Ghidra - Framework di Reverse Engineering dell'NSA¶
Ghidra rappresenta un avanzamento rivoluzionario negli strumenti di reverse engineering, sviluppato dalla National Security Agency (NSA) e rilasciato come software open-source nel 2019. Questo framework completo di reverse engineering del software fornisce un'intera suite di strumenti di analisi software di alto livello che consentono agli utenti di analizzare codice compilato su varie piattaforme tra cui Windows, macOS e Linux. Le capacità di Ghidra comprendono disassemblaggio, assemblaggio, decompilazione, creazione di grafi e scripting, insieme a centinaia di altre funzionalità che lo rendono un'alternativa formidabile a strumenti commerciali come IDA Pro. Ciò che distingue Ghidra non è solo il suo costo zero e la natura open-source, ma anche le sue avanzate funzionalità collaborative, l'ampio supporto per i processori e il sofisticato decompilatore che può ricostruire codice di alto livello simile a C da eseguibili binari. Il framework supporta l'analisi di binari per dozzine di architetture di processori e può gestire vari formati eseguibili, rendendolo uno strumento prezioso per l'analisi di malware, la ricerca di vulnerabilità, l'audit del software e attività generali di reverse engineering.
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Prerequisites - Java 17 or later required¶
Check Java version¶
java -version
Install OpenJDK 17 (Ubuntu/Debian)¶
sudo apt update sudo apt install openjdk-17-jdk
Install OpenJDK 17 (CentOS/RHEL/Fedora)¶
sudo dnf install java-17-openjdk-devel
macOS - Install via Homebrew¶
brew install openjdk@17
Download Ghidra from official NSA GitHub¶
Visit: https://github.com/NationalSecurityAgency/ghidra/releases¶
Extract Ghidra¶
unzip ghidra_10.4_PUBLIC_20230928.zip cd ghidra_10.4_PUBLIC
Set execute permissions (Linux/macOS)¶
chmod +x ghidraRun chmod +x support/analyzeHeadless
Launch Ghidra GUI¶
./ghidraRun
Launch Ghidra (Windows)¶
ghidraRun.bat¶
Verify installation¶
./ghidraRun --help
Set JAVA_HOME if needed¶
export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 export PATH=\(JAVA_HOME/bin:\)PATH
Create desktop shortcut (Linux)¶
cat > ~/.local/share/applications/ghidra.desktop << EOF [Desktop Entry] Name=Ghidra Comment=Software Reverse Engineering Framework Exec=/path/to/ghidra/ghidraRun Icon=/path/to/ghidra/support/ghidra.png Terminal=false Type=Application Categories=Development; EOF
### Initial Configuration
```bash
# Ghidra configuration directory
# Linux: ~/.ghidra/.ghidra_10.4_PUBLIC
# Windows: %USERPROFILE%\.ghidra\.ghidra_10.4_PUBLIC
# macOS: ~/.ghidra/.ghidra_10.4_PUBLIC
# Memory settings (edit ghidraRun script)
# Increase heap size for large binaries
# -Xmx4G for 4GB heap (default is usually 1GB)
# Create Ghidra project directory
mkdir ~/ghidra_projects
# Environment variables
export GHIDRA_INSTALL_DIR=/path/to/ghidra
export PATH=$GHIDRA_INSTALL_DIR:$PATH
# Headless analysis setup
export GHIDRA_HEADLESS=$GHIDRA_INSTALL_DIR/support/analyzeHeadless
# Plugin development setup
export GHIDRA_DEV_DIR=/path/to/ghidra_dev
Getting Started with Ghidra¶
Creating and Managing Projects¶
# Launch Ghidra and create new project
# File -> New Project -> Non-Shared Project
# Choose project directory and name
# Import binary file
# File -> Import File
# Select binary executable, library, or firmware
# Supported file formats:
# - PE (Windows executables)
# - ELF (Linux executables)
# - Mach-O (macOS executables)
# - Raw binary files
# - Firmware images
# - Java class files
# - And many more
# Batch import multiple files
# File -> Batch Import
# Project management via GUI:
# - Right-click files to rename, delete, or export
# - Drag and drop files between folders
# - Use filters to find specific files
# Command-line project operations
$GHIDRA_INSTALL_DIR/support/analyzeHeadless /path/to/project ProjectName \
-import /path/to/binary \
-postScript AnalyzeAll.java
# Export project
# File -> Export -> Ghidra Project Archive (.gpr)
# Import project
# File -> Import -> Ghidra Project Archive
Basic Analysis Workflow¶
# 1. Import binary file
# 2. Double-click file to open in CodeBrowser
# 3. Analysis options dialog appears:
# - Analyze Now (recommended for most cases)
# - Configure analysis options
# - Analyze later
# Key analysis components:
# - Disassembly: Convert machine code to assembly
# - Function identification: Find function boundaries
# - String analysis: Identify string literals
# - Symbol resolution: Resolve function and variable names
# - Cross-references: Find code and data references
# - Decompilation: Generate C-like pseudocode
# Manual analysis trigger
# Analysis -> Auto Analyze (if not done during import)
# Analysis options configuration:
# Analysis -> Auto Analyze -> Configure
# Enable/disable specific analyzers:
# - ASCII Strings
# - Function ID
# - Decompiler Parameter ID
# - Stack
# - Reference
# - And many more
Ghidra Interface Overview¶
Main Windows and Views¶
# CodeBrowser - Main analysis interface
# Key components:
# 1. Program Tree - Hierarchical view of program structure
# 2. Symbol Tree - Functions, labels, and symbols
# 3. Data Type Manager - Data types and structures
# 4. Listing - Disassembly and decompiled code
# 5. Decompiler - High-level C-like code view
# 6. Console - Script output and messages
# Navigation shortcuts:
# G - Go to address/symbol
# Ctrl+G - Go to address
# Alt+Left/Right - Navigate back/forward
# Ctrl+E - Edit mode toggle
# Space - Toggle between listing and decompiler
# Window management:
# Window -> New Window - Create additional CodeBrowser
# Window -> Clone Window - Clone current view
# Drag tabs to rearrange or create new windows
# Docking and undocking windows:
# Right-click window tab -> Undock
# Drag window to dock in different position
Listing View Operations¶
# Listing view keyboard shortcuts:
# Arrow keys - Navigate instructions
# Page Up/Down - Navigate by page
# Ctrl+Home/End - Go to beginning/end
# Enter - Follow reference or jump
# Esc - Return from reference
# F2 - Edit label/comment
# ; - Add comment
# L - Add label
# Code units and formatting:
# D - Disassemble at cursor
# C - Clear code units
# B - Create byte data
# W - Create word data
# DW - Create dword data
# QW - Create qword data
# F - Create float data
# T - Create string data
# Cross-references:
# Ctrl+Shift+F - Find references to
# Ctrl+Shift+R - Find references from
# Right-click -> References -> Show References to
# Bookmarks:
# Ctrl+D - Toggle bookmark
# Ctrl+Shift+B - Show bookmarks window
# Bookmarks can have types: Info, Analysis, Error, Warning
Decompiler Operations¶
# Decompiler window shortcuts:
# Ctrl+E - Edit function signature
# Right-click variable -> Rename Variable
# Right-click -> Retype Variable
# Right-click -> Retype Return Type
# Function analysis:
# Right-click function -> Edit Function Signature
# Set calling convention (cdecl, stdcall, fastcall, etc.)
# Define parameters and return types
# Add function comments
# Variable management:
# Local variables automatically identified
# Stack variables shown with offsets
# Global variables linked to memory addresses
# Rename variables for clarity
# Decompiler options:
# Edit -> Tool Options -> Decompiler
# Configure display options:
# - Show namespaces
# - Display line numbers
# - Syntax highlighting
# - Maximum instruction display
Analysis and Reverse Engineering¶
Function Analysis¶
# Function identification and management:
# Functions automatically identified during analysis
# Manual function creation:
# - Position cursor at function start
# - Press 'F' or right-click -> Create Function
# Function signature editing:
# Right-click function name -> Edit Function Signature
# Define parameters:
# - Parameter names
# - Data types
# - Calling convention
# - Return type
# Function graph view:
# Right-click function -> Display Function Graph
# Shows control flow graph
# Navigate with mouse or keyboard
# Zoom with mouse wheel
# Function comparison:
# Window -> Function Comparison
# Compare functions side by side
# Useful for identifying similar functions or variants
# Function tags and categories:
# Right-click function -> Set Function Tag
# Organize functions by purpose or analysis status
# Filter functions by tags in Symbol Tree
Data Type Management¶
# Data Type Manager operations:
# Built-in data types available
# Create custom structures:
# - Right-click in Data Type Manager
# - New -> Structure
# - Add fields with names and types
# Structure definition example:
# struct MyStruct \\\\{
# int field1;
# char field2[16];
# void* field3;
# \\\\};
# Apply data types:
# Select data in listing
# Right-click -> Data -> Choose Data Type
# Or drag data type from manager to listing
# Import data types:
# File -> Parse C Source
# Import header files to create data types
# Useful for analyzing programs with known APIs
# Export data types:
# Right-click data type -> Export
# Save as C header file or Ghidra data type archive
# Enum creation:
# Right-click -> New -> Enum
# Add enum values
# Apply to constants in code for better readability
String and Constant Analysis¶
# String analysis:
# Automatically performed during initial analysis
# Window -> Defined Strings
# Shows all identified strings with addresses and references
# String search:
# Search -> For Strings
# Configure search parameters:
# - Minimum length
# - Character encoding (ASCII, Unicode, etc.)
# - Null termination requirements
# Constant analysis:
# Identify numeric constants
# Right-click constant -> Convert
# Convert to different representations:
# - Hexadecimal
# - Decimal
# - Character
# - Enum value
# Cross-reference analysis:
# Find where strings and constants are used
# Right-click -> References -> Show References to
# Understand data flow and usage patterns
Memory Layout Analysis¶
# Memory map view:
# Window -> Memory Map
# Shows program sections:
# - .text (code)
# - .data (initialized data)
# - .bss (uninitialized data)
# - .rodata (read-only data)
# - Import/export tables
# Section analysis:
# Right-click section -> Set Image Base
# Adjust base address if needed
# Important for position-independent code
# Memory search:
# Search -> Memory
# Search for byte patterns, strings, or values
# Useful for finding specific data or code patterns
# Overlay management:
# For complex binaries with overlays
# Window -> Program Tree
# Manage different memory layouts
Scripting and Automation¶
Ghidra Scripting Basics¶
# Script Manager:
# Window -> Script Manager
# Browse available scripts by category:
# - Analysis
# - Examples
# - Data
# - Decompiler
# - Search
# Running scripts:
# Select script and click Run
# Or double-click script name
# Scripts can be run on current program or selection
# Script development:
# Create new script: Script Manager -> New
# Choose language: Java or Python
# Edit in built-in editor or external IDE
# Script locations:
# User scripts: ~/.ghidra/.ghidra_10.4_PUBLIC/scripts
# System scripts: $GHIDRA_INSTALL_DIR/Ghidra/Features/*/ghidra_scripts
Python Scripting Examples¶
# Basic Python script template
#@category Examples
#@author Your Name
#@description Script description
from ghidra.program.model.symbol import SourceType
# Get current program
program = getCurrentProgram()
# Get current address
currentAddress = currentLocation.getAddress()
# Print basic information
print("Program: " + program.getName())
print("Current address: " + str(currentAddress))
# Iterate through functions
fm = program.getFunctionManager()
functions = fm.getFunctions(True) # True for forward iteration
for function in functions:
print("Function: " + function.getName() + " at " + str(function.getEntryPoint()))
# Find strings
stringTable = program.getListing().getDefinedData(True)
for data in stringTable:
if data.hasStringValue():
print("String at " + str(data.getAddress()) + ": " + data.getValue())
# Create label
symbolTable = program.getSymbolTable()
symbolTable.createLabel(currentAddress, "MyLabel", SourceType.USER_DEFINED)
# Add comment
listing = program.getListing()
listing.setComment(currentAddress, listing.PLATE_COMMENT, "My comment")
Java Scripting Examples¶
// Basic Java script template
//@category Examples
//@author Your Name
//@description Script description
import ghidra.app.script.GhidraScript;
import ghidra.program.model.address.Address;
import ghidra.program.model.listing.Function;
import ghidra.program.model.listing.FunctionManager;
import ghidra.program.model.symbol.SourceType;
public class MyScript extends GhidraScript \\\\{
@Override
public void run() throws Exception \\\\{
// Get current program
Program program = getCurrentProgram();
// Get function manager
FunctionManager fm = program.getFunctionManager();
// Iterate through functions
for (Function function : fm.getFunctions(true)) \\\\{
printf("Function: %s at %s\n",
function.getName(),
function.getEntryPoint().toString());
// Analyze function parameters
int paramCount = function.getParameterCount();
printf(" Parameters: %d\n", paramCount);
// Check if function has return value
if (!function.getReturnType().isVoid()) \\\\{
printf(" Return type: %s\n", function.getReturnType().getName());
\\\\}
\\\\}
// Create bookmark
Address currentAddr = currentLocation.getAddress();
program.getBookmarkManager().setBookmark(
currentAddr,
"Analysis",
"Script",
"Analyzed by script"
);
\\\\}
\\\\}
Advanced Scripting Techniques¶
# Advanced analysis script
#@category Analysis
#@description Advanced binary analysis
from ghidra.program.model.address import AddressSet
from ghidra.program.model.block import BasicBlockModel
from ghidra.program.model.pcode import HighFunction
from ghidra.app.decompiler import DecompInterface
# Initialize decompiler
decompiler = DecompInterface()
decompiler.openProgram(getCurrentProgram())
# Analyze control flow
bbModel = BasicBlockModel(getCurrentProgram())
functions = getCurrentProgram().getFunctionManager().getFunctions(True)
for function in functions:
print("\nAnalyzing function: " + function.getName())
# Get basic blocks
blocks = bbModel.getCodeBlocksContaining(function.getBody(), monitor)
print("Basic blocks: " + str(len(list(blocks))))
# Decompile function
results = decompiler.decompileFunction(function, 30, monitor)
if results.decompileCompleted():
highFunction = results.getHighFunction()
if highFunction:
# Analyze local variables
localSymbols = highFunction.getLocalSymbolMap()
print("Local variables: " + str(localSymbols.getNumSymbols()))
# Analyze function calls
pcodeOps = highFunction.getPcodeOps()
callCount = 0
for op in pcodeOps:
if op.getOpcode() == op.CALL:
callCount += 1
print("Function calls: " + str(callCount))
# Cleanup
decompiler.dispose()
Collaborative Features¶
Ghidra Server Setup¶
# Server installation (requires separate download)
# Download Ghidra Server from NSA GitHub releases
# Extract server
unzip ghidra_10.4_PUBLIC_20230928_server.zip
cd ghidra_10.4_PUBLIC_server
# Initialize server repository
./svrAdmin -add /path/to/repository
# Start Ghidra Server
./ghidraSvr console
# Server runs on port 13100 by default
# Configure firewall to allow connections
# Server administration
./svrAdmin -list # List repositories
./svrAdmin -add repo_name # Add repository
./svrAdmin -remove repo_name # Remove repository
./svrAdmin -users repo_name # List users
./svrAdmin -grant repo_name user # Grant access
./svrAdmin -revoke repo_name user # Revoke access
Shared Project Workflow¶
# Create shared project (client side):
# File -> New Project -> Shared Project
# Enter server details:
# - Server name/IP
# - Port (default 13100)
# - Repository name
# - User credentials
# Check out files for editing:
# Right-click file -> Check Out Exclusive
# Or Check Out (allows concurrent read access)
# Commit changes:
# Right-click modified file -> Check In
# Add commit comment describing changes
# Update from server:
# Right-click file -> Update
# Merge changes from other users
# View file history:
# Right-click file -> Show History
# See all versions and changes
# Merge conflicts:
# Ghidra provides merge tools for conflicts
# Review changes and select appropriate version
# Manual merge may be required for complex conflicts
# Branching and versioning:
# Files maintain complete version history
# Can revert to previous versions
# Compare different versions side by side
Advanced Analysis Techniques¶
Malware Analysis¶
# Safe analysis environment setup:
# - Use isolated VM or sandbox
# - Disable network connections
# - Take VM snapshots before analysis
# Import malware sample:
# File -> Import File
# Select suspicious executable
# Choose appropriate processor architecture
# Initial triage:
# 1. Check file properties and metadata
# 2. Examine imports and exports
# 3. Look for strings and constants
# 4. Identify packing or obfuscation
# String analysis for malware:
# Window -> Defined Strings
# Look for:
# - URLs and IP addresses
# - Registry keys
# - File paths
# - Cryptographic constants
# - Error messages
# Import analysis:
# Window -> Symbol Tree -> Imports
# Identify suspicious API calls:
# - Network functions (socket, connect)
# - File operations (CreateFile, WriteFile)
# - Registry operations (RegOpenKey, RegSetValue)
# - Process manipulation (CreateProcess, OpenProcess)
# Behavioral analysis through decompilation:
# Focus on main function and entry points
# Trace execution flow
# Identify payload delivery mechanisms
# Look for persistence mechanisms
Firmware Analysis¶
# Firmware image preparation:
# Extract firmware from device or download
# Identify architecture (ARM, MIPS, x86, etc.)
# Determine endianness (little/big endian)
# Import raw firmware:
# File -> Import File
# Select "Raw Binary" format
# Configure:
# - Base address (often 0x0 or specific load address)
# - Processor architecture
# - Endianness
# Identify entry points:
# Look for reset vectors
# Check interrupt vector tables
# Find bootloader code
# Memory layout analysis:
# Identify different sections:
# - Bootloader
# - Kernel/OS
# - Application code
# - Configuration data
# - File systems
# String analysis for firmware:
# Look for:
# - Version information
# - Debug messages
# - Configuration parameters
# - Network protocols
# - Cryptographic keys
# Cross-reference analysis:
# Find references to interesting strings
# Trace data flow
# Identify critical functions
Ricerca di Vulnerabilità¶
# Input validation analysis:
# Identify input sources:
# - Command line arguments
# - File inputs
# - Network inputs
# - User interface inputs
# Trace data flow:
# Follow input data through program
# Look for dangerous functions:
# - strcpy, sprintf (buffer overflows)
# - malloc, free (memory management)
# - system, exec (command injection)
# Control flow analysis:
# Examine conditional branches
# Look for authentication bypasses
# Check error handling paths
# Identify race conditions
# Memory corruption detection:
# Look for:
# - Buffer overflows
# - Integer overflows
# - Use-after-free
# - Double-free
# - Format string vulnerabilities
# Cryptographic analysis:
# Identify crypto implementations
# Look for:
# - Weak random number generation
# - Hard-coded keys
# - Weak algorithms
# - Implementation flaws
Integrazione ed Estensioni¶
Integrazione di Strumenti¶
# IDA Pro integration:
# Export from IDA: File -> Produce file -> Create MAP file
# Import to Ghidra: File -> Import File -> Select MAP file
# Radare2 integration:
# Export r2 analysis: r2 -c "aaa; afn" binary > functions.txt
# Import function names to Ghidra via script
# Binary Ninja integration:
# Use community plugins for data exchange
# Export/import function signatures and comments
# Debugger integration:
# GDB integration via scripts
# Export symbols for debugging
# Import debugging information
# Disassembler comparison:
# Use multiple tools for verification
# Cross-reference findings
# Validate analysis results
Sviluppo di Plugin¶
# Plugin structure:
# Ghidra plugins are Java-based
# Extend GhidraPlugin class
# Implement required methods
# Plugin development setup:
# Install Ghidra development environment
# Set up Eclipse or IntelliJ IDEA
# Configure Ghidra SDK
# Basic plugin template:
# Create new Java project
# Add Ghidra libraries to classpath
# Implement plugin functionality
# Build and install plugin
# Plugin installation:
# Copy plugin JAR to Ghidra Extensions directory
# Restart Ghidra
# Enable plugin in Tool -> Configure Tool
# Extension development:
# Create custom analyzers
# Add new file format support
# Implement custom processors
# Develop specialized analysis tools
Il set di funzionalità complete di Ghidra, la sua natura open-source e le potenti capacità di decompilazione lo rendono uno strumento eccezionale per il reverse engineering e l'analisi binaria. Le sue funzionalità collaborative consentono progetti di analisi basati su team, mentre le sue capacità di scripting permettono l'automazione e la personalizzazione. Che sia utilizzato per l'analisi di malware, ricerca di vulnerabilità, reverse engineering del firmware o analisi software generale, Ghidra fornisce la profondità e la flessibilità necessarie per comprendere programmi binari complessi. Lo sviluppo continuo dello strumento da parte dell'NSA e della comunità open-source garantisce che rimanga all'avanguardia della tecnologia di reverse engineering, rendendo le capacità di analisi avanzate accessibili a ricercatori, professionisti della sicurezza e sviluppatori in tutto il mondo.