Overview

The rapid evolution of cyber threats and the increasing sophistication of web-based attacks have created a growing demand for advanced cybersecurity solutions capable of monitoring and analyzing malicious activities in real time.

Traditional security systems such as firewalls and intrusion detection systems primarily focus on detecting and blocking attacks after they occur. However, these solutions often provide limited visibility into attacker behavior, exploitation techniques, and malicious payloads used during intrusion attempts.

To address this challenge, honeypot technologies have emerged as an effective defensive approach for attracting attackers and collecting threat intelligence within controlled environments.

This project presents WiseTrap, a modular web-based honeypot framework designed for attack simulation, threat monitoring, and cybersecurity research.

The framework focuses on common web application attack vectors, particularly Information Disclosure and SQL Injection vulnerabilities. It enables the simulation of vulnerable endpoints in order to capture malicious requests, payloads, intrusion attempts, and attacker behavior for analysis and investigation.

WiseTrap provides centralized logging, monitoring dashboards, attack reporting, and structured data collection mechanisms that help improve visibility into real-world attack patterns.

The framework is also designed with scalability and extensibility in mind, allowing future integration of additional vulnerability modules and attack simulation techniques to support evolving cybersecurity research requirements.