Get the CloakwireX Sensor

iPhone can't list the Wi‑Fi networks around you — Apple blocks it. The free CloakwireX Sensor runs on a Windows, Mac or Linux computer on the same network and lets your phone see every nearby network (name, signal, security) and fill in device MAC addresses. It runs on your own computer, talks only to your phone, and needs no account.

⬇ Download for Windows — no install
Python is built in — nothing to install, no setup. Unzip and double‑click. (~11 MB)
🔒 Security reviewed (Red/Blue/Purple) →
Mac or Linux? Download the cross‑platform version · or just the script

Set it up on your computer

🪟 Windows — nothing to install

  1. Download the Windows version above and unzip it (right‑click → Extract All).
  2. Open the folder and double‑click "Start CloakwireX Sensor".
  3. If Windows shows a blue "protected your PC" box, click More info → Run anyway. It isn't code‑signed yet, so Windows warns the first time — you can verify the download with the checksum below.
  4. A window opens with an Address and a Code — keep it open and pair your phone (below).

🍎 macOS

  1. Unzip, then double‑click start-sensor.command (Python 3 ships with macOS).
  2. For Wi‑Fi names on Mac, use the native CloakwireX Sensor app if you have it — the command‑line scan needs Location access Apple restricts.

🐧 Linux

  1. Make sure you have python3 and NetworkManager (nmcli): sudo apt install python3 network-manager.
  2. Unzip, then run ./start-sensor.sh (or python3 cloakwirex_sensor.py).

Pair your iPhone

On the phone: Details → Advanced tools → Nearby Wi‑Fi (Sensor) → Add Sensor → "Enter manually", then type the Address and Code the Sensor window shows (e.g. 192.168.1.50:8787 and ABCD‑EFGH‑IJKL‑MNOP). Your phone and the computer must be on the same Wi‑Fi.

Straight talk

🔒 Verify your download (SHA‑256)

On Windows PowerShell: Get-FileHash .\CloakwireX-Sensor-Windows.zip — on Mac/Linux: shasum -a 256 <file>. It should match:

Windows: 540964871c80bbf444353789f4ea4a8c5bccf89a7642163be355f7f21b2fe786
Cross‑platform: ba3aeb4a299cfae9bfcd957f7ca2e8b2e76db811abf64db99ca4ecdcadef1758