PRODIGY_CS_05

🔐 Network Packet Analyzer

A SOC-style real-time network packet analyzer built using Python, Scapy, and Tkinter. This project captures live network packets, displays them in a modern dashboard interface, and provides packet filtering, payload inspection, timestamp logging, and CSV export functionality.

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🚀 Features

• 📡 Real-time packet sniffing
• 🧵 Multithreaded packet capture
• 🎯 Protocol filtering (TCP / UDP / ICMP / OTHER)
• 🕒 Live timestamp logging
• 📦 Payload extraction and inspection
• 📊 Dynamic packet counter
• 📜 Auto-scrolling packet table
• 🎨 SOC-style dark dashboard UI
• 🧹 Clear packet data functionality
• 💾 Export captured packets to CSV
• 📈 Protocol-based row coloring
• ⚡ Live status monitoring system

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🛠️ Technologies Used

• Python
• Tkinter
• Scapy
• CSV Module
• Threading
• Datetime Module

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📷 Project Preview

🖥️ Main Dashboard

📂 Additional Screenshots

More screenshots are available inside the screenshots/ folder.

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⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/harshini2127/PRODIGY_CS_05.git

2️⃣ Navigate to Project Folder

cd PRODIGY_CS_05

3️⃣ Install Required Libraries

pip install scapy

4️⃣ Run the Application

python packet_analyzer.py

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🖥️ How It Works

1. Start packet sniffing using the Start Sniffing button.
2. Captured packets are displayed live in the packet table.
3. Filter packets using the protocol dropdown menu.
4. Inspect packet payloads and timestamps.
5. Clear packet data when needed.
6. Export packet logs into a CSV file.

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📂 Exported CSV Data

The exported CSV file contains:

• Packet Number
• Timestamp
• Source IP Address
• Destination IP Address
• Protocol
• Payload

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🔮 Future Improvements

• Packet search functionality
• Advanced filtering options
• Packet statistics visualization
• Suspicious traffic detection
• Custom dashboard themes
• PCAP file export support

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👩‍💻 Author

Harshini