In0ri : Defacement Detection With Deep Learning

In0ri is a defacement detection system utilizing a image-classification convolutional neural network.

Introduction

When monitoring a website, In0ri will periodically take a screenshot of the website then put it through a preprocessor that will resize the image down to 250x250px and numericalize the image before passing it onto the classifier. The core of the classifier is a convolutional neural network that is trained to detect the defacement of a website. If the monitored website is indeed, defaced, In0ri will send out warnings via email to the user.

Requirement

  • Python3 (version >=3.6)
  • Docker
  • Docker-compose

Installation

Cloning the repository

git clone https://github.com/J4FSec/In0ri.git
cd In0ri

Configuring email credentials to send notifications and agent keys from

Edit the file FlaskApp/sendEmail.py

EMAIL_ADDRESS = “foo@gmail.com”
EMAIL_PASSWORD = “$uper$ecurePa$$word”

Configure Telegram notification

Edit the file chatbot.py

CHAT_ID= ‘foo’ # Channel ID to send notifications to
TOKEN = ‘bar’ # Bot token retrieved from @BotFather

Starting In0ri

docker-compose up -d

Usage

There’s two ways to deploy and using In0ri:

  • Running off crontab by periodically visiting the url.
  • Internal agent running off the web server

First Method: URL Check

Visit the WebUI on https://<serverIP>:8080/ and click on “Register” then fill in the form and submit it.

Second Method: Internal Agent

Visit the WebUI on https://<serverIP>:8080/ and click on “Register” then fill in the form and submit it.

Click on “Create Agent” then fill in the form and check your email for the Agent’s key.

On the web server that you wants to be monitored by In0ri, download the Agent folder from Github repository

Installing the required packages for the internal Agent

python3 -m pip install watchdog
python3 -m pip install requests

Edit the file config.json in the same folder as agent

nano config.json

key is sent to your email after registering the Agent on the WebUI rootPath is the root directory of the web application that you want to be monitored exludePath are the subfolders that you wants excluded from the scans apiServer is the URL to the API server of In0ri serverIP is the IP of the API server of In0ri.

{
“id”:”01″,
“key”:”123123123″,
“rootPath”:”/var/www/html”,
“excludePath”:””,
“apiServer”:”http://:8088/checkdeface”
}

And run the Agent:

python3 agent.py

R K

Recent Posts

WID_LoadLibrary : The Intricacies Of DLL Management In Windows

WID_LoadLibrary is a custom implementation inspired by the Windows API function LoadLibrary, which is used…

14 hours ago

Locksmith : A Tool For Securing Active Directory Certificate Services

Locksmith is a specialized tool designed to identify and remediate vulnerabilities in Active Directory Certificate…

14 hours ago

Uscrapper Vanta : A Cutting-Edge OSINT Tool For Advanced Data Extraction

Uscrapper Vanta is a powerful open-source intelligence (OSINT) tool designed to revolutionize web scraping and…

14 hours ago

Pake : Transforming Webpages Into Desktop Applications

Pake is an innovative tool designed to convert any webpage into a desktop application with…

19 hours ago

Bevy : Exploring The Frontier Of Game Development With Rust

Bevy is an open-source, data-driven game engine built in Rust, designed to simplify game development…

19 hours ago

AppFlowy Cloud : Enhancing Collaboration With Secure Cloud Infrastructure

AppFlowy Cloud is a robust component of the AppFlowy ecosystem, designed to provide secure user…

2 days ago