Which description matches a low-interaction honeypot used to observe attacks against TCP and UDP services, running as a daemon and starting server processes dynamically on requested ports?

Which description matches a low-interaction honeypot used to observe attacks against TCP and UDP services, running as a daemon and starting server processes dynamically on requested ports?

• A. Honeytrap
• B. NAT
• C. Application-Level Proxy
• D. Low-Interaction Honeypots

Answer: (D)

Low-interaction honeypots are lightweight decoys that let researchers observe automated attacks against common TCP and UDP services with minimal risk. They run in the background as daemons and monitor a range of ports. When a probe or connection comes in on a port, they can spawn a small, on-demand server process to imitate a service. This on-demand, port-by-port behavior provides enough interaction to capture attacker techniques, fingerprints, and payloads without offering real, fully functional services. The approach is safe and scalable, making it ideal for gathering data on how attackers probe and exploit services. This fits the description of observing attacks against TCP/UDP services with dynamic, on-request server instances. NAT, application-level proxies, or more interactive honeytrap setups don’t match this minimal, on-demand decoy behavior.

Low-interaction honeypots are lightweight decoys that let researchers observe automated attacks against common TCP and UDP services with minimal risk. They run in the background as daemons and monitor a range of ports. When a probe or connection comes in on a port, they can spawn a small, on-demand server process to imitate a service. This on-demand, port-by-port behavior provides enough interaction to capture attacker techniques, fingerprints, and payloads without offering real, fully functional services. The approach is safe and scalable, making it ideal for gathering data on how attackers probe and exploit services. This fits the description of observing attacks against TCP/UDP services with dynamic, on-request server instances. NAT, application-level proxies, or more interactive honeytrap setups don’t match this minimal, on-demand decoy behavior.