SeqPot

🧠 Inspiration

In today’s evolving threat landscape, traditional firewalls and detection systems are no longer enough. I was inspired to create SeqPot after reading numerous breach reports where companies were caught off guard by sophisticated attackers. The idea was simple but powerful: what if we could trap the attacker instead of merely defending against them?

🚀 About the Project

SeqPot is a smart, AI-powered honeypot system designed to detect, deceive, and analyze malicious actors in real time. Unlike static honeypots, SeqPot adapts its behavior using machine learning, making it more effective at engaging attackers and gathering critical threat intelligence. It creates a believable attack surface that lures hackers in — and then quietly studies them.

🛠️ How We Built It

The project began with setting up isolated network zones to deploy multiple honeypot environments (SSH, FTP, HTTP, etc.).

An AI layer was trained using datasets of malicious behavior and integrated to analyze patterns and make adaptive decisions.

A central dashboard was built to visualize attacks, extract Indicators of Compromise (IOCs), and export threat data.

The system logs and correlates attacker behavior using behavioral clustering and NLP for command analysis.

💡 What I Learned

Advanced threat detection methods using AI and machine learning

Building secure network isolation and sandbox environments

Real-time logging and analysis of attacker behavior

Handling ethical concerns around simulating vulnerable systems

⚠️ Challenges Faced

Simulating realistic services without compromising actual system security

Filtering false positives from AI models

Ensuring the honeypot remained stealthy and undetectable

Managing large volumes of real-time logs and data

🔧 Built With

Languages: Python, Bash, JavaScript

Frameworks/Tools: TensorFlow, Flask, Docker, ELK Stack (Elasticsearch, Logstash, Kibana)

Platforms: Linux (Ubuntu Server), AWS EC2, GitHub

Databases: MongoDB

Other: Suricata, Wireshark, Scapy, IPtables, Fail2ban

Built With

• bash
• linux
• python