Understanding Nmap Anonymous Analytics

In the output, a single line appeared: “Anonymous statistics enabled.” That feature is called Nmap Anonymous Analytics, and it’s been part of Nmap since version 7.90. It quietly sends usage data to the Nmap project, helping developers understand how the tool is used and where to improve it.

Nmap Anonymous Analytics does not send identifying network data, scan results, or IP addresses from your scans. It focuses on metadata like Nmap version, available scripts, runtime options, scan duration, and OS type. This telemetry allows the maintainers to measure adoption of features, track performance issues, and prioritize updates. The data is transmitted over HTTPS to Nmap’s servers and stripped of anything that could identify the source network.

By default, Nmap Anonymous Analytics is enabled. You can disable it with the --no-stats option when running scans, or change the default behavior in your Nmap configuration file. Some environments require this for compliance, security policies, or internal privacy rules. For others, keeping it on supports the long-term stability and innovation of the tool, especially in areas like NSE script usage trends and optimization for large-scale scanning.

If you need to verify whether Nmap Anonymous Analytics is active in your environment, run nmap --version and look for the statistics line. You can also inspect Nmap’s source code or network traffic to confirm what is sent. The reported metrics are minimal by design, but you should still evaluate them against your organization’s privacy requirements.

Engineers often ask whether anonymous telemetry poses a security risk. In this case, the function is narrow, transparent, and easy to disable. The choice comes down to whether you want to contribute non-sensitive insight back to the tools you rely on, or keep every possible packet under local control.

To see analytics and scanning come together in a controlled, developer-ready environment, try running Nmap with and without Anonymous Analytics inside a secure pipeline. Then compare the output and network traces yourself. For an even faster way to explore and share scan results with your team, connect it into a live workflow on hoop.dev and see it in action in minutes.