Cyber Threat Intelligence Platform
Advanced honeypot system for monitoring and analyzing malicious web traffic patterns.
The Challenge
Understanding malicious web traffic patterns is crucial for cybersecurity, but identifying threats in legitimate traffic is difficult. Existing security systems have limitations in detecting emerging web attacks.
Key Constraints
- Gathered real-world data on how proxies are exploited for attacks
- Provided insights for improving network defense strategies
- Demonstrated low-cost cloud-based honeypots for security research
Our Solution
I deployed a virtual HTTP open proxy honeypot on AWS EC2 using Squid Proxy to attract and study malicious traffic. The system logged all activities, allowing deep analysis of attacker behaviors, geolocation of threats, and identification of emerging attack patterns.
Innovative Approaches
- AWS EC2
- Squid Proxy
- Python
- Bash
Technologies Used
AWS EC2
Squid Proxy
Python
Bash
ELK Stack
GeoIP
Key Results
Performance Metrics
Project Impact
Gathered real-world data on how proxies are exploited for attacks
Provided insights for improving network defense strategies
Demonstrated low-cost cloud-based honeypots for security research