IDA
Ghidra
Binary Ninja
CFG
DFG
ASM
CALL
JMP
XOR
MOV
CMP
TEST
LEA
PUSH
POP
RET
NOP
INT
SYSCALL
API
DLL
GOT
PLT
BSS
TEXT
DATA
RODATA
HEAP
STACK
EBP
academy$ ghidra ./advanced_malware.exe
Loading binary...
Analyzing control flow graph...
Decompiling functions...
[LESSON_06][ADVANCED]

[๐Ÿ”ฌ ADVANCED STATIC ANALYSIS]

// Master sophisticated reverse engineering techniques. Learn advanced disassembly, decompilation, control flow analysis, and anti-analysis evasion to dissect the most complex malware and protected software.

academy$ cat learning_objectives.md

[๐ŸŽฏ LEARNING_OBJECTIVES]

> mastery_goals.list

  • [โœ“]Master advanced disassembly tools (IDA Pro, Ghidra, Binary Ninja)
  • [โœ“]Perform sophisticated decompilation and pseudocode analysis
  • [โœ“]Build and interpret control flow graphs (CFGs)
  • [โœ“]Conduct data flow and dependency analysis
  • [โœ“]Defeat anti-analysis and obfuscation techniques
  • [โœ“]Apply advanced techniques to real-world malware samples

> prerequisites.cfg

  • - Completed Lesson 4: Static Analysis
  • - Completed Lesson 5: Dynamic Analysis
  • - Advanced assembly language skills
  • - Understanding of system APIs and calling conventions
  • - Experience with file formats (PE/ELF/Mach-O)
# Estimated completion time: 6 hours
# Difficulty: Advanced - requires solid foundation
academy$ man advanced_disassemblers

[๐Ÿ”ง ADVANCED_DISASSEMBLY_TOOLS]

IDA

IDA Pro

Industry Standard

๐Ÿš€ Key Features:

  • โ€ข Multi-architecture support (x86, x64, ARM, MIPS)
  • โ€ข Advanced decompiler (Hex-Rays)
  • โ€ข Powerful plugin ecosystem
  • โ€ข Collaborative analysis features
  • โ€ข Signature libraries (FLIRT)
$ ida64 malware.exe
Loading...
G

Ghidra

NSA's Open Source

๐Ÿ”“ Key Features:

  • โ€ข Free and open source
  • โ€ข Built-in decompiler
  • โ€ข Collaborative project sharing
  • โ€ข Extensible with Java plugins
  • โ€ข Version tracking and diffing
$ ghidra
Starting CodeBrowser...
BN

Binary Ninja

Modern Interface

โšก Key Features:

  • โ€ข Modern, intuitive interface
  • โ€ข Medium Level IL (MLIL)
  • โ€ข API for custom analysis
  • โ€ข Cloud-based collaboration
  • โ€ข Integrated debugger
$ binaryninja
Loading UI...
academy$ objdump -d --visualize-jumps ./binary.exe

[๐ŸŒ CONTROL_FLOW_ANALYSIS]

๐Ÿ“Š Understanding Control Flow Graphs

Control Flow Graphs (CFGs) visualize how program execution can flow between different code blocks. They're essential for understanding program logic and identifying suspicious patterns.

CFG Components:

  • โ€ข Basic Blocks: Sequences of instructions with single entry/exit
  • โ€ข Edges: Possible execution paths between blocks
  • โ€ข Entry Point: Where program execution begins
  • โ€ข Exit Points: Where functions/program terminates

๐Ÿ” CFG Analysis Techniques

Path Analysis

Identify execution paths and code coverage

# Find all paths from main to exit
paths = find_all_paths(cfg, 'main', 'exit')

Loop Detection

Identify loops and potential infinite execution

# Detect back-edges indicating loops
loops = detect_natural_loops(cfg)

Dominance Analysis

Find code blocks that control execution flow

# Calculate dominator tree
dom_tree = build_dominator_tree(cfg)
academy$ python decompile.py --target ./malware.exe --format c

[๐Ÿ”„ DECOMPILATION_TECHNIQUES]

๐ŸŽฏ From Assembly to High-Level Code

Decompilation reverses the compilation process, transforming machine code back into readable high-level language constructs. This makes complex binaries much easier to understand.

Assembly Code

; Function prologue
push ebp
mov ebp, esp
sub esp, 0x10
; Function body
mov eax, [ebp+8]
cmp eax, 0
jle .exit
imul eax, eax
; Function epilogue
.exit:
leave
ret

Decompiled C Code

int square_if_positive(int x) {
if (x <= 0) {
return 0;
}
return x * x;
}

๐Ÿ› ๏ธ Decompilation Challenges

โš ๏ธ Optimization Effects

Compiler optimizations can make decompiled code look very different from the original source

๐Ÿ”€ Control Flow Obfuscation

Malware often uses control flow flattening and other techniques to confuse decompilers

๐Ÿ“š Type Recovery

Decompilers must guess data types and structures from assembly instructions

๐Ÿ’ก Best Practices

โœ… Manual Annotations

Add comments and rename variables to improve readability

// Rename generic names to meaningful ones
var_10 โ†’ encryption_key

๐ŸŽฏ Focus on Key Functions

Start with entry points and work towards functions of interest

๐Ÿ”„ Cross-Reference Analysis

Use both assembly and decompiled views for complete understanding

academy$ detect-packing ./suspicious.exe
WARNING: Packed executable detected - UPX signature found

[๐Ÿ›ก๏ธ ANTI_ANALYSIS_TECHNIQUES]

โš ๏ธ

Understanding the Arms Race

Malware authors constantly develop new techniques to evade analysis. As a reverse engineer, you need to understand these methods to effectively analyze modern threats. This is an ongoing arms race between attackers and defenders.

๐ŸŽญ Common Evasion Techniques

๐Ÿ“ฆ Packing & Compression

Executable is compressed/encrypted and unpacks itself at runtime

# Common packers to look for:
UPX, Themida, VMProtect, ASPack

๐Ÿ”€ Control Flow Obfuscation

Code flow is intentionally made complex to confuse analysis tools

# Techniques include:
Junk code insertion, opaque predicates

๐Ÿ•ต๏ธ Anti-Debugging

Techniques to detect and prevent debugger attachment

# Detection methods:
IsDebuggerPresent(), PEB checks

โฐ Time-Based Evasion

Malware delays execution to avoid dynamic analysis sandboxes

# Common techniques:
Sleep() calls, user interaction checks

๐Ÿ—ก๏ธ Defeating Anti-Analysis

๐Ÿ“‚ Unpacking Strategies

Methods to extract the original executable from packed samples

# Automated unpacking tools:
upx -d packed.exe
python unipacker.py sample.exe

๐Ÿ”ง Debugger Detection Bypass

Techniques to hide debugger presence from malware

# ScyllaHide plugin for x64dbg
Patches common detection APIs

โšก Static Unpacking

Reconstruct original code without executing the malware

# Manual unpacking in disassembler
Find OEP, dump memory, rebuild PE

๐ŸŽฏ Selective Analysis

Focus on specific functions while ignoring obfuscated code

# Target specific behaviors:
Network functions, file operations
academy$ ./start_lab.sh advanced_static_analysis
Setting up analysis environment...
Loading malware samples...
Preparing multi-platform samples...

[๐Ÿงช ADVANCED_STATIC_ANALYSIS_LAB]

๐ŸŽฏ

Professional Malware Analysis Laboratory

Master advanced static analysis with three sophisticated educational malware samples. Each demonstrates real-world evasion techniques across Windows, Linux, and macOS platforms in a safe, controlled environment.

WIN

Crypto Miner

Windows PE Analysis

๐Ÿ” Techniques:
  • โ€ข Anti-debugging (PEB, IsDebuggerPresent)
  • โ€ข String encryption (XOR cipher)
  • โ€ข Control flow obfuscation
  • โ€ข Process injection prep
  • โ€ข Registry persistence
LNX

Rootkit

Linux ELF Analysis

๐Ÿ” Techniques:
  • โ€ข ELF manipulation & hooking
  • โ€ข Library interposition
  • โ€ข Process hiding techniques
  • โ€ข Network backdoor
  • โ€ข Anti-forensics methods
MAC

Info Stealer

macOS Mach-O Analysis

๐Ÿ” Techniques:
  • โ€ข Mach-O header manipulation
  • โ€ข Keychain data extraction
  • โ€ข LaunchAgent persistence
  • โ€ข Browser data harvesting
  • โ€ข Gatekeeper bypass

[๐Ÿ“š LAB_RESOURCES]

๐ŸŽฏ What You'll Master

  • โ€ข Professional reverse engineering tools (Ghidra, IDA Pro)
  • โ€ข Advanced anti-analysis evasion techniques
  • โ€ข Cross-platform malware comparison
  • โ€ข YARA signature development
  • โ€ข IoC extraction and threat intelligence
  • โ€ข Control flow graph interpretation

๐Ÿ“‹ Lab Exercises (6 Total)

  • [EX-1]Multi-platform malware analysis and comparison
  • [EX-2]Advanced disassembly with Ghidra and IDA Pro
  • [EX-3]Control flow graph generation and analysis
  • [EX-4]Anti-analysis technique identification & bypass
  • [EX-5]IoC extraction and YARA rule development
  • [EX-6]Comprehensive malware analysis report

๐Ÿ› ๏ธ Setup Requirements

Analysis Tools

# Professional tools
โ€ข Ghidra (Free - NSA tool)
โ€ข IDA Free/Pro
โ€ข Binary Ninja (optional)
โ€ข YARA rule engine

Environment

# Isolated analysis environment
โ€ข VMware/VirtualBox VM
โ€ข Windows/Linux/macOS images
โ€ข Network isolation
โ€ข Snapshot capability

โš ๏ธ Safety Protocol

  • โ€ข Always use isolated VMs for analysis
  • โ€ข Never run samples on host systems
  • โ€ข Educational samples only - safe but treat as real
  • โ€ข Take snapshots before beginning analysis
academy$ wget -r --no-parent https://academy.local/samples/advanced-static-analysis/
Downloading complete lab package...

[๐Ÿ“ฆ COMPLETE_LAB_PACKAGE]