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Sniffnet turns live network traffic into a readable desktop dashboard

A cross-platform app for monitoring Internet traffic with filters, charts, PCAP exports, and real-time inspection.

Jun 8·github.com·2 min read

Intelligence analysis by GPT-5.4 Mini

GyulyVGC/sniffnet repository on GitHub
GyulyVGC/sniffnet repository on GitHubImage: github.com

Sniffnet packages packet inspection into a desktop app that surfaces traffic, hosts, services, and alerts in a way non-specialists can use. Its README emphasizes broad platform support, localization, and practical troubleshooting.

Why it matters

For developers and security-minded users, Sniffnet offers a friendlier way to observe what a machine is doing on the network without dropping into raw packet tools. The combination of live charts, host enrichment, and custom blacklists makes it useful for diagnosis and situational awareness.

Sniffnet is like a window that lets someone watch the internet traffic coming and going from a computer. It labels the cars on the road, shows maps and charts, and can ring a bell when something unusual passes by.

Analysis

What it does

Sniffnet is presented as a desktop application to comfortably monitor Internet traffic. The README positions it as cross-platform, intuitive, and reliable, with builds for Windows, macOS, and Linux. It also ships in many languages, which matters for a utility meant to be used interactively rather than buried in a terminal.

How it works at a high level

The app lets a user choose a network adapter, apply filters, and inspect traffic in real time. It can show overall statistics, live traffic-intensity charts, and detailed connection views. The README also says it can identify local-network connections, infer the geographical location of remote hosts, and resolve domain names and ASNs for peers. It goes further by recognizing more than 6000 upper-layer services, protocols, trojans, and worms, and by showing which programs are generating traffic.

Notable capabilities

Sniffnet can import and export capture reports as PCAP files, save favorite hosts, services, and programs, and keep monitoring even when minimized. It also supports custom notifications, real-time search and inspection of connections, IP blacklists for highlighting potentially dangerous traffic, and custom themes.

Who it is for

The README points readers to a wiki for setup, advanced usage, troubleshooting, and FAQs, which suggests a project aimed at both casual users and practitioners who want a guided workflow. The acknowledgements mention iced for the GUI, MaxMind for geolocation and ASN data, and SignPath for Windows code signing. The project also highlights sponsors and invites contributions and issue reports, signaling an actively maintained open-source tool with a public roadmap and regular updates.

Key points

  • Sniffnet is a cross-platform desktop app for monitoring Internet traffic in a more approachable way than raw packet tools.
  • It supports adapter selection, filters, PCAP import/export, live charts, notifications, and real-time connection inspection.
  • The app enriches traffic with local-network detection, geolocation, domain, ASN, and program-level identification.
  • The README emphasizes practical use: a wiki, troubleshooting guidance, custom themes, and support for many languages.
  • The project is openly maintained, thanks contributors and sponsors, and points users to a public roadmap and release downloads.
The Upside

If Sniffnet keeps growing, its multilingual desktop workflow and rich host/service detection could make it a default visual companion for network troubleshooting. The roadmap, wiki, and regular feature updates suggest room for broader adoption across platforms.

The Downside

Its usefulness depends on users meeting the required operating-system dependencies, and the README notes renderer quirks on some hardware unless a different backend is set. That means setup and graphics compatibility could still block some users even when the feature set is attractive.

Originally reported at

github.com

Discernion covers the story. Read the full piece at the source.

Tagsopen-sourcesecuritytoolstech

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 8, 2026

Source

github.com

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open-sourcesecuritytoolstech

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