name: performing-iot-attack-simulation description: >- Simulate attacks targeting IoT and OT devices including firmware extraction, protocol fuzzing, default credential exploitation, and network segmentation bypass to assess IoT security posture and industrial control system defenses. domain: cybersecurity subdomain: adversary-simulation tags:

• iot-security
• ot-security
• firmware-analysis
• protocol-fuzzing
• industrial-control version: "1.0" author: defconxt license: AGPL-3.0 metadata: mitre-attack: ["T1200", "T1078.001", "T1542", "T1498", "T1557"] frameworks: ["MITRE ATT&CK ICS", "OWASP IoT Top 10", "IEC 62443"] tools: ["python3", "firmwalker", "binwalk", "boofuzz"]

Performing IoT Attack Simulation

Overview

IoT attack simulation targets connected devices and operational technology systems — from firmware extraction and analysis to protocol fuzzing, default credential exploitation, and network segmentation bypass. These assessments validate device hardening, network isolation controls, and detection capabilities for IoT-specific attack patterns that traditional IT security tools often miss.

Prerequisites

Workflow

Step 1: Device Discovery and Enumeration

# Discover and fingerprint IoT devices on network segment
node scripts/agent.js discover --network 192.168.10.0/24 --output devices.json

# Enumerate device services and open ports
node scripts/agent.js enumerate --target 192.168.10.50 --deep

Step 2: Firmware Analysis

# Extract and analyze device firmware
node scripts/agent.js firmware-extract --image firmware.bin --output extracted/

# Scan extracted firmware for credentials and vulnerabilities
node scripts/agent.js firmware-scan --path extracted/ --checks all

Step 3: Protocol and Authentication Testing

# Fuzz IoT protocol implementation
node scripts/agent.js fuzz --target 192.168.10.50 --protocol mqtt --iterations 1000

# Test default and weak credentials
node scripts/agent.js cred-test --target 192.168.10.50 --wordlist iot-defaults.txt

Step 4: Segmentation and Reporting

# Test network segmentation between IoT and corporate segments
node scripts/agent.js segmentation-test --source iot-vlan --target corp-vlan

# Generate IoT security assessment report
node scripts/agent.js report --scope full --output iot-report.json

Detection

title: Iot Attack Simulation Detection
id: abfd58e6-d5d4-4ea0-87a3-375c2002bc01
status: experimental
description: Detects suspicious activity related to performing iot attack simulation techniques in adversary simulation context
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    CommandLine: "*performing*iot*"
  condition: selection
level: high
tags:
  - attack.t1200
  - attack.t1078.001
  - attack.t1542
  - attack.t1498
  - attack.t1557
  - attack.execution
falsepositives:
  - Authorized red team exercises during approved testing windows

Detection Opportunities

Verification

• IoT device inventory complete with firmware versions
• Firmware analysis identifies embedded credentials and vulnerabilities
• Protocol fuzzing completed without permanent device impact
• Network segmentation validated between IoT and corporate zones
• Report prioritizes remediation by device criticality

References

• OWASP IoT Top 10 — IoT vulnerability categories
• MITRE ATT&CK for ICS — Industrial control system techniques