/SprayingToolkit

Scripts to make password spraying attacks against Lync/S4B & OWA a lot quicker, less painful and more efficient

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

SprayingToolkit

SprayingToolkit

Description

A set of Python scripts/utilities that tries to make password spraying attacks against Lync/S4B & OWA a lot quicker, less painful and more efficient.

Brought To You By

blackhillsinfosec

Tool Overview

Atomizer

A blazing fast password sprayer for Lync/Skype For Business and OWA, built on Asyncio and Python 3.7

Usage

Usage:
    atomizer (lync|owa) <domain> <password> --userfile USERFILE [--threads THREADS] [--debug]
    atomizer (lync|owa) <domain> --recon [--debug]
    atomizer -h | --help
    atomizer -v | --version

Arguments:
    domain     target domain
    password   password to spray

Options:
    -h, --help               show this screen
    -v, --version            show version
    -u, --userfile USERFILE  file containing usernames (one per line)
    -t, --threads THREADS    number of concurrent threads to use [default: 3]
    -d, --debug              enable debug output
    --recon                  only collect info, don't password spray

Vaporizer

A port of @OrOneEqualsOne's GatherContacts Burp extension to mitmproxy with some improvements.

Scrapes Google and Bing for LinkedIn profiles, automatically generates emails from the profile names using the specified pattern and performes password sprays in real-time.

(Built on top of Atomizer)

Usage

mitmdump -s vaporizer.py --set sprayer=(lync|owa) --set domain=domain.com --set password=password --set email_format='{f}.{last}'

By default email_format is set to {first}.{last} pattern and is not a required argument.

Install the mitmproxy cert, set the proxy in your browser, go to google and/or bing and search (make sure to include the /in):

site:linkedin.com/in "Target Company Name"

Emails will be dumped to emails.txt in the specified format, and passed to Atomizer for spraying.

Aerosol

Scrapes all text from the target website and sends it to AWS Comprehend for analysis to generate custom wordlists for password spraying.

Still a work in progress

Usage

mitmdump -s aerosol.py --set domain=domain.com