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Capture video traffic protected by the Tor network

License: GNU General Public License v2.0

Dockerfile 3.29% Shell 1.39% Makefile 2.73% Python 92.59%
python2 docker tor fingerprinting youtube

tor-browser-crawler-video's Introduction

tor-browser-crawler-video

DISCLAIMER experimental - PLEASE BE CAREFUL. Intended for reasearch purposes.

This is a fork of the tor-browser-crawler. The project has been revised such that instead of capturing webpage loads, this crawler captures video loads.

Usage

This project may be run natively on the host system or in a docker container. If running natively, the required libraries and python 2.7 modules must be installed. Reference the Dockerfile and requirements.txt for the list of requirements. Running through docker is easier and more reproducible. As such, this section will focus on the docker container setup.

Steps

  1. Install Docker
  2. Build the docker container
    • install the make utility if it is not native on your system
    • run make build to compile the docker image
  3. Setup your crawl configuration files
    • replace videos.txt with your list of youtube urls
    • edit Makefile to use the correct network interface
    • if you are crawling long videos, adjust the --timeout value in the Makefile
    • make any desired changes to config.ini
  4. Start the crawl
    • run make run to launch a container
    • the logs and packet captures should appear in the newly created results directory

Notes

  • Library Versions

    • versions of some components are important as different version combinations may be incompatible
    • this project has been frozen to v8.0.2 of the TBB
    • to use the latest TBB version, remove the version number from the dockerfile
    • newer versions of TBB may however require different version of selenium and geckodriver
  • PCAP Size Limit

    • the crawler is configured to capture up to ~120MB per video
    • if this limit is inadequate, adjust MAX_DUMP_SIZE in the common.py source file

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