📹 CamBlockX

CamBlockX is an open-source terminal-based wireless camera discovery and network security profiling utility built strictly for Kali Linux. It provides system administrators and penetration testers with a passive, non-disruptive framework to map local airwaves, analyze 802.11 management frames, and isolate potential wireless video streaming nodes based on MAC Organization Unique Identifier (OUI) profiles.

Developed by Unknownx007.

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⚙️ Operational Mechanics

1. Subsystem Verification: Validates root workspace execution privileges and flushes potentially conflicting background network processes to secure a clean testing scope.
2. Monitor Mode Synchronization: Programmatically shifts your local wireless card to a raw RF monitor status, injecting a 3.5-second stabilizer delay to safeguard internal kernel drivers from mode conflicts.
3. Passive OUI Traffic Analysis: Captures over-the-air 802.11 Beacon and Probe Response parameters, checking captured hardware signatures against established wireless camera footprints (such as Hikvision, Wyze, Ring, and Dahua).
4. Crash-Resilient Environment Restore: Integrates a robust global teardown sequence via atexit that drops interface link states, shifts the card back to a standard managed state, and cleanly restarts the NetworkManager engine upon application termination.

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📦 Workspace Deployment Guide

Because this application communicates directly with local system hardware controllers via raw sockets, it must run inside an isolated root layer environment:

# 1. Clone this competitive suite repository
git clone https://github.com/Unknownx007/CamBlockX
cd CamBlockX

# 2. Configure and isolate the python virtual environment layer
python3 -m venv .venv
source .venv/bin/activate

# 3. Pull required modules securely
pip install -r requirements.txt

# 5. Initialize the application manager tool

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🚀 Usage Guide

1. Upon executing the main script, the system will clean background processes and securely unlock your wireless card wlan0.
2. The multi-threaded background channel hopper will cycle frequencies across channels 1-13 automatically.
3. Observe the high-contrast dashboard panel as it groups and tracks ambient wireless frames, filtering out phones and computers to highlight camera assets in green text.
4. Press Ctrl + C at any point to safely stop the capture. The automated hardware cleanup protocol will trigger instantly, restoring your network card and internet services to their exact factory settings.

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📜 License

Distributed under the MIT License. See LICENSE for more details.