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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 complete observability stack for monitoring honeynet activity in virtual cluster (vCluster) using Fluentd, OpenSearch, and custom multi-vector attacker image.
CowrieMLProje, Cowrie honeypot tarafından toplanan siber saldırı loglarının makine öğrenmesi teknikleri kullanılarak analiz edilmesini ve anomali tespitinin otomatikleştirilmesini amaçlayan kapsamlı bir projedir.
🛡️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 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.
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.