Honeypot Deployment

Definition

A honeypot is a deliberately vulnerable system or service deployed to attract, detect, and analyze malicious activity. Honeypot deployment involves positioning decoy systems within the network that mimic production assets, monitoring all interactions with these decoys, and using the intelligence gathered to improve detection capabilities and understand attacker tactics, techniques, and procedures.

How It Works

Honeypots are classified by their interaction level. Low-interaction honeypots emulate services and protocols to capture basic attack data like scanning patterns, credential attempts, and exploit payloads. High-interaction honeypots run full operating systems and applications, allowing attackers to fully compromise the system while every action is monitored and recorded. Research honeypots gather intelligence about emerging threats and attacker behavior. Production honeypots are deployed within corporate networks to detect internal threats and lateral movement. Deployment locations include the DMZ for external threat intelligence, internal network segments for lateral movement detection, and alongside critical assets as decoys. Honeypots must be convincing enough to attract attacker attention, which means populating them with realistic data, services, and network characteristics. All traffic to honeypots is suspicious by definition since no legitimate user should interact with them, making alerting straightforward.

Why It Matters

Honeypots provide high-fidelity alerts with very low false positive rates. Since no legitimate traffic should reach a honeypot, any interaction represents unauthorized activity worth investigating. They detect threats that evade signature-based tools by catching novel attacks, insider threats, and advanced persistent threats during reconnaissance and lateral movement phases. The intelligence gathered reveals attacker objectives, methods, and tools, enabling defenders to strengthen production defenses proactively.