🔍 Advanced DLL/EXE Analyzer - Professional Malware Analysis & Reverse Engineering Toolkit

⚠️ Legal Notice: Use these tools only for legitimate reverse engineering, malware analysis, and security research purposes on software you own or have explicit permission to analyze.

🚀 PROFESSIONAL EDITION - ENTERPRISE-GRADE FEATURES

🎯 Interactive Analysis Mode

Quick Security Assessment - Instant risk scoring (0-100)
18 Detailed Analysis Options - Deep dive into every aspect
Real-time Threat Detection - Identify malware immediately
Windows Console Compatible - No encoding issues

🔓 Advanced Unpacking Capabilities

UPX Detection & Unpacking - Automatically unpack UPX-packed malware
Packed Section Analysis - Find hidden code regions
Entry Point Analysis - Locate real malicious code
Hidden String Extraction - Extract strings from packed regions
Entropy Distribution - Visualize packed vs unpacked areas

🌐 Network Threat Intelligence

186+ URL Extraction - Find all C&C servers
IP Address Discovery - Direct connection endpoints
Registry Key Analysis - Persistence mechanisms
API Pattern Detection - Anti-analysis techniques

🛡️ Security Risk Assessment

Critical Risk Scoring - 80/100 for dangerous files
Timeline Analysis - Future timestamp detection
Certificate Verification - Digital signature analysis
Code Pattern Analysis - Anti-debug, anti-VM, anti-sandbox

🏗️ NEW PROFESSIONAL ARCHITECTURE

Configuration Management - Centralized settings with JSON persistence
Professional Logging - Rotating logs with security event tracking
Plugin System - Extensible architecture for custom analysis
Database Storage - SQLite for persistent analysis results
Web Dashboard - Flask-based interface for visualization
Testing Framework - Automated unit and integration tests
Build Automation - Windows batch scripts for development

📦 Installation

Windows (Recommended)

# Clone the repository
git clone https://github.com/z0uz/dll-analyzer.git
cd dll-analyzer

# Install with development dependencies
.\build.bat install-dev

# Or install manually
pip install -r requirements.txt
pip install -e .

Linux/Mac

# Clone the repository
git clone https://github.com/z0uz/dll-analyzer.git
cd dll-analyzer

# Install dependencies
pip install -r requirements.txt
pip install -e .

Requirements

pefile>=2023.2.7
capstone>=4.0.2
Flask>=2.3.0
python>=3.7

🎮 Quick Start

🔥 Interactive Mode (Easiest)

# Windows
.\build.bat run

# Linux/Mac
python dll_analyzer.py

# Example output:
# QUICK SECURITY ASSESSMENT
# • Risk Score: 80/100
# • Risk Level: CRITICAL  
# • Action: DO NOT EXECUTE - Analyze in isolated sandbox
# • Packed: Yes WARNING
# • Signed: No WARNING
# • URLs Found: 186 WARNING

🌐 Web Dashboard

# Start web interface
.\build.bat web

# Open browser to http://localhost:5000
# Features:
# - Real-time analysis results
# - IOC search and filtering
# - Export capabilities (JSON/CSV)
# - Statistics and reporting

📊 Command Line Analysis

# Basic DLL analysis
python dll_analyzer.py "C:\Windows\System32\kernel32.dll"

# Export to JSON
python dll_analyzer.py "malware.exe" -o analysis.json -f json

# Export to text report
python dll_analyzer.py "malware.exe" -o report.txt -f txt

# Targeted analysis
python dll_analyzer.py "file.exe" --strings-only
python dll_analyzer.py "file.dll" --exports-only
python dll_analyzer.py "file.dll" --imports-only

🛠️ Development Commands

Windows Build System

# Development setup
.\build.bat install-dev

# Run tests
.\build.bat test

# Code formatting
.\build.bat format

# Linting
.\build.bat lint

# Clean project
.\build.bat clean

# Security audit
.\build.bat security-audit

# Create plugin
.\build.bat create-plugin

# Performance benchmark
.\build.bat benchmark

Linux/Mac Makefile

# Development setup
make install-dev

# Run tests
make test

# Code formatting
make format

# Clean project
make clean

🔧 Professional Features

📈 Configuration Management

from config import config

# Access settings
max_size = config.get('analysis.max_file_size')
risk_threshold = config.get('security.risk_threshold_high')

# Update settings
config.set('analysis.enable_deep_analysis', True)
config.save_config()

📝 Professional Logging

from logger import logger

# Log analysis events
logger.log_analysis_start(file_path, file_size)
logger.log_security_event("suspicious_import", {"function": "CreateRemoteThread"})
logger.error("Analysis failed", exception=e, context={"file": file_path})

🔌 Plugin Development

from plugin_system import AnalysisPlugin

class CustomPlugin(AnalysisPlugin):
    @property
    def name(self):
        return "custom_plugin"
    
    def analyze(self, pe_file, config):
        return {"custom_result": "analysis_data"}

💾 Database Integration

from database import AnalysisDatabase

# Store analysis results
db = AnalysisDatabase()
analysis_id = db.store_analysis(results)

# Search IOCs
ioc_results = db.search_iocs("malicious.com")

# Get statistics
stats = db.get_statistics()

🌐 Web Interface Features

Dashboard

Real-time Statistics - Analysis overview and trends
Recent Analyses - Latest processed files
Risk Distribution - Visual risk level breakdown
IOC Search - Search for indicators across all analyses

Analysis Details

Comprehensive Reports - Full analysis breakdown
Export Options - JSON, CSV, and text formats
Plugin Results - Custom plugin analysis data
Timeline View - Analysis history and trends

🧪 Testing Framework

Unit Tests

# Run all tests
.\build.bat test

# Run specific test
python -m pytest tests.py::TestDLLAnalyzer::test_file_loading

# Coverage report
python -m pytest tests.py --cov=. --cov-report=html

Integration Tests

Real PE file analysis
Database operations
Plugin system validation
Web interface testing

🔌 Plugin System

Available Plugins

Entropy Analysis - Advanced entropy calculation and visualization
YARA Rules - Malware pattern matching (requires yara-python)
Custom Plugins - Easy plugin development framework

Creating Plugins

# Create plugin template
.\build.bat create-plugin

# Edit plugins/custom_plugin.py
# Plugin automatically loads on next run

📊 Output Formats

JSON Format

{
  "dll_info": {
    "file_path": "malware.exe",
    "machine_type": "AMD64",
    "is_64bit": true,
    "file_size": 1024576
  },
  "characteristics": {
    "is_packed": true,
    "is_signed": false,
    "is_dotnet": false,
    "has_high_entropy": true
  },
  "embedded_urls": [
    "https://api.malware[.]com/update"
  ],
  "ip_addresses": [
    "203.0.113.45"
  ],
  "security_score": 80,
  "risk_level": "CRITICAL",
  "plugin_results": {
    "entropy_analysis": {
      "average_entropy": 7.2,
      "packed_sections": [".text"]
    }
  }
}

🎯 Use Cases

🔒 Malware Analysis

Sandbox Pre-analysis - Quick triage before sandbox
Threat Intelligence - Extract IOCs and indicators
Family Identification - Compare with known malware
Behavior Prediction - Anticipate malware actions

🔍 Reverse Engineering

API Analysis - Understand software dependencies
Function Discovery - Find exported functions
Import Analysis - See what libraries are used
Structure Analysis - Understand PE file layout

🛡️ Security Research

Vulnerability Research - Find security issues
Digital Forensics - Analyze suspicious files
Incident Response - Quick malware identification
Security Auditing - Verify file authenticity

⚠️ Ethical Guidelines

Only analyze software you own or have explicit permission
Respect license agreements and terms of service
Follow local laws and regulations
Use for educational purposes and legitimate security research
Do not distribute copyrighted material
Analyze malware in isolated environments only

🔧 Dependencies

Core

pefile: PE file format parsing
capstone: Disassembly framework
Python 3.7+: Core runtime requirement

Web Interface

Flask: Web framework
Jinja2: Template engine

Development

pytest: Testing framework
black: Code formatting
flake8: Linting
mypy: Type checking

Optional

yara-python: YARA rule matching
sphinx: Documentation generation

🐛 Troubleshooting

Common Issues

"DLL not found": Check file path and permissions
"Access denied": Run as administrator for system files
"Capstone not available": Install with pip install capstone
"Invalid PE file": Verify file is a valid Windows DLL/EXE
"Unicode errors": Tool handles Windows console encoding
"Web interface not starting": Check port 5000 availability

Windows Specific

Use .\build.bat commands instead of make
Run PowerShell/CMD as Administrator for system files
Check Windows Defender exclusions for malware analysis

🚀 Advanced Usage

Python API

from dll_analyzer import DLLAnalyzer
from database import AnalysisDatabase
from plugin_system import PluginManager

# Create analyzer instance
analyzer = DLLAnalyzer("suspicious.exe")
analyzer.load_dll()
results = analyzer.full_analysis()

# Store in database
db = AnalysisDatabase()
analysis_id = db.store_analysis(results)

# Run plugins
plugin_manager = PluginManager()
plugin_results = plugin_manager.run_all_plugins(analyzer.pe, config.config)

Batch Analysis

import os
from dll_analyzer import DLLAnalyzer

# Analyze all files in directory
for file_path in os.listdir("malware_samples"):
    if file_path.endswith(('.exe', '.dll')):
        analyzer = DLLAnalyzer(f"malware_samples/{file_path}")
        analyzer.load_dll()
        results = analyzer.full_analysis()
        
        # Export high-risk files
        if results.get('security_score', 0) > 70:
            with open(f"reports/{file_path}_report.json", 'w') as f:
                json.dump(results, f, indent=2)

🛡️ Security Considerations

🔒 Analyze in isolated environments (VMs, sandboxes)
⚠️ Be cautious with malicious files
🖥️ Use virtual machines for suspicious samples
🔄 Keep analysis tools updated
📝 Document findings for threat intelligence
🚫 Never execute malware on host systems

🤝 Contributing

Development Setup

git clone https://github.com/z0uz/dll-analyzer.git
cd dll-analyzer
.\build.bat install-dev

Contributing Guidelines

Bug Reports: Issues with file analysis
Feature Requests: New analysis capabilities
Plugin Development: Custom analysis modules
Documentation: Enhanced README and examples
Testing: Additional test cases

Code Quality

Follow PEP 8 style guidelines
Add unit tests for new features
Update documentation
Use .\build.bat format before commits

📄 License

This project is provided for educational and legitimate security research purposes only. Users are responsible for ensuring compliance with applicable laws and regulations.

⭐ Professional Features Summary

✅ Enterprise-grade logging with rotation
✅ Persistent database storage
✅ Extensible plugin architecture
✅ Web dashboard interface
✅ Automated testing framework
✅ Professional configuration management
✅ Cross-platform compatibility
✅ Comprehensive documentation

🔥 Ready to analyze malware? Start with the web dashboard:

.\build.bat web
# Open http://localhost:5000

Stay safe, analyze smart! 🛡️


---

## 🎮 **Usage Examples**

### **🔥 Interactive Mode (NEW!)**
```bash
# Interactive analysis with menu-driven options
python dll_analyzer.py "suspicious_file.exe"

# Example output:
# QUICK SECURITY ASSESSMENT
# • Risk Score: 80/100
# • Risk Level: CRITICAL  
# • Action: DO NOT EXECUTE - Analyze in isolated sandbox
# • Packed: Yes WARNING
# • Signed: No WARNING
# • URLs Found: 186 WARNING

📊 Quick Analysis

# Basic DLL analysis
python dll_analyzer.py C:\Windows\System32\kernel32.dll

# Export to JSON
python dll_analyzer.py "malware.exe" -o analysis.json -f json

# Export to text report
python dll_analyzer.py "malware.exe" -o report.txt -f txt

🎯 Targeted Analysis

# Extract only strings
python dll_analyzer.py "file.exe" --strings-only

# Extract only exports
python dll_analyzer.py "file.dll" --exports-only

# Extract only imports
python dll_analyzer.py "file.dll" --imports-only

🔧 Interactive Analysis Options

When you run the tool in interactive mode, you'll see this menu:

DETAILED ANALYSIS OPTIONS:
1. Show all embedded URLs
2. Analyze suspicious imports
3. Show dependency details
4. Extract and analyze strings
5. Check for .NET metadata
6. Show file hashes for malware checking
7. Analyze entropy distribution
8. Detect packing algorithms
9. Extract IP addresses
10. Analyze code patterns (anti-analysis)
11. File timeline analysis
12. Certificate analysis
13. Attempt UPX unpacking
14. Analyze packed sections
15. Extract hidden strings
16. Entry point analysis
17. Generate comprehensive security report
18. Exit

🚨 Real-World Malware Analysis

Critical Risk Detection Example:

FINAL ASSESSMENT:
• Security Score: 80/100
• Risk Level: CRITICAL
• Action: DO NOT EXECUTE - Analyze in isolated sandbox

ISSUES FOUND:
   1. Packed/obfuscated executable
   2. No digital signature
   3. High number of embedded URLs (186)
   4. Suspicious future timestamp

RECOMMENDATIONS:
   • Unpack using UPX or manual unpacking
   • Decompile with dnSpy to view source
   • Investigate embedded URLs
   • Submit to VirusTotal for malware analysis
   • Run in sandbox (Cuckoo, Any.Run)

Tools Included

1. dll_analyzer.py (ENHANCED)

Advanced malware analysis tool with:

Interactive Mode - Menu-driven analysis
Security Scoring - 0-100 risk assessment
Unpacking Capabilities - UPX detection and extraction
Network Intelligence - URL/IP extraction
Threat Detection - Anti-analysis techniques
Timeline Analysis - Timestamp anomalies
Certificate Analysis - Digital signature verification
Entropy Analysis - Packed region detection
Hidden String Extraction - Extract from packed areas
Entry Point Analysis - Find real malicious code

2. disassembler.py

Advanced analysis tool with:

Function disassembly (requires Capstone)
Pattern recognition
Import heuristics analysis
Section entropy analysis
Function signature generation
Suspicious API detection

🔍 Advanced Features

🔓 Unpacking Analysis

UPX Detection: Automatically detects UPX-packed malware
Manual Unpacking: Attempts to extract original code
Entry Point Analysis: Finds real malicious code location
Packed Sections: Identifies hidden/encrypted regions

🌐 Network Intelligence

URL Extraction: Finds all HTTP/HTTPS endpoints
IP Discovery: Direct connection endpoints
C&C Detection: Command & Control server identification
Protocol Analysis: HTTP, WebSocket, custom protocols

🛡️ Threat Detection

Anti-Analysis: Detects debuggers, VMs, sandboxes
Persistence: Registry, services, scheduled tasks
Evasion: Sleep delays, time checks, API hooks
Injection: Process injection, DLL injection

📊 Risk Assessment

Security Scoring: 0-100 risk assessment
Timeline Analysis: Future timestamp detection
Certificate Analysis: Digital signature verification
Entropy Analysis: Packed vs unpacked regions

📋 Output Formats

JSON Format

{
  "dll_info": {
    "file_path": "malware.exe",
    "machine_type": "AMD64",
    "is_64bit": true,
    "file_size": 1024576
  },
  "characteristics": {
    "is_packed": true,
    "is_signed": false,
    "is_dotnet": false,
    "has_high_entropy": true
  },
  "embedded_urls": [
    "https://api.chatgpt[.]malware[.]com/update",
    "https://c2-server[.]xyz/heartbeat"
  ],
  "ip_addresses": [
    "203.0.113.45",
    "198.51.100.23"
  ],
  "security_score": 80,
  "risk_level": "CRITICAL"
}

Text Report Format

Human-readable reports with:

Security Assessment Summary
Detailed Technical Analysis
Recommendations for Next Steps
Threat Intelligence Indicators

🎯 Use Cases

🔒 Malware Analysis

Sandbox Pre-analysis: Quick triage before sandbox
Threat Intelligence: Extract IOCs and indicators
Family Identification: Compare with known malware
Behavior Prediction: Anticipate malware actions

🔍 Reverse Engineering

API Analysis: Understand software dependencies
Function Discovery: Find exported functions
Import Analysis: See what libraries are used
Structure Analysis: Understand PE file layout

🛡️ Security Research

Vulnerability Research: Find security issues
Digital Forensics: Analyze suspicious files
Incident Response: Quick malware identification
Security Auditing: Verify file authenticity

⚠️ Ethical Guidelines

Only analyze software you own or have explicit permission
Respect license agreements and terms of service
Follow local laws and regulations
Use for educational purposes and legitimate security research
Do not distribute copyrighted material
Analyze malware in isolated environments only

🔧 Dependencies

pefile: PE file format parsing
capstone: Disassembly framework (optional for advanced features)
Python 3.7+: Core runtime requirement

🐛 Troubleshooting

Common Issues

"DLL not found": Check file path and permissions
"Access denied": Run as administrator for system files
"Capstone not available": Install with pip install capstone
"Invalid PE file": Verify file is a valid Windows DLL/EXE
"Unicode errors": Tool handles Windows console encoding

Tips

Use absolute paths for system files
Run as admin for system DLL analysis
Large files may take time to analyze
Export results for large analyses
Use interactive mode for suspicious files

🚀 Advanced Usage

Python API

from dll_analyzer import DLLAnalyzer

# Create analyzer instance
analyzer = DLLAnalyzer("suspicious.exe")

# Load and analyze
analyzer.load_dll()
results = analyzer.full_analysis()

# Check security score
if results['security_score'] > 50:
    print("HIGH RISK DETECTED!")
    print(f"URLs found: {len(results['embedded_urls'])}")
    print(f"IP addresses: {len(results['ip_addresses'])}")

# Unpacking analysis
upx_result = analyzer.attempt_upx_unpack()
if upx_result['upx_detected']:
    print("UPX-packed malware detected!")

Batch Analysis

import os
from dll_analyzer import DLLAnalyzer

# Analyze all files in directory
for file_path in os.listdir("malware_samples"):
    if file_path.endswith(('.exe', '.dll')):
        analyzer = DLLAnalyzer(f"malware_samples/{file_path}")
        results = analyzer.full_analysis()
        
        # Export high-risk files
        if results.get('security_score', 0) > 70:
            with open(f"reports/{file_path}_report.json", 'w') as f:
                json.dump(results, f, indent=2)

🛡️ Security Considerations

🔒 Analyze in isolated environments (VMs, sandboxes)
⚠️ Be cautious with malicious files
🖥️ Use virtual machines for suspicious samples
🔄 Keep analysis tools updated
📝 Document findings for threat intelligence
🚫 Never execute malware on host systems

🤝 Contributing

Feel free to submit issues and enhancement requests for legitimate security research use cases:

Bug Reports: Issues with file analysis
Feature Requests: New analysis capabilities
Improvements: Better detection algorithms
Documentation: Enhanced README and examples

📄 License

This project is provided for educational and legitimate security research purposes only. Users are responsible for ensuring compliance with applicable laws and regulations.

⭐ Star History

🔥 Ready to analyze malware? Start with interactive mode:

python dll_analyzer.py "suspicious_file.exe"

Stay safe, analyze smart! 🛡️

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
templates		templates
.gitignore		.gitignore
Makefile		Makefile
README.md		README.md
build.bat		build.bat
build.ps1		build.ps1
config.py		config.py
database.py		database.py
disassembler.py		disassembler.py
dll_analyzer.py		dll_analyzer.py
examples.py		examples.py
logger.py		logger.py
plugin_system.py		plugin_system.py
quick_demo.py		quick_demo.py
requirements.txt		requirements.txt
setup.py		setup.py
tests.py		tests.py
web_interface.py		web_interface.py

z0uz/DLL-Analyzer

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🔍 Advanced DLL/EXE Analyzer - Professional Malware Analysis & Reverse Engineering Toolkit

🚀 PROFESSIONAL EDITION - ENTERPRISE-GRADE FEATURES

🎯 Interactive Analysis Mode

🔓 Advanced Unpacking Capabilities

🌐 Network Threat Intelligence

🛡️ Security Risk Assessment

🏗️ NEW PROFESSIONAL ARCHITECTURE

📦 Installation

Windows (Recommended)

Linux/Mac

Requirements

🎮 Quick Start

🔥 Interactive Mode (Easiest)

🌐 Web Dashboard

📊 Command Line Analysis

🛠️ Development Commands

Windows Build System

Linux/Mac Makefile

🔧 Professional Features

📈 Configuration Management

📝 Professional Logging

🔌 Plugin Development

💾 Database Integration

🌐 Web Interface Features

Dashboard

Analysis Details

🧪 Testing Framework

Unit Tests

Integration Tests

🔌 Plugin System

Available Plugins

Creating Plugins

📊 Output Formats

JSON Format

🎯 Use Cases

🔒 Malware Analysis

🔍 Reverse Engineering

🛡️ Security Research

⚠️ Ethical Guidelines

🔧 Dependencies

Core

Web Interface

Development

Optional

🐛 Troubleshooting

Common Issues

Windows Specific

🚀 Advanced Usage

Python API

Batch Analysis

🛡️ Security Considerations

🤝 Contributing

Development Setup

Contributing Guidelines

Code Quality

📄 License

⭐ Professional Features Summary

📊 Quick Analysis

🎯 Targeted Analysis

🔧 Interactive Analysis Options

🚨 Real-World Malware Analysis

Critical Risk Detection Example:

Tools Included

1. dll_analyzer.py (ENHANCED)

2. disassembler.py

🔍 Advanced Features

🔓 Unpacking Analysis

🌐 Network Intelligence

🛡️ Threat Detection

📊 Risk Assessment

📋 Output Formats

JSON Format

Text Report Format

🎯 Use Cases

🔒 Malware Analysis

Packages