pcap-analyzer 0.1.4

A lightweight CLI tool for analyzing pcap files

PCAP Analyzer

This project is a lightweight, simple CLI tool written in Python designed to analyse .pcap files and offer insight in the network traffic without the overhead of full packet inspections.

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Introduction

Network administrators often need to quickly analyze .pcap files to understand traffic patterns, protocol usage, and network performance. Tools like Wireshark offer deep inspection but can be heavy and overkill for simple summaries.

PCAP Analyzer fills this gap by offering a lightweight, scriptable CLI tool that provides essential network insights without the overhead.

Features

Option	Description
--printall	Shows all IP traffic as source → destination.
--showprotocols	Displays the number of packets per IP protocol (such as TCP, UDP, ICMP).
--toptalkers	Shows the top 5 most active sending IP addresses.
--throughput	Calculates total throughput in Mbps over the duration of the capture.
--data_packet_rtt	Measures average latency (RTT) between data packets and their ACKs.
--extract_dns_domains	Lists unique domains queried via DNS.

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Non-functional Specifications

• Performance: Analyze .pcap files up to 100MB in under 5 seconds on modern hardware.
• Platform Support: Compatible with Windows, Linux, and macOS; requires Python 3.8 or higher.
• Usability: Simple CLI with one-command execution; help available via --help flag.
• Maintainability: Modular, clean codebase for easy future expansion.
• Security: Only reads .pcap files; no packet modification or network interaction.

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Installation

Option 1: Install from PyPI (Recommended for most users)

Install the latest stable version directly from PyPI:

pip install pcap-analyzer

Option 2: Install from GitLab (For contributors and advanced users)

Clone the repository:

git clone https://gitlab.fdmci.hva.nl/schiffd/pcap-analyzer
cd pcap-analyzer

Install dependencies:

pip install -r requirements.txt

Or with UV:

uv pip install .

Install development dependencies

pip install -r dev-requirements.txt

Or with UV:

uv pip install .[dev]

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Usage

If installed via pip, use the CLI command:

pcap-analyser --file <path/to/file.pcapng> [options]

If running directly from the source (Gitlab):

python -m analyser --file <path/to/file.pcapng> [options]

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Examples

Show the toptalkers (most active IP addresses):

pcap-analyser --file capture.pcapng --toptalkers  # if installed via pip

or

python -m analyser --file capture.pcapng --toptalkers  # if running from source (GitLab)

Show all the used protocols:

python -m analyser --file capture.pcapng --showprotocols  # if installed via pip

or

python -m analyser --file capture.pcapng --showprotocols  # if running from source (GitLab)

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Author

Daniël Schiffers
Amsterdam University of Applied Sciences
📧 [e-mail]