Introduction
Build a Wireshark-like packet analyzer with live capture, protocol dissection, and traffic visualization dashboard. This comprehensive guide covers everything from design through implementation, testing, and deployment.
Network Packet Analyzer
Build a Wireshark-like packet analyzer with live capture, protocol dissection, and traffic visualization dashboard.
DifficultyIntermediate
Duration2–3 weeks
Components10 items
Steps2 steps
Theory & Background
Implement dissectors for common protocols: DNS (parse query/response type, domain names, answers), HTTP (verb, URL, status code, headers), TLS (handshake type, cipher suites — but not payload — it
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Components & Requirements
10 components required for this project.
| # | Component | Purpose | Qty |
|---|---|---|---|
| 1 | Python 3.10+ | Packet capture and analysis | x1 |
| 2 | Scapy | Packet capture and protocol dissection | x1 |
| 3 | PyQt5 or Tkinter | GUI like Wireshark | x1 |
| 4 | Matplotlib / Plotly | Traffic visualization | x1 |
| 5 | dpkt (alternative to Scapy) | Fast PCAP parsing | x1 |
| 6 | SQLite | Packet database for filtering and search | x1 |
| 7 | curses (terminal mode) | Terminal-based live view | x1 |
| 8 | Pandas | Traffic analysis and statistics | x1 |
| 9 | GeoIP2 database | IP geolocation for traffic mapping | x1 |
| 10 | tshark (Wireshark CLI) | Reference comparison | x1 |
Step-by-Step Implementation
Follow these 2 steps carefully.
1
Protocol Dissection
Implement dissectors for common protocols: DNS (parse query/response type, domain names, answers), HTTP (verb, URL, status code, headers), TLS (handshake type, cipher suites — but not payload — it
2
Traffic Statistics and Visualization
Compute statistics: top talkers (src IP by volume), top protocols by packet count, bandwidth usage over time (packets/second, bytes/second), connection duration distribution, DNS query/response time, HTTP response code distribution. Plot with Matplotlib: time-series bandwidth graph updating every second, protocol pie chart, geographic traffic map using GeoIP database. Export statistics to CSV for offline analysis.
Code & Implementation
Core code for packet_analyzer.py:
packet_analyzer.py
Python
Testing & Troubleshooting
Test Network Packet Analyzer by verifying each subsystem individually before full integration.
Troubleshooting Tips
Verify power voltages, check ground connections, use serial monitor for debug.
Real-World Applications
Network troubleshooting and diagnostics
Security audit and penetration testing
Protocol development and testing
Network performance monitoring
Forensic network analysis
IoT device communication auditing
Firewall rule testing validation
Malware network behavior analysis
Extensions & Next Steps
- Add deep packet inspection with Suricata rule matching
- Implement protocol fuzzing to find vulnerabilities
- Build a reassembly engine for TCP stream reconstruction
- Add TLS certificate extraction and analysis
- Implement NetFlow/IPFIX export for integration with SIEM
Interactive Playground
Coming SoonAn interactive simulator will be available here — simulate circuits and run code in-browser without hardware.
Frequently Asked Questions
Can I use a packet analyzer to intercept others
On a switched Ethernet network: you can only capture your own traffic and broadcasts (ARP, DHCP) unless the switch mirror port or switch SPAN feature is configured. On WiFi (promiscuous mode): you can see all traffic on the same WiFi access point if unencrypted. Modern networks use WPA2/WPA3 — traffic is encrypted per-client with unique keys, making interception of other clients
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