A Cowrie SSH Honeypot Monitor and Logger

An automated honeypot farm using cowrie to capture real world ssh and Telnet attacks

Integration of the popular Cowrie honeypot with Elastic Stack

CowrieMLProje, Cowrie honeypot tarafından toplanan siber saldırı loglarının makine öğrenmesi teknikleri kullanılarak analiz edilmesini ve anomali tespitinin otomatikleştirilmesini amaçlayan kapsamlı bir projedir.

Log Analysis of Telnet session hijacking via MAC address spoofing using cowrie Honeypots

Honeypot configuration files, event parsers, and Azure Sentinel workbook templates.

Infrastructure Homelab sécurisée et monitorée sur Docker

Argos is a honeypot system that will setup cowrie on a system.

Honeypot Inteligente com Cowrie (CLI)

A hands-on homelab project documenting the setup of a Cowrie SSH honeypot on Ubuntu Server, integrated with Wazuh SIEM for real-time log forwarding and attack analysis. Includes network configuration, Wazuh agent enrollment, and a simulated attack flow from Kali Linux.

🛡️A machine learning-based Intrusion Detection System that uses the Cowrie honeypot to collect attack data in a Debian VMware setup. Data is stored in MongoDB and analyzed using the AdaBoost algorithm ⚙️ to detect threats. This project shows how honeypots and ML can enhance cybersecurity.

A complete observability stack for monitoring honeynet activity in virtual cluster (vCluster) using Fluentd, OpenSearch, and custom multi-vector attacker image.

A cloud-native honeypot system built using Cowrie on Amazon EC2, designed to attract, log, and analyze malicious behavior. Leveraging AWS services including S3, CloudWatch, Lambda, and DynamoDB.

Cowrie honeypot on AWS, Azure or DigitalOcean using Terraform, Ansible and Docker

Parse cowrie honeypot logs into a neo4j database

Malware written in bash to serve as an initial dropper script that will provide a strong foothold on the target device via reverse shells and persistence techniques, can be set to run via user interaction or coupled with a bot.