Problem Statement

In today's cybersecurity landscape, defenders rely heavily on monitoring and detection tools to identify and analyze malicious activities.

However, most existing platforms are designed around commercial objectives such as paid alerts and proprietary threat intelligence feeds, rather than open and community-driven security research.

As a result, valuable honeypot data is often fragmented across different sources such as social media posts, isolated logs, and unstructured reports. This makes it difficult to access, verify, or reuse meaningful attack information.

Security professionals lack a centralized and trusted platform where honeypot data can be collected, structured, and analyzed efficiently.

This limitation reduces the effectiveness of collaborative threat intelligence and slows down the ability to respond to evolving cyber threats.