⚠️ Disclaimer:
This repository contains a project description only.
The actual code is confidential and proprietary.
Contact for demo access or enterprise threat intelligence consulting.
The AI Threat Intel Aggregator is an automated threat intelligence platform that collects, classifies, and analyzes cyber threat data from a wide variety of sources including OSINT platforms, threat feeds, paste sites, and dark web forums.
It applies machine learning models to prioritize threats, extract IOCs, and categorize malware families.
This project enables SOC teams and security analysts to automate intel gathering and convert noise into actionable insights.
- 🌐 Multi-source Data Collection: OSINT APIs, RSS feeds, pastebins, forums, and code repositories.
- 🧠 Machine Learning Classifiers: Classify indicators and prioritize critical threats.
- 🕵️ Dark Web Monitoring: Track mentions of sensitive data and attack tools.
⚠️ IOC Extraction: Parse URLs, IPs, file hashes, and malware names from raw data.- 📈 Dashboard Integration: Optionally integrate with SIEM and dashboards (Kibana, Splunk).
| Scenario | Description |
|---|---|
| SOC Threat Hunting | Gather real-time threat intelligence for hunting operations. |
| Enterprise Threat Management | Automate intel collection for enterprise environments. |
| Malware Campaign Tracking | Monitor attack campaigns targeting industries/sectors. |
| Dark Web Surveillance | Detect leaks and threat actor activities. |
- Python 3.x
- Scikit-learn / TensorFlow (ML classifiers)
- BeautifulSoup / Playwright (web scraping)
- Threat Intelligence APIs (AlienVault OTX, VirusTotal, etc.)
- MongoDB / Elasticsearch
The aggregator’s scraping mechanisms, ML models, and dark web monitoring tools could be misused for unauthorized surveillance.
Access is restricted to qualified security teams.
Need enterprise threat intelligence solutions?
→ Contact Muhammad Usama for advanced TI consulting.