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Build a Network Packet Sniffer and Analyzer

Develop a real-time packet sniffer to capture, analyze, and log network traffic — an essential cybersecurity project to understand threats, protocols, and data communication.

Why Build a Packet Sniffer?

Understanding what happens inside a network is crucial for diagnosing problems, detecting intrusions, and securing data. A packet sniffer allows cybersecurity professionals to inspect live traffic, analyze packet content, detect anomalies, and monitor unauthorized activity or data leakage.

Core Features of the Tool

This tool captures incoming and outgoing packets from network interfaces, parses protocol headers (TCP, IP, UDP, DNS, HTTP), and displays readable summaries. It can be extended to flag suspicious packets, export logs, or visualize traffic graphs.

Key Features to Implement

Live Packet Capture

Capture raw packets using sockets or libraries like Scapy or pyshark from selected network interfaces.

Protocol Parsing & Display

Decode IP, TCP, UDP, and application-level headers like DNS and HTTP in human-readable format.

Packet Filtering & Search

Allow filters by port, IP address, protocol, or keywords to trace specific network activity.

Logging & Export Options

Export logs as CSV or JSON and optionally display analytics like traffic volume per IP or protocol.

How the Sniffer Works

The sniffer uses raw sockets or a library to intercept packets directly from the network interface. Each packet is parsed to extract headers and payload. The data is formatted and displayed in a dashboard or saved for offline analysis.

  • Select network interface (e.g., eth0, wlan0) for sniffing.
  • Capture packets in real time using low-level socket access or Scapy.
  • Parse and display details like source/destination IP, protocol, and packet size.
  • Allow filtering by protocol or IP to investigate specific flows.
  • Log packet details and optionally visualize traffic trends or suspicious spikes.
Recommended Tech Stack

Programming Language

Python for quick development using Scapy, pyshark, or socket libraries.

Interface & UI

Tkinter or Flask + React for a GUI or browser-based dashboard.

Libraries & Tools

Scapy for packet crafting and analysis, pyshark for wrapper around tshark.

Logging & Storage

Pandas or SQLite for storing packet metadata; Matplotlib for traffic visualization.

Step-by-Step Build Plan

1. Set Up Packet Capture

Use Scapy or raw sockets to capture packets from a specified interface.

2. Decode Packet Headers

Parse headers from Ethernet, IP, TCP/UDP, and display their fields.

3. Build Filter System

Allow real-time filtering by protocol, port, IP address, or search terms.

4. Develop Frontend Dashboard

Show real-time packets, search results, and basic stats in a UI or CLI.

5. Add Logging and Exporting

Enable saving captured packets to CSV, JSON, or database for further review.

Helpful Resources for Development

Understand Your Network in Real Time

Build a powerful packet sniffer to explore network activity, inspect data flow, and uncover potential vulnerabilities.

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