openvas-scanner VS OpenCV

OpenVAS - https://github.com/greenbone/openvas-scanner

OWASP Zap, OWASP Amass, OpenVAS Scanner

And OpenVAS and OpenSSH and OpenBSD and OpenNN and OpenAFS and on and on and on

We can create an automation pipeline to patch the server using Foreman or Red Hat Satellite and for scanning, we can use OpenVAS or Nessus to get the list of vulnerabilities.

OpenVAS

I don't recommend cheaping out on vuln scanning, but if you really can't get any money there's always OpenVAS. That will allow you to do credentialed scanning and track vulnerabilities in your environment. It's no real substitute for Tenable or similar, but it's better than nothing.

Referenceshttps https://www.kaggle.com/datasets/riyaelizashaju/skin-disease-image-dataset-balanced?fbclid=IwAR3wbTp8l5yo_5fx6HAX8Vd2-9cca3khAc8EiBGFObaALfdVid29IuB_rYE https://keras.io/api/applications/vgg/ https://www.tensorflow.org/tutorials/images/cnn?hl=th https://opencv.org/

Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

You'll need to plot the predictions. There are a few open source tools to do that, supervision is one you can use (https://github.com/roboflow/supervision) and opencv is another common option (https://github.com/opencv/opencv)

You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/).

The OpenCV4NodeJs A.I. library provides an interface for calling OpenCV routines in NodeJS.