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ssh-honeypotd is a free honeypots & deception tool. gohoney 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 running Linux perimeter infrastructure who need low-friction SSH deception will find ssh-honeypotd useful for capturing attack patterns without resource overhead. Written in C with minimal dependencies, it deploys faster and consumes less CPU than higher-interaction honeypots, making it practical for sustained operation on bandwidth-constrained networks. Skip this if you need alert correlation, threat intelligence feeds, or forensic analysis built in; ssh-honeypotd logs attempts but stops there, leaving investigation and response to your existing SIEM.
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.
A low-interaction SSH honeypot written in C that simulates SSH services to capture and log unauthorized access attempts.
SSH Honeypot written in Go that records commands and IP addresses of attempted logins.
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Common questions about comparing ssh-honeypotd vs gohoney for your honeypots & deception needs.
ssh-honeypotd: A low-interaction SSH honeypot written in C that simulates SSH services to capture and log unauthorized access attempts..
gohoney: SSH Honeypot written in Go that records commands and IP addresses of attempted logins..
Both serve the Honeypots & Deception market but differ in approach, feature depth, and target audience.
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