Can I use Wireshark filters with this skill?

Yes, the tool supports standard Wireshark display filters for PCAP analysis and BPF syntax for live captures.

Does IoTNet require root access?

Live network capture requires sudo/root privileges to access the network interface, while analyzing existing PCAP files does not require elevated permissions.

Which IoT protocols can it detect?

It identifies a wide range of protocols including MQTT, CoAP, Zigbee, Z-Wave, ONVIF, UPnP/SSDP, and Modbus, with the ability to add more via custom config.

What kind of security vulnerabilities does it find?

IoTNet identifies high-risk issues such as unencrypted traffic, plaintext credentials, missing TLS, weak authentication, and insecure protocol versions.

IoT Network Traffic Analyzer

Name: IoT Network Traffic Analyzer
Author: BrownFineSecurity

byBrownFineSecurity

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494

Security & Testing

Analyzes IoT network traffic to detect specialized protocols and identify security vulnerabilities in real-time or from packet captures.

About

IoTNet is a specialized network analysis skill designed for IoT penetration testing and security auditing. It enables Claude to inspect packet captures (PCAP) or perform live network monitoring to identify common IoT protocols like MQTT, CoAP, and Zigbee. By utilizing deep packet analysis, the skill automatically detects security weaknesses such as unencrypted communications, insecure authentication mechanisms, and protocol-specific vulnerabilities, providing a comprehensive overview of an IoT device's network security posture and actionable remediation steps.

Key Features

Customizable detection rules through JSON configuration files
Security vulnerability identification for unencrypted or weak authentication
Real-time live network capture and offline PCAP file analysis
494 GitHub stars
Advanced filtering using BPF syntax or Wireshark-style display filters
Automated detection of IoT protocols including MQTT, CoAP, and Zigbee

Use Cases

Debugging and analyzing protocol distribution in complex IoT environments
Performing security audits on consumer or industrial IoT devices
Monitoring network traffic for suspicious or insecure IoT device behavior

About

Key Features

Customizable detection rules through JSON configuration files
Security vulnerability identification for unencrypted or weak authentication
Real-time live network capture and offline PCAP file analysis
494 GitHub stars
Advanced filtering using BPF syntax or Wireshark-style display filters
Automated detection of IoT protocols including MQTT, CoAP, and Zigbee

Use Cases

Debugging and analyzing protocol distribution in complex IoT environments
Performing security audits on consumer or industrial IoT devices
Monitoring network traffic for suspicious or insecure IoT device behavior