User Shares Claude Code Check-In Safety Prompt: Locates Hidden Cameras in 90 Seconds
A user shared a set of Claude Code prompts that can scan for hidden cameras, Bluetooth trackers, and suspicious phone programs before checking into a hotel or Airbnb. According to actual test feedback from a user on Platform X, the solution located a pinhole camera behind a bathroom mirror within 90 seconds. The solution sets Claude Code as a read-only check-in safety assistant, prohibiting account login, use of default passwords, and initiation of vulnerability exploitation. The process includes using arp-scan and nmap for Wi-Fi scanning, using a bleak-based script to listen for Bluetooth tracker signatures, using Amnesty International's Mobile Verification Toolkit to audit the phone, and finally outputting a ranked table of suspicious findings and follow-up recommendations. The original post also points out limitations: network scanning can only discover cameras that are on the connected network; devices that record to an SD card, create their own hotspot, or are outside the isolated network will not be discovered.
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The original post provides a reusable check-in safety scanning prompt and a five-step process, and also explains the applicable boundaries of network scanning.
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Laptops Can Be Used This Way Too! A Single AI Command Turns It Into a Detector: Find Hidden Cameras in 90 Seconds
Fast Technology Download the Client | Exclusive First Look October 27, 2026, 09:27:05 | From Henan Updated October 27, 2026, 10:36:55
Fast Technology News, October 27: Recently, a user shared a Claude Code prompt that can make a laptop quickly scan a room for hidden cameras, Bluetooth trackers, and suspicious programs on a phone before checking into a hotel or Airbnb.
According to actual test feedback from a user on Platform X, the solution successfully located a pinhole camera hidden behind a bathroom mirror in just 90 seconds, far more efficient than traditional manual inspection.
It is understood that the core of this solution lies in setting Claude Code as a check-in security assistant and establishing strict read-only rules: the AI is only allowed to perform device discovery and passive listening, and is prohibited from logging into accounts, using default passwords, launching vulnerability exploits, or touching devices that do not belong to the user.
The entire scanning process is divided into five stages. The first step is a Wi-Fi scan, in which the AI lists all devices on the guest network through arp-scan and nmap, and identifies vendors based on MAC addresses.
At the same time, it checks commonly used camera ports, flags brands such as Hikvision and RTSP streaming ports, but explicitly prohibits opening any video stream.
The second step is a Bluetooth scan. Claude Code uses a Python script based on the bleak library to listen for 30 seconds every 2 minutes over a 10-minute period, recording vendor data, service UUIDs, and signal strength.
The script identifies the characteristics of Apple Find My, Tile, and Samsung SmartTag, matching based on payload and signal rather than relying on MAC addresses, because Bluetooth trackers continuously rotate their MAC addresses.
The third step targets the user's phone, using Amnesty International's open-source Mobile Verification Toolkit to conduct a security audit.
The final step compiles all suspicious findings into a ranked table and provides follow-up recommendations ranging from changing rooms to calling the police.
However, Claude Code's capabilities also have obvious limitations: network scanning can only discover cameras that are on the connected network. If a device records footage to an SD card, creates its own hotspot, or is located outside the guest isolation network, the scan results will not show it.
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