IoTNet
OfficialAnalyze IoT network traffic for vulnerabilities.
Software Engineering#vulnerability assessment#coap#protocol detection#iot security#mqtt#pcap analysis#network traffic analysis
AuthorBrownFineSecurity
Version1.0.0
Installs0
System Documentation
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.
Dependency Matrix
Required Modules
python-pipcoloramanmapinetutils
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: IoTNet Download link: https://github.com/BrownFineSecurity/iothackbot/archive/main.zip#iotnet Please download this .zip file, extract it, and install it in the .claude/skills/ directory.