TorBot is an open source intelligence tool developed in python. The main objective of this project is to collect open data from the deep web (aka dark web) and with the help of data mining algorithms, collect as much information as possible and produce an interactive tree graph. The interactive tree graph module will be able to display the relations of the collected intelligence data.

Status/Social links

Features

1. Onion Crawler (.onion).(Completed)
2. Returns Page title and address with a short description of the site.(Partially Completed)
3. Save links to the database.(PR to be reviewed)
4. Get emails from the site.(Completed)
5. Save crawl info to JSON file.(Completed)
6. Crawl custom domains.(Completed)
7. Check if the link is live.(Completed)
8. Built-in Updater.(Completed)
9. TorBot GUI (In progress)
10. Social Media integration.(not Started) ...(will be updated)

Contribute

Contributions to this project are always welcome. To add a new feature fork the dev branch and give a pull request when your new feature is tested and complete. If its a new module, it should be put inside the modules directory. The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. For example, Feature_FasterCrawl_1.0. The contributor name will be updated to the below list. 😀

NOTE: The PR should be made only to dev branch of TorBot.

OS Dependencies

• Tor
• Python ^3.7
• Golang 1.16

Python Dependencies

(see pyproject.toml for more detail)

• beautifulsoup4
• pyinstaller
• PySocks
• termcolor
• requests
• requests_mock
• yattag
• numpy

Golang Dependencies

• https://github.com/KingAkeem/gotor (This service needs to be run in tandem with TorBot)

Basic setup

Before you run the torBot make sure the following things are done properly:

• Run tor service sudo service tor start

• Make sure that your torrc is configured to SOCKS_PORT localhost:9050

• Install Poetry

• Disable Poetry virtualenvs (not required) poetry config settings.virtualenvs.create false

• Install TorBot Python requirements poetry install

On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x install.sh Now you can run ./install.sh to create the torBot binary. Run ./torBot to execute the program.

An alternative way of running torBot is shown below, along with helpful instructions.

python3 torBot.py or use the -h/--help argument

usage: torBot.py [-h] [-v] [--update] [-q] [-u URL] [-s] [-m] [-e EXTENSION]
                 [-i]

optional arguments:
  -h, --help            Show this help message and exit
  -v, --version         Show current version of TorBot.
  --update              Update TorBot to the latest stable version
  -q, --quiet           Prevent header from displaying
  -u URL, --url URL     Specifiy a website link to crawl, currently returns links on that page (if used alone e.g. python3 torBot.py -u https://www.github.com)
  -s, --save            Save results to a file in json format
  -m, --mail            Get e-mail addresses from the crawled sites
  -e EXTENSION, --extension EXTENSION
                        Specifiy additional website extensions to the
                        list(.com or .org etc)
  -i, --info            Info displays basic info of the scanned site (very
                        slow)` 

• NOTE: All flags under -u URL, --url URL must also be passed a -u flag.

Read more about torrc here: Torrc

Using the GUI

Using Docker

• Ensure that you have a tor container running on port 9050.

• Build the image using the following command (in the root directory):

  docker build -f docker/Dockerfile -t dedsecinside/torbot .

• Run the container (make sure to link the tor container as tor):

  docker run --link tor:tor --rm -ti dedsecinside/torbot

TO-DO

• Visualization Module
• Implement BFS Search for webcrawler
• Use Golang service for concurrent webcrawling
• Improve stability (Handle errors gracefully, expand test coverage and etc.)
• Create a user-friendly GUI
• Randomize Tor Connection (Random Header and Identity)
• Keyword/Phrase search
• Social Media Integration
• Increase anonymity
• Increase efficiency

Have ideas?

If you have new ideas which are worth implementing, mention those by starting a new issue with the title [FEATURE_REQUEST]. If the idea is worth implementing, congratz, you are now a contributor.

Cite this paper

@InProceedings{10.1007/978-981-15-0146-3_19,
author="Narayanan, P. S.
and Ani, R.
and King, Akeem T. L.",
editor="Ranganathan, G.
and Chen, Joy
and Rocha, {\'A}lvaro",
title="TorBot: Open Source Intelligence Tool for Dark Web",
booktitle="Inventive Communication and Computational Technologies",
year="2020",
publisher="Springer Singapore",
address="Singapore",
pages="187--195",
abstract="The dark web has turned into a dominant source of illegal activities. With several volunteered networks, it is      becoming more difficult to track down these services. Open source intelligence (OSINT) is a technique used to gather intelligence on targets by harvesting publicly available data. Performing OSINT on the Tor network makes it a challenge for both researchers and developers because of the complexity and anonymity of the network. This paper presents a tool which shows OSINT in the dark web. With the use of this tool, researchers and Law Enforcement Agencies can automate their task of crawling and identifying different services in the Tor network. This tool has several features which can help extract different intelligence.",
isbn="978-981-15-0146-3"
}

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Main page: https://github.com/DedSecInside/TorBot