skills/mukul975/anthropic-cybersecurity-skills/implementing-network-deception-with-honeypots

implementing-network-deception-with-honeypots

SKILL.md

Implementing Network Deception with Honeypots

When to Use

  • When deploying deception technology to detect lateral movement
  • To create early warning indicators for network intrusion
  • During security architecture design to add detection depth
  • When monitoring for unauthorized internal scanning or credential theft
  • To gather threat intelligence on attacker techniques and tools

Prerequisites

  • Linux server or VM for honeypot deployment (Ubuntu 22.04+ recommended)
  • Python 3.8+ with pip for OpenCanary installation
  • Docker for T-Pot or containerized deployment
  • Network segment with appropriate VLAN configuration
  • SIEM integration for alert forwarding (syslog, webhook, or file-based)
  • Firewall rules allowing inbound connections to honeypot services

Workflow

  1. Plan Deployment: Select honeypot types and network placement strategy.
  2. Install Honeypot: Deploy OpenCanary, Cowrie, or T-Pot on dedicated host.
  3. Configure Services: Enable emulated services (SSH, HTTP, SMB, FTP, RDP).
  4. Set Up Alerting: Configure log forwarding to SIEM and alert channels.
  5. Deploy Canary Tokens: Place credential files, shares, and DNS entries.
  6. Monitor Interactions: Analyze honeypot logs for attacker activity.
  7. Tune and Maintain: Update configurations based on detection results.

Key Concepts

Concept Description
OpenCanary Lightweight Python honeypot with modular service emulation
Cowrie Medium-interaction SSH/Telnet honeypot capturing commands
T-Pot Multi-honeypot platform with ELK stack visualization
Canary Token Tripwire credential or file that alerts when accessed
Low-Interaction Emulates services at protocol level without full OS
High-Interaction Full OS honeypot capturing complete attacker sessions

Tools & Systems

Tool Purpose
OpenCanary Modular honeypot daemon with service emulation
Cowrie SSH/Telnet honeypot with session recording
T-Pot All-in-one multi-honeypot platform
Dionaea Malware-capturing honeypot for exploit detection
Splunk/Elastic SIEM for honeypot alert aggregation

Output Format

Alert: HONEYPOT-[SERVICE]-[DATE]-[SEQ]
Honeypot: [Hostname/IP]
Service: [SSH/HTTP/SMB/FTP/RDP]
Source IP: [Attacker IP]
Interaction: [Login attempt/Port scan/File access]
Credentials Used: [Username:Password if applicable]
Commands Executed: [For SSH honeypots]
Risk Level: [Critical/High/Medium/Low]
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