Memory-resident malware detection
Recovering encryption keys from memory
Timeline reconstruction
Advanced memory artifacts
26. Mobile Malware Analysis (Android & iOS)
Mobile malware landscape
Android app structure and APK analysis
Static and dynamic analysis of Android malware
iOS app structure and IPA analysis
Jailbreaking and rooting for analysis
Mobile device emulation
Network analysis in mobile malware
Common evasion techniques
Extracting and analyzing payloads
Tools for mobile malware analysis
27. Advanced Static Code Analysis
Control flow graph refinement
Data flow analysis techniques
Symbolic execution
Taint analysis
Function pointer and indirect calls
Code similarity and clone detection
Automated static analysis tools
Vulnerability identification
Dealing with stripped binaries
Reporting and documentation
28. Advanced Dynamic Code Analysis
Advanced debugging strategies
Dynamic taint analysis
API tracing automation
Code coverage measurement
Fuzzing malware for behaviors
Dynamic unpacking and decryption
Emulation vs virtualization
Dynamic analysis evasion countermeasures
Instrumentation frameworks
Automated behavioral reporting
29. Malware Persistence Mechanisms
Registry-based persistence
Scheduled tasks and services
Startup folder and shortcuts
DLL hijacking
WMI event subscriptions
Bootkits and firmware-level persistence
Analyzing persistence code
Removing persistence hooks
Detecting new persistence vectors
Real-world examples
30. Command and Control (C2) Analysis
C2 communication basics
Hardcoded vs dynamic C2
Domain generation algorithms (DGAs)
Beaconing behaviors
Encrypted C2 channels
Protocol reverse engineering
Sinkholing and takedown strategies
Extracting C2 IOCs
C2 evasion techniques
Real-world C2 case studies
31. Malware Obfuscation and Encryption
Common obfuscation techniques
Code virtualization and packing
String and resource encryption
Control flow flattening
Opaque predicates
Unusual instruction sequences
Automated deobfuscation tools
Manual deobfuscation
Identifying custom encryption
Reporting obfuscation methods
32. Reverse Engineering Exploits in Malware
Exploit development basics
Vulnerability identification
Shellcode delivery analysis
ROP and code reuse techniques
Analyzing exploit payloads
Exploit mitigations in binaries
Heap exploitation in malware
Stack-based exploitation
Exploit detection in the wild
Case studies in real malware
33. Malware Family Classification
Taxonomy of malware families
Code similarity metrics
Automated family identification
Clustering and labeling
Behavior-based classification
Signature creation for families
Tracking malware evolution
Attribution challenges
Visualization techniques
Case studies in classification
34. Attribution in Malware Analysis
Techniques for attribution
Code reuse and artifact tracing
Language and cultural markers
Infrastructure analysis
Time zone and timestamp analysis
Linking samples to threat actors
False flag operations
Open-source intelligence (OSINT)
Limitations and risks
Documenting attribution findings
35. Writing Detection and YARA Rules
YARA rule structure and syntax
Writing effective signatures
String and binary pattern matching
Condition statements in YARA
Testing and tuning YARA rules
False positive/negative reduction
Contextual rule writing
Integrating YARA in workflows
Sharing and managing rulesets
Case studies in YARA detection
36. Malware Analysis Reporting and Documentation
Importance of documentation
Structuring analysis reports
Technical vs executive summaries
IOC extraction and presentation
Visualizing analysis data
Evidence preservation
Report automation tools
Sharing findings with stakeholders
Legal and compliance considerations
Case study: Sample report
37. Threat Intelligence Integration
What is threat intelligence?
Integrating intelligence sources
Mapping IOCs to threat feeds
Analysis enrichment with TI
Using MISP and similar platforms
Intelligence-driven hunting
Automating TI ingestion
Reporting threat actor activity
Sharing intelligence securely
Evaluating intelligence quality
38. Legal and Ethical Aspects of Malware Analysis
Laws governing malware possession
Responsible disclosure principles
Handling and sharing malware samples
Chain of custody documentation
Data protection and privacy
International legal considerations
Working with law enforcement
Ethics in reverse engineering
Risk mitigation in analysis
Compliance frameworks
39. Reverse Engineering Network Protocols in Malware
Protocol reverse engineering basics
Identifying custom protocols
Dissecting network traffic
Protocol fuzzing methods
Encryption and encoding in protocols
Building protocol dissectors
Extracting C2 commands
Protocol emulation
Real-world protocol analysis
Documenting findings
40. Malware Analysis in Cloud Environments
Cloud malware threats overview
Setting up cloud analysis labs
Analyzing containerized malware
Cloud-specific evasion techniques
Persistent threats in cloud
Cloud log analysis
API abuse in the cloud
Automation in cloud analysis
Cloud service provider tools
Incident response in the cloud
41. Internet of Things (IoT) Malware Analysis
IoT malware landscape
Common IoT OS and architectures
Firmware extraction and analysis
Reverse engineering IoT binaries
Network behavior in IoT malware
IoT botnets and propagation
Analyzing IoT persistence
IoT security challenges
Tools for IoT malware analysis
Case studies: Mirai and beyond
42. Industrial Control System (ICS) Malware
ICS environment overview
PLC and SCADA malware
ICS-specific attack vectors
Firmware and logic analysis
ICS protocol reverse engineering
ICS malware case studies
ICS safety and security
Analyzing ICS persistence
ICS incident response
Tools for ICS malware analysis
43. Machine Learning in Malware Analysis
Introduction to ML in security
Feature extraction from malware
Static vs dynamic features
Training and testing datasets
ML algorithms for classification
Evaluating ML models
Automating analysis with ML
Limitations and evasion of ML
Integrating ML in workflows
Case studies in ML malware detection
44. Advanced Malware Analysis Case Studies
Dissecting high-profile malware
Comparing analysis approaches
Lessons learned from real incidents
Challenges in advanced malware
Unique evasion and persistence
Attribution and tracking
Code reuse across campaigns
Timeline reconstruction
Reporting and sharing insights
Open discussion and Q&A
45. Reverse Engineering for Incident Response
Role of RE in IR
Rapid triage analysis
IOC extraction under pressure
Live system analysis techniques
Memory forensics in IR
Reporting findings to IR teams
Containment recommendations
Collaboration with SOC/IR teams
Post-incident lessons learned
Tools for IR-focused RE
46. Reverse Engineering for Vulnerability Discovery
Vulnerability research methodology
Identifying bug patterns in code
Fuzzing for vulnerability discovery
Analyzing exploit code in malware
Patch diffing and binary comparison
Vulnerability disclosure process
Coordinating with vendors
Writing proof-of-concept exploits
Defensive coding recommendations
Case studies in vulnerability discovery
47. Advanced Anti-Analysis and Countermeasures
Evasive anti-analysis techniques
Bypassing sandboxes and debuggers
Advanced anti-VM detection
Code stalling and logic bombs
Custom packers and encryptors
Advanced code injection
Multi-stage payloads
Counteracting evasion
Advanced behavioral detection
Reporting on anti-analysis
48. Collaborative Malware Analysis and Open Source Tools
Collaborative workflows
Open source tool overview
Integrating multiple tools
Version control for analysis scripts
Sharing analysis artifacts
Community-driven rule sharing
Contributing to open source projects
Tool extension and customization
Cloud-based collaboration platforms
Building a collaborative knowledge base
49. Preparing for Malware Reverse Engineering Challenges
Overview of CTFs and challenges
Typical challenge formats
Time management strategies
Tool selection and preparation
Collaboration in teams
Sample challenge walkthroughs
Common pitfalls and solutions
Developing analysis checklists
Practice resources and labs
Post-challenge reviews
50. Final Capstone: End-to-End Malware Analysis
Selecting or assigning a sample
End-to-end analysis workflow
Unpacking and deobfuscation
Static and dynamic analysis
Extracting IOCs and artifacts
Reporting findings comprehensively
Peer review and feedback
Presentation of analysis results
Lessons learned and improvements
Next steps for advanced learning