Pelicam is an open-source project developed to improve local network security by identifying and raising awareness of IP camera vulnerabilities.
It is designed for security researchers, cybersecurity professionals and technology enthusiasts who want to understand and mitigate the risks associated with these connected devices.
Our aim is for the project to be continually updated and improved. Our tool can be used as a simple scanner of cameras on a network, or as an attack tool to capture video streams or even change camera settings.
Built With
Getting Started
Prerequisites
- Need python and an IDE
- Install this library list :
scapy==2.5
opencv-python==4.9
onvif_zeep==0.2
psutil==5.9.8
Installation
Here’s how to use Pelicam
- Run
main.py
- Check if all the libraries are installed. You can verify this by running the following command in your terminal :
pip freeze
3. If the folder is complete, it should look like this :
Pelicam/
└── data
├── credentials.json
├── manuf.txt
└── pelicam.jpg
└── results
├── Screenshots
├── Onvif Links.txt
└── RTSP Links.jpg
├── attack_onvif.py
├── attack_rtsp.py
├── main.py
├── README.md
└── scanner.py
Usage
Here’s an example of how to use Pelicam. Yotube_video
Roadmap
- info of the cam OpenCV
- instore github in our project
- more cam options with Onvif
- GUI with PyQt
- convert the file into a linux /windows app
- be able to manage several cam
- Facial recognition with AI