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Build a Cyber Threat Intelligence Platform

Develop a system that collects, processes, and visualizes cybersecurity threat data — empowering organizations with real-time insights to identify and mitigate attacks proactively.

Why Build a Threat Intelligence Platform?

In today’s evolving threat landscape, organizations need timely insights into attack vectors, IP threats, malware strains, and vulnerabilities. A Cyber Threat Intelligence (CTI) platform helps security teams aggregate and analyze data from various feeds, turning raw information into actionable insights for prevention and response.

Core Features of the Platform

This system ingests data from open threat feeds, logs, and external APIs to track Indicators of Compromise (IOCs) like IPs, domains, hashes, and URLs. It then classifies, scores, and visualizes threats, giving security analysts a unified dashboard to detect and act against cyber risks.

Key Features to Implement

Threat Feed Aggregation

Collect IOCs from multiple public sources (e.g., AlienVault OTX, AbuseIPDB, VirusTotal) and internal logs.

IOC Scoring & Categorization

Classify IPs, domains, hashes based on threat severity and type (malware, phishing, botnet, etc.).

Real-Time Dashboard

Display active threats, attack trends, and location-based activity via maps and charts.

Alerting & Export Features

Send alerts for new high-severity threats and export reports in PDF/CSV formats for analysis.

How the Platform Works

The CTI platform periodically fetches data from threat intelligence feeds and security logs. It cleans and normalizes the data, extracts key IOCs, and applies classification logic to assign severity scores. The system visualizes threats in a dashboard and notifies admins on critical alerts.

  • Connect to external threat feeds and APIs.
  • Parse and normalize incoming data (IPs, hashes, URLs, malware names).
  • Match IOCs against known blacklists and score severity using rules or ML models.
  • Display data on a dashboard with filtering by country, type, and severity.
  • Trigger alerts for new critical threats and allow export of summaries.
Recommended Tech Stack

Backend

Python (Flask or FastAPI) or Node.js for data processing, feed ingestion, and API integration.

Frontend

React.js or Vue.js for the real-time dashboard and threat visualizations.

Data & Storage

MongoDB or PostgreSQL to store IOC records and logs; Redis for real-time caching.

Visualization & Alerts

Chart.js, D3.js, or Kibana for graphs; SMTP/Slack API for alerting mechanisms.

Step-by-Step Build Plan

1. Integrate Threat Feeds

Set up periodic data pulls from APIs like AlienVault OTX, AbuseIPDB, and VirusTotal.

2. Parse and Normalize Data

Convert raw feed data into structured format with fields like source IP, type, timestamp.

3. Implement Scoring Logic

Assign severity levels to IOCs based on rules, blacklists, or reputation scores.

4. Build Dashboard UI

Display threats, trends, and filters in a clean frontend with real-time refresh.

5. Add Alerting and Export Tools

Enable email/Slack alerts and export options for forensic reports and analysis.

Helpful Resources for Development

Stay Ahead of Emerging Cyber Threats

Build a smart cyber threat intelligence system that empowers security teams with live attack insights and a proactive defense strategy.

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