OEM Vulnerability Monitoring and Alert System

Project Overview

This project is designed to monitor OEM (Original Equipment Manufacturer) websites for real-time vulnerability information and send targeted alerts to predefined email addresses. The primary goal is to track critical and high-severity vulnerabilities in IT and OT equipment for organizations in critical sectors.

---

Key Features

1. Dynamic Web Scraping:

   • Once a link is supplied, the system dynamically loads, parses, and extracts pages using OpenAI for content analysis.

2. Targeted Alerts:

   • Sends email notifications for vulnerabilities related to the user's specified areas of interest.

3. User Management:

   • Users can select specific areas of interest to receive customized alerts.

4. Vulnerability Classification:

   • Filters vulnerabilities based on severity levels (critical, high).

5. Email Integration:

   • Sends detailed email alerts to users with links to the vulnerability information.

6. Frontend Dashboard:

   • React-based frontend where users can provide links for scraping.
   • Displays a searchable and sortable table of vulnerability data stored in the database.

---

Tech Stack

• Backend: Python, Flask
• Frontend: React
• Database: SQLite
• Web Scraping: BeautifulSoup, Playwright, OpenAI
• Email Integration: SMTP library
• Scheduler: APScheduler

---

Usage

1. User Registration:

   • Add users through the admin interface or an API endpoint.
   • Define areas of interest for each user to customize alerts.

2. Dynamic Monitoring and Scraping:

   • Supply links via the frontend dashboard to dynamically load and parse pages, extracting relevant vulnerability information using OpenAI.

3. Vulnerability Table:

   • View vulnerabilities in a sortable and searchable table on the frontend dashboard.

4. Alert System:

   • Sends email alerts with detailed information about vulnerabilities relevant to the user's areas of interest.