Web Application Security

ReconNote – Web Application Security Automation Framework

ReconNote - Web Application Security Automation Framework Which Recons The Target For Various Assets To Maximize The Attack Surface For Security Professionals & Bug-Hunters

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Web Application Security Recon Automation Framework

It takes user input as a domain name and maximize the attack surface area by listing the assets of the domain like –

  • Subdomains from – Amass ,findomain, subfinder & resolvable subdomains using shuffledns
  • Screenshots
  • Port Scan
  • JS files
  • Httpx Status codes of subdomains
  • Dirsearch file/dir paths by fuzzing

Installation

1 – Install Docker & docker-compose according to you OS from here – https://docs.docker.com/get-docker/
2 – git clone https://github.com/0xdekster/ReconNote.git
3 – Open docker-compose.yml & change the volumes directory path to the output folder

example –

volumes: – /root/reconnote/output/:/var/www/html

4 – Change the API_HOST parameter value to your server/host ip or domain name.
5 – Run docker-compose build OR docker-compose build –no-cache
6 – Run docker-compose up -d
7 – Reconnote framework will be up at – {your-server}:3000

Set Amass Config File to set API Keys

1- cd /ReconNote
2- docker exec -it reconnote_dekster_1 bash
3- cd /deksterrecon
4- nano amass-config.ini
5- Set your API keys and save, exit.

Usage

1 – Just enter domain/target name in Add Target & choose scan type
2 – Everything will be done by Reconnote and in few minutes you will get the Scan Results

 

 

Scan Result

 

 

Demo Video

 

[youtube https://www.youtube.com/watch?v=jGpgreUY4H8&w=560&h=315]

 Contributions

This is an open source project so contributins are welcome. You can request a PR for any changes that can enhance the ReconNote framework be it UI enhancement , tools adjustment ,features , etc..

Acknowledgements

ReconNote Security framework have been created by using the open source security tools made by amazing security community –

1- Eduard Tolosa
2- Tomnomnom
3- Michen riksen
4- Project Discovery
5- Corben Leo


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