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.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.
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.
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.
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.
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.
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.
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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