NetNerve is an innovative tool designed to transform .pcap files into comprehensible security insights using AI (LLaMA-3 via Groq). Rather than requiring users to sift through complex network data like TCP flags and port numbers, it presents clear, plain English explanations of network traffic activities. The platform employs a tech stack that includes Next.js 14 with TypeScript for the frontend and FastAPI with Python/Scapy for backend packet processing. Its architecture prioritizes privacy, as files are processed in memory and never stored. Users can try NetNerve with .pcap/.cap files up to 2MB at netnerve.vercel.app. The creator seeks feedback from packet analysis professionals regarding useful features or specific protocols and attack patterns that could enhance their experience.
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