implementing-network-deception-with-honeypots

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. Use when deploying and manage network honeypots using opencanary, t-pot, or cowrie.
domain	cybersecurity
tags	["deception","honeypot","opencanary","cowrie","t-pot","detection","lateral-movement","network-security"]
subdomain	deception-technology
version	1.0
author	oyi77
license	Apache-2.0
nist_csf	["DE.CM-01","DE.AE-06","PR.IR-01"]

Implementing Network Deception With Honeypots

Overview

Cybersecurity skill for implementing network deception with honeypots. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "implementing network deception with honeypots"

• "Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect"

• 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

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

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

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}