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Visualize Network Traffic with PcapXray: A Forensics Tool

PcapXray is a powerful network forensics tool that visualizes packet captures as network diagrams, aiding investigators in traffic analysis.

pcapxray network-forensics cybersecurity packet-capture forensic-analysis network-diagram python
Visualize Network Traffic with PcapXray: A Forensics Tool

📦 Get Visualize Network Traffic with PcapXray: A Forensics Tool

vmaster· GNU General Public License v2.0· ⭐ 1.9K stars · Updated May 1, 2026

Analyzing network traffic and investigating incidents can be a daunting task, especially when dealing with complex PCAP files. For forensic investigators and network analysts, the ability to quickly visualize communication patterns and identify potential threats is crucial. PcapXray simplifies this process by transforming raw packet captures into detailed network diagrams, enabling users to pinpoint devices, track traffic flows, and discover malicious activity in a user-friendly interface.

What Is PcapXray?

PcapXray is an open-source network forensics tool designed to visualize packet captures (PCAP files) and live network traffic. It produces annotated network diagrams, offering insights into device identification, traffic types, and potential security threats. With PcapXray, analysts can streamline their investigations, making it easier to extract key information from network traffic.

Key Features

  • Network Diagram: Generates visual representations of the network layout, showcasing hosts and their communication paths.
  • Device Identification: Automatically identifies devices using OUI vendor lookups and hostname resolutions.
  • Malicious Traffic Flagging: Highlights potentially harmful traffic based on heuristic analysis.
  • Tor Traffic Detection: Detects and flags traffic related to Tor, aiding in identifying anonymized communications.
  • Real-time Traffic Capture: Allows live network monitoring and updates the diagram in real-time.
  • Session Persistence: Employs SQLite to cache sessions for quicker reloads without re-analysis.
  • Interactive Graphs: Utilizes pyvis for in-browser exploration of network diagrams.
  • Detailed Reporting: Outputs detailed reports on device communications, payloads, and more.

Installation & Setup

To set up PcapXray, you will need Python 3.7 or higher and the necessary dependencies. Follow these steps to install:

CODE
git clone https://github.com/srixivas/PcapXray.git
cd PcapXray
pip install -r requirements.txt

Once installed, you can run the application using:

CODE
python user_interface.py

How to Use It

Using PcapXray is straightforward. Here’s a practical example of how to visualize a PCAP file:

  1. Open PcapXray by running python user_interface.py.
  2. Select the option to load a PCAP file from the GUI.
  3. Once loaded, the tool will process the file and generate a network diagram.
  4. Interact with the diagram to explore individual device communications and see detailed reports on traffic.

This intuitive workflow can significantly reduce the time required for network analysis and enhance your ability to identify threats or anomalies.

Who Should Use PcapXray?

PcapXray is ideal for cybersecurity professionals, network analysts, and forensic investigators who need to analyze network traffic efficiently. Whether you’re conducting a security assessment, investigating a data breach, or simply exploring network activity, PcapXray provides the tools necessary to visualize and understand complex communications.

Final Thoughts

PcapXray is a valuable addition to the toolkit of anyone involved in network forensics or cybersecurity. Its ability to transform complex packet data into an easily digestible format enhances the investigative process, allowing users to focus on analysis rather than sifting through raw data. The continuous updates from the community and its robust feature set make it a reliable choice for both beginners and seasoned professionals alike.

ScriptForge Admin

Senior developer and curator of the ScriptForge platform. Specializing in PHP, Laravel, and full-stack JavaScript development.

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