Agent-Skills.md

Agent Skills: Implementing Network Deception with Honeypots

Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect unauthorized access, lateral movement, and attacker reconnaissance.

UncategorizedID: plurigrid/asi/implementing-network-deception-with-honeypots

Repository

plurigrid/asi
plurigridLicense: MIT
165

Install this agent skill to your local

pnpm dlx add-skill https://github.com/plurigrid/asi/tree/HEAD/plugins/asi/skills/implementing-network-deception-with-honeypots

Skill Files

Browse the full folder contents for implementing-network-deception-with-honeypots.

Download Skill

Loading file tree…

plugins/asi/skills/implementing-network-deception-with-honeypots/SKILL.md

Skill Metadata

Name
implementing-network-deception-with-honeypots
Description
Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect unauthorized access, lateral movement, and attacker reconnaissance.

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]