Skip to main content

PlotCap - a simple network visualization tool

Project description

PlotCap - a simple network visualization tool.

Sample

Introduction

PlotCap is a simple command line tool written in Python and based on PyVis, that parses network capture files (produced by tools such as tcpdump or Wireshark) to render a graph of the network topology in a web page.

PlotCap was designed for red team engagements, with the aim of quickly mapping out relationships between devices (“nodes”) in a network. Target groups are: network administrators, penetration testers and curious people.

Visualization can be performed at layer 2 (MAC addresses) and layer 3 (IP addresses). Layer 2 is the default. The tool attempts to resolve MAC addresses unless directed otherwise.

Usage

plotcap  -f capture.cap

This is equivalent to:

plotcap  -f capture.cap --layer2

or:

plotcap  -f capture.cap --layer2 --resolve-oui

Do not resolve MAC addresses:

plotcap  -f capture.cap --layer2 --no-resolve-oui

Show IP addresses:

plotcap  -f capture.cap --layer3

API

A convenience API is available if you just want to parse the .pcap file and reuse the results, but don’t want a graphical representation.

from plotcap.api import parse_file

pcap_file = "/tmp/test.pcap"
conversations = parse_file(pcap_file=pcap_file, layer=2)
for conversation, packet_count in conversations.items():
   print(f"src: {conversation.src} - dst: {conversation.dst} - packets: {packet_count}")

Limitations

  • Although this is a command line tool, it requires a graphical environment and a web browser to render network maps. On headless systems we suggest using Xvfb to set up virtual sessions.

  • PlotCap was tested on Linux only

  • MAC addresses may not always be resolved to manufacturer names, especially if address randomization comes into play

  • See the TODO file for more missing features

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

plotcap-0.5.0.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

plotcap-0.5.0-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file plotcap-0.5.0.tar.gz.

File metadata

  • Download URL: plotcap-0.5.0.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for plotcap-0.5.0.tar.gz
Algorithm Hash digest
SHA256 887d2390c31744e2a00cc238c1b5ff27fbfb28146dd725969b72e4bb18cde913
MD5 9934dc149b8e31578ff1e046c0d9590c
BLAKE2b-256 50f6e5c9abd70e9e69eb9e4f1a303b8eac0d27e0163f978fa6b4572b31cf40da

See more details on using hashes here.

File details

Details for the file plotcap-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: plotcap-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for plotcap-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cb9d0778667c5cae4654c9d661dc9cbfdf00843915d635f74f49fe87fa5026f1
MD5 326072e52d2b394b2494c27d0ecfeff6
BLAKE2b-256 548f79409c248164562b1db3b3170eb7271771c9feae5cab84468e9b0b49ea0a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page