Wireshark
Integrates Wireshark network analysis capabilities with AI systems, enabling automated packet analysis and insights.
About
Wireshark facilitates a standardized approach for AI assistants to access and analyze network packet data. By implementing the Model Context Protocol, it bridges the gap between low-level network data captured by Wireshark and high-level AI understanding, allowing for intelligent analysis, summarization, and anomaly detection directly within AI systems like Claude. It allows the AI to perform tasks like capturing live traffic, analyzing packet captures, and identifying suspicious network behavior, all without manual data transfer.
Key Features
- Converts pcap files into token-optimized summaries for AI consumption.
- Offers pre-built prompts for common network analysis tasks.
- Provides enhanced context for common network protocols (HTTP, DNS, TLS, etc.).
- Supports IP address anonymization for privacy.
- Highlights unusual or suspicious network patterns.
- 2 GitHub stars
Use Cases
- Generating summaries of network activity for reporting and compliance.
- Troubleshooting network performance issues using AI-driven insights.
- Automated analysis of network traffic for security threats.
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