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.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.
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.
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.
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.
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.
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.
Understand Your Network in Real Time
Build a powerful packet sniffer to explore network activity, inspect data flow, and uncover potential vulnerabilities.