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.
Capture raw packets using sockets or libraries like Scapy or pyshark from selected network interfaces.
Decode IP, TCP, UDP, and application-level headers like DNS and HTTP in human-readable format.
Allow filters by port, IP address, protocol, or keywords to trace specific network activity.
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.
Python for quick development using Scapy, pyshark, or socket libraries.
Tkinter or Flask + React for a GUI or browser-based dashboard.
Scapy for packet crafting and analysis, pyshark for wrapper around tshark.
Pandas or SQLite for storing packet metadata; Matplotlib for traffic visualization.
Use Scapy or raw sockets to capture packets from a specified interface.
Parse headers from Ethernet, IP, TCP/UDP, and display their fields.
Allow real-time filtering by protocol, port, IP address, or search terms.
Show real-time packets, search results, and basic stats in a UI or CLI.
Enable saving captured packets to CSV, JSON, or database for further review.
Build a powerful packet sniffer to explore network activity, inspect data flow, and uncover potential vulnerabilities.
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