🎯 InstaReporter

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🌟 Features

🎯 Dual Attack Modes

• Profile Reporting: Target specific Instagram user profiles
• Video Content Reporting: Report individual video posts

⚡ High-Performance Architecture

• Multiprocessing Engine: Up to 5 concurrent processes for maximum efficiency
• Smart Load Distribution: Automatic proxy chunking (10 proxies per process)
• Intelligent Fallback: No-proxy mode with 10 requests per process

🛡️ Advanced Anonymity System

• Dynamic Proxy Support: Built-in proxy harvesting from internet sources
• Custom Proxy Lists: Support for user-provided proxy files (max 50)
• User Agent Rotation: 90+ realistic browser user agents
• Protocol Intelligence: Automatic HTTP/HTTPS proxy configuration

🎨 Professional User Interface

• Colorized Console Output: Beautiful terminal interface with status indicators
• Real-time Progress Tracking: Live transaction monitoring
• Error Handling: Comprehensive error reporting with detailed diagnostics

🚀 Quick Start

Prerequisites

# Python 3.7 or higher required  [1](#header-1)
python --version  

Installation

1. Clone the repository

git clone https://github.com/muneebwanee/InstaReporter.git  
cd InstaReporter  

2. Install dependencies

pip install requests colorama asyncio proxybroker  

3. Run the application

python InstaReporter.py  

📋 Usage Guide

🎯 Interactive Mode

The application provides an intuitive step-by-step interface:

1. Proxy Configuration
   • Choose to use proxies or run without them
   • Auto-harvest proxies from the internet
   • Or provide your own proxy list file
2. Attack Mode Selection
   • 1 - Report Instagram profiles
   • 2 - Report Instagram videos
3. Target Specification
   • Enter the username (for profiles)
   • Enter the video URL (for videos)

📁 Proxy File Format

Create a text file with one proxy per line:

proxy1.example.com:8080  
proxy2.example.com:3128  
192.168.1.100:8080  

🏗️ Architecture Overview

🔧 Core Components

• Main Orchestrator (InstaReporter.py): Process management and user interaction
• Attack Engine (libs/attack.py): HTTP request handling and form submission
• Proxy Harvester (libs/proxy_harvester.py): Automatic proxy discovery
• Utility Suite (libs/utils.py): Console interface and file operations

🔄 Workflow Architecture

graph TB  
    A[User Input] --> B{Proxy Choice}  
    B -->|Yes| C[Proxy Harvesting]  
    B -->|No| D[Direct Mode]  
    C --> E[Attack Mode Selection]  
    D --> E  
    E --> F{Profile or Video}  
    F -->|Profile| G[Profile Attack Process]  
    F -->|Video| H[Video Attack Process]  
    G --> I[Multiprocess Execution]  
    H --> I  
    I --> J[Success/Error Reporting]  

🎯 Attack Process Flow

1. Session Initialization: Create HTTP session with proxy configuration
2. Authentication Chain: Facebook → Instagram cookie extraction
3. Form Parameter Extraction: Dynamic token and session data parsing
4. Report Submission: POST request to Instagram's help infrastructure
5. Response Validation: Success/error status verification

⚙️ Configuration

🔧 Performance Tuning

🛡️ Security Features

• Dynamic User Agents: Automatic browser user agent rotation
• Cookie Management: Automatic session handling
• Error Resilience: Comprehensive exception handling
• Protocol Flexibility: HTTP/HTTPS proxy support

📊 System Requirements

🖥️ Minimum Requirements

• OS: Windows 7+, macOS 10.12+, Linux (any modern distro)
• Python: 3.7 or higher
• RAM: 512MB available memory
• Network: Stable internet connection

📦 Dependencies

• requests[socks] - HTTP client with SOCKS proxy support
• colorama - Cross-platform colored terminal text
• asyncio - Asynchronous I/O operations
• proxybroker - Proxy discovery and validation

🛠️ Development

📁 Project Structure

InstaReporter/  
├── InstaReporter.py          # Main application entry point  
├── libs/  
│   ├── attack.py            # Core attack functionality  
│   ├── proxy_harvester.py   # Automatic proxy discovery  
│   ├── user_agents.py       # Browser user agent rotation  
│   ├── utils.py             # Utility functions  
│   ├── logo.py              # Branding and UI elements  
│   └── check_modules.py     # Dependency validation  
└── README.md                # This file  

🔍 Key Functions

• chunks(): Proxy list segmentation for multiprocessing
• profile_attack_process(): Profile reporting worker
• video_attack_process(): Video reporting worker
• report_profile_attack(): Core profile attack logic
• report_video_attack(): Core video attack logic

⚠️ Legal Disclaimer

This tool is designed for educational and research purposes only. Users are responsible for:

• ✅ Complying with Instagram's Terms of Service
• ✅ Following local and international laws
• ✅ Using the tool ethically and responsibly
• ❌ Not engaging in harassment or malicious activities

The developers assume no responsibility for misuse of this software.

🤝 Contributing

We welcome contributions! Here's how you can help:

1. 🍴 Fork the repository
2. 🌿 Create a feature branch (git checkout -b feature/amazing-feature)
3. 💾 Commit your changes (git commit -m 'Add amazing feature')
4. 📤 Push to the branch (git push origin feature/amazing-feature)
5. 🔄 Open a Pull Request

🐛 Bug Reports

Found a bug? Please open an issue with:

• Detailed description
• Steps to reproduce
• Expected vs actual behavior
• System information

📞 Support & Contact

📄 License

This project is licensed under the Educational License - see the LICENSE file for details.