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gohoney is a free honeypots & deception tool. Manuka by Andew Michael Smith is a free honeypots & deception tool. Compare features, ratings, integrations, and community reviews side by side to find the best honeypots & deception fit for your security stack.
Based on our analysis of available product data, here is our conclusion:
Security teams building SSH threat intelligence on a shoestring budget should deploy gohoney to establish a low-friction honeypot that captures attacker command patterns and reconnaissance behavior. At 13 GitHub stars with no licensing burden, it's genuinely free to run and maintain across multiple network segments, giving you directional data on what attackers actually attempt once they gain shell access. Skip this if you need centralized management, alerting, or integration with your SIEM; gohoney is a standalone collection tool that demands manual log review.
Security teams building internal honeypot infrastructure on limited budgets will appreciate Manuka by Andew Michael Smith for how quickly it spins up dionaea and kippo instances without wrestling Docker configuration. The script approach cuts setup time from hours to minutes, which matters when you're running honeypots as a learning tool or low-cost early warning system. Skip this if you need managed honeypot infrastructure, commercial-grade alert tuning, or support beyond what the 26-star GitHub community provides; Manuka assumes you're comfortable maintaining your own Docker environment and interpreting raw honeypot data.
SSH Honeypot written in Go that records commands and IP addresses of attempted logins.
A script for setting up a dionaea and kippo honeypot using Docker images.
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Common questions about comparing gohoney vs Manuka by Andew Michael Smith for your honeypots & deception needs.
gohoney: SSH Honeypot written in Go that records commands and IP addresses of attempted logins..
Manuka by Andew Michael Smith: A script for setting up a dionaea and kippo honeypot using Docker images..
Both serve the Honeypots & Deception market but differ in approach, feature depth, and target audience.
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