Advanced Camera Phishing Tool using Serveo.net & Cloudflared for Port Forwarding
CamHawk is a camera phishing tool that tricks users into granting webcam access, captures their images, and sends them to your machine. It uses JavaScript for the server, Bash scripting for automation, and now supports multiple tunneling options for port forwarding.
CamHawk is made for ethical hacking and security research. Do not use it for illegal activities. The developer is not responsible for any misuse
✔ Real-time Photo Capture – Instantly saves images as soon as the target grants access.
✔ Multiple Port Forwarding Options – Choose between Serveo.net and Cloudflared for tunneling.
✔ Live Terminal Updates – Displays "Photo Received!" along with the target’s IP address when an image is captured.
✔ Automated Dependency Installation – Installs Node.js, express.js ,npm, SSH, and Cloudflared if missing.
✔ User-Friendly Bash Script – Easily start, stop, and manage the server with a simple command.
✔ Automatic Cloudflared Setup – Ensures Cloudflared is installed and configures it for tunneling.
What You Need:
- Linux (
Kali, Parrot, Ubuntu, etc.) - npm (required for install
express.js. if it is not installed it will automatically installnpm) - Node.js and expressjs ( In linux distributions like
kalilinux,parrot osetc.. it automatically installnodejsandexpressjsif it is not installed) - Port Forwarding Options:
- Serveo.net – Used as the default option for tunneling
- Cloudflared – Available as an alternative for port forwarding and is automatically installed if missing.
Steps to Install:
- Clone the repository
git clone https://github.com/s-r-e-e-r-a-j/CamHawk.git- Navigate to the CamHawk directory
cd CamHawk- Navigate to the CamHawk directory
cd CamHawk- Start the tool
bash camhawk.sh1️⃣ Run the tool:
bash camhawk.sh2️⃣ Choose a port forwarding method – Select between Serveo.net or Cloudflared for tunneling.
3️⃣ Share the generated link with the target.
4️⃣ Once they open the link, their camera activates, and images are saved automatically.
5️⃣ Captured images are stored in the capture/ folder.
This project is licensed under the MIT License.