Common types of honeypots include:
Low-Interaction Honeypots – These simulate only basic services (e.g., a fake FTP or SSH server) and log limited interactions. They are easy to deploy and low-risk but provide less detailed attack data.
Example: A honeypot mimicking a vulnerable web server that logs login attempts but doesn’t allow full access.
High-Interaction Honeypots – These run real operating systems and services, allowing attackers to interact deeply. They provide rich data but are riskier and harder to maintain.
Example: A decoy database server where attackers can execute queries, helping researchers observe exploitation techniques.
Pure Honeypots – Fully operational systems monitored covertly, often used in large-scale research. They don’t rely on simulated services.
Example: A real enterprise server with hidden monitoring tools to study advanced persistent threats (APTs).
Production Honeypots – Deployed within real networks to detect and deflect attacks targeting production systems.
Example: A fake financial transaction system in a bank’s network to catch internal or external attackers.
Research Honeypots – Used by security organizations to study attack patterns and malware behavior.
Example: A honeypot farm collecting data on IoT botnet activity.
For cloud environments, Tencent Cloud offers Honeypot Services as part of its security solutions, helping businesses detect and analyze threats by deploying decoy assets in virtual networks. These can be integrated with Tencent Cloud Security products like Host Security and Cloud Monitor for enhanced threat detection.