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IoTNet

Analyze IoT network traffic from PCAP files or live captures to detect protocols and security vulnerabilities.

811|123|Updated Nov 17, 2025
Search Tags:#vulnerability assessment#coap#protocol detection#iot security#mqtt#pcap analysis#network traffic analysis
One-click install
npx skills add https://github.com/BrownFineSecurity/iothackbot --skill iotnet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: IoTNet
Source: https://github.com/BrownFineSecurity/iothackbot/tree/main/.claude/skills/iotnet
Command: npx skills add https://github.com/BrownFineSecurity/iothackbot --skill iotnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-pip, colorama, nmap, inetutils.

What problem does it solve?

This Skill automates the analysis of IoT network traffic, quickly detecting specific IoT protocols and identifying security vulnerabilities like unencrypted communications or plaintext credentials. This simplifies complex packet analysis, reducing the effort needed to assess the network security posture of IoT devices.

Core Features & Use Cases

  • IoT Protocol Detection: Automatically identifies common IoT protocols (MQTT, CoAP, Zigbee, etc.) in network captures.
  • Vulnerability Identification: Pinpoints security flaws such as unencrypted traffic, weak authentication, or insecure protocol versions.
  • Live & Offline Analysis: Supports both real-time traffic capture from an interface and analysis of existing PCAP files.
  • Use Case: Perform a live capture on your network interface for 60 seconds while an IoT device is communicating, then instantly get a report on detected IoT protocols and any security findings.

Quick Start

Use the IoTNet skill to perform a live network traffic capture on eth0 for 60 seconds and identify any IoT protocols or vulnerabilities.

Frequently Asked Questions about IoTNet

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze IoT network traffic for security vulnerabilities?▼

Analyze IoT network traffic by capturing packets from a live interface or loading a PCAP file, then detect protocols like MQTT and CoAP while identifying vulnerabilities such as unencrypted communications, weak authentication, and insecure protocol versions with severity-rated findings.

Can I detect MQTT and CoAP protocols in packet captures?▼

Yes. IoT protocol detection automatically identifies common IoT protocols including MQTT, CoAP, and Zigbee in both live network captures and existing PCAP files, reporting protocol distribution across your traffic.

What's the best way to perform live network traffic capture for IoT devices?▼

Capture live traffic by specifying a network interface and duration—for example, monitor eth0 for 60 seconds while an IoT device communicates—then instantly receive protocol detection and security vulnerability findings with remediation guidance.

Does PCAP analysis support filtering and custom detection rules?▼

Yes. PCAP analysis supports optional IP filters, capture filters, display filters, and custom detection rules to narrow analysis scope and detect specific vulnerability patterns tailored to your network environment.

What unencrypted communication indicators does IoT traffic analysis reveal?▼

Traffic analysis identifies unencrypted communications, plaintext credentials, and weak authentication signals in IoT protocols, providing actionable remediation guidance to secure detected vulnerabilities.

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