Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/
-
Updated
Mar 20, 2023 - Svelte
#
phishing-websites-detection
Here are 6 public repositories matching this topic...
Phishers use the websites which are visually similar to those real websites. So, we developed this website so that user can know whether the URL is phishing or not before using it. URL -
machine-learning deep-learning cyber-security phishing-attacks malicious-url-detection phishing-detection phishing-websites phishing-websites-detection pishing-links-detection phishing-website-detection-python
-
Updated
May 9, 2024 - Jupyter Notebook
PhishShield is an open-source project aimed at detecting phishing websites using machine learning techniques. Leveraging advanced algorithms, PhishShield analyzes various features of URLs to distinguish between legitimate websites and potential phishing attempts.
-
Updated
Jun 13, 2024 - Python
Detecting phishing websites using machine learning (deep learning) with tensorflow keras. With accuracy of 97.3%
python machine-learning deep-neural-networks deep-learning neural-network phishing phishing-attacks phishing-sites phishing-detection phishing-websites-detection phishing-website-detection-python phising-dataset
-
Updated
Nov 9, 2022 - Jupyter Notebook
This project develops an ML binary classification model to predict phishing webpages.
mysql python machine-learning sql dns-queries webscraping phishing-websites-detection model-explainability
-
Updated
Apr 11, 2023 - Jupyter Notebook
Phishers often create websites that closely mimic legitimate ones to deceive users. To combat this, we developed a platform where users can verify if a URL is phishing before interacting with it.
javascript html machine-learning database deep-learning phishing python3 cybersecurity html-css-javascript phishing-sites malicious-url-detection phishing-detection phishing-links-detection phishing-websites-detection phishing-website-detection-python
-
Updated
Nov 18, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the phishing-websites-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the phishing-websites-detection topic, visit your repo's landing page and select "manage topics."