Kali Linux

ReconPal : Leveraging NLP For Infosec

Recon is one of the most important phases that seem easy but takes a lot of effort and skill to do right. One needs to know about the right tools, correct queries/syntax, run those queries, correlate the information, and sanitize the output. All of this might be easy for a seasoned infosec/recon professional to do, but for rest, it is still near to magic. How cool it will be to ask a simple question like “Find me an open Memcached server in Singapore with UDP support?” or “How many IP cameras in Singapore are using default credentials?” in a chat and get the answer?

The integration of GPT-3, deep learning-based language models to produce human-like text, with well-known recon tools like Shodan, is the foundation of ReconPal. ReconPal also supports using voice commands to execute popular exploits and perform reconnaissance.

Built With

OpenAI GPT-3
Shodan API
Speech-to-Text
Telegram Bot
Docker Containers
Python 3

Getting Started

To get ReconPal up and running, follow these simple steps.

Prerequisites

Telegram Bot Token Use BotFather and create a new telegram bot. Refer to the documentation at https://core.telegram.org/bots
Shodan API:
Create a shodan Account and create a new API Key from https://account.shodan.io/
Google Speech-to-Text API:
Enable Speech-to-Text in GCP and get the credentials. Refer to these steps from the documentation https://cloud.google.com/speech-to-text/docs/before-you-begin
OpenAI API Key:
Create a free openAI account to try out the API. https://beta.openai.com/account/api-keys
Docker

sudo apt-get updates
sudo apt-get install docker.io
sudo curl -L “https://github.com/docker/compose/releases/download/1.26.0/docker-compose-$(uname -s)-$(uname -m)” -o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose