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HoneyPy is a free honeypots & deception tool. HoneySMB 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 threat intelligence pipelines on a tight budget should run HoneyPy; its plugin architecture lets you customize deception across SSH, HTTP, and custom services without licensing friction. The 472 GitHub stars and active maintenance signal reliable community support for a free tool that actually gets deployed, not abandoned after week one. Skip it if you need managed threat hunting or high-interaction simulation of Windows environments; HoneyPy excels at catching reconnaissance and low-sophistication attacks on Linux-based infrastructure, not mimicking complex enterprise systems.
Small IT teams defending Windows environments with limited budget will get the most from HoneySMB; it's genuinely free and catches SMB reconnaissance and lateral movement that endpoint tools often miss because they're not looking at protocol-level deception. The GitHub presence suggests active development, and SMB-layer detection fills a specific gap in NIST Detect that most commercial honeypots ignore. Skip this if you need managed response or cross-protocol coverage; HoneySMB is a detection instrument, not a full deception platform, and assumes you have the engineering bandwidth to deploy and tune it yourself.
A low to medium interaction honeypot with a variety of plugins for cybersecurity monitoring.
A high-interaction honeypot solution for detecting and analyzing SMB-based attacks
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Common questions about comparing HoneyPy vs HoneySMB for your honeypots & deception needs.
HoneyPy: A low to medium interaction honeypot with a variety of plugins for cybersecurity monitoring..
HoneySMB: A high-interaction honeypot solution for detecting and analyzing SMB-based attacks..
Both serve the Honeypots & Deception market but differ in approach, feature depth, and target audience.
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