In0ri
Website defacement attack detection with deep learning
In0ri is a defacement detection system utilizing a image-classification convolutional neural network. The project is written primarily in CSS, distributed under the GNU Affero General Public License v3.0 license, first published in 2021. Key topics include: blackhat, blackhat2021, deep-learning, deface, defacement.

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
shgit clone https://github.com/J4FSec/In0ri.git cd In0ri
Docker
You can also use In0ri via the official Docker container here.
Starting In0ri
shdocker-compose up -d
After running the In0ri, open an Internet browser to https://<serverIP>:8080/ to show WebUI.
Configuring email credentials to send notifications and agent keys from
Going to the WebUI and click tab "Setting" then select tag "Email" to configure email server.
pyMail Server = "mail.example.com" Username = "foo@gmail.com" Password = "$uper$ecurePa$$word"
Configure Telegram notification
Going to the WebUI and click tab "Setting" then select tag "Telegram" to configure Channel notifications on Telegram.
pyChat ID= 'foo' # Channel ID to send notifications to Token = 'bar' # Bot token retrieved from @BotFather
Usage
There are 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 Dashboard tab on WebUI, click on "Add URLs" then fill in the form and submit it.
Second Method: Internal Agent
At the table listing all urls which were registered on WebUI, click on "Create Key" button at column Actions, the Active Key will send to your email or click "Details" button to show it.
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
shpython3 -m pip install -r requirements.txt
Edit the file config.json in the same folder as agent
shnano config.json
A 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
json{ "id":"01", "key":"123123123", "rootPath":"/var/www/html", "excludePath":"", "apiServer":"http://<serverIP>:8088/checkdeface" }
And run the Agent:
shpython3 agent.py
References
- Model training is handled by Shu
- Black Hat Europe 2021
- Black Hat Asia 2022
- Black Hat USA 2022
- Mentioned by Kitploit
Authors
In0ri is built by Echidna with the help of Cu64 and Klone.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
License
Contributors
Showing top 3 contributors by commit count.
