maluta

maluta / privacy-scanner

Public

Scan WiFi networks to detect hidden cameras and surveillance devices

19
1
100% credibility
Found Apr 08, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A cross-platform tool that scans WiFi networks in rental properties to detect hidden cameras and surveillance devices, generating risk-assessed reports.

How It Works

1
🏠 Arrive at your rental

You're staying at an Airbnb or vacation rental and want to check for hidden cameras to protect your privacy.

2
🔍 Find the privacy scanner

Search online and download this free tool that checks your WiFi for surveillance devices.

3
💻 Run the scanner

Open the tool on your laptop or computer—it automatically finds your WiFi network and starts scanning.

4
📡 See devices appear

Watch as it lists all connected gadgets, highlighting any from camera makers or with suspicious features.

5
📊 Check risk colors

Review the easy color codes—red for danger, green for safe—to spot any threats quickly.

6
📄 Get your report

Save a beautiful, printable summary with photos tips and what to do next.

🛡️ Feel secure

Know your space is safe, or have proof to contact the host or platform right away.

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Star Growth

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AI-Generated Review

What is privacy-scanner?

This Python tool scans your local WiFi network for hidden cameras and surveillance devices, flagging risks like Hikvision or Dahua gear via MAC manufacturers, open RTSP ports, and service discovery. Aimed at rental stays like Airbnb, it auto-detects your subnet and interface, runs a 7-phase pipeline using nmap, and outputs color-coded terminal summaries plus interactive HTML reports in English, Portuguese, or Spanish. Travelers get quick peace of mind without physical sweeps.

Why is it gaining traction?

It stands out with cross-platform support (Linux, macOS, Windows), a quick mode for 2-minute scans skipping deep checks, and self-contained offline HTML reports with device details, risk charts, and print-friendly layouts. Unlike basic nmap scripts, it correlates OUI data, mDNS/UPnP/ONVIF probes, and HTTP inspections into actionable risk levels (CRITICAL to INFO), plus rental platform policy guides. Devs dig the defensive privacy angle for real-world travel hacks.

Who should use this?

Frequent Airbnb or VRBO guests verifying listings before unpacking, security engineers auditing short-term rentals, or paranoid travelers scanning hotel WiFi on arrival. Ideal for anyone running `sudo python3 scan.py --quick` from a laptop to spot undeclared cams without apps or extra hardware.

Verdict

Worth a spin for niche privacy scanning on GitHub—solid docs and CLI make it dead simple, but 19 stars and 1.0% credibility score signal early maturity with room for more tests and edge cases. Fork and tweak if it fits your workflow.

(198 words)

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