Ml_securityinformatics
Short Course - Applied Machine Learning for Security Informatics
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Streamingphish | 278 | 2 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network. | ||||||||||
| Evilginx Course | 113 | 6 months ago | ||||||||
| Repository for uploading all extra resources for students enrolled in Simpler Hacking's Evilginx3 Pro Course | ||||||||||
| Url Classification | 98 | 3 years ago | 2 | Jupyter Notebook | ||||||
| Machine learning to classify Malicious (Spam)/Benign URL's | ||||||||||
| Phishing Website Detection | 78 | a year ago | Jupyter Notebook | |||||||
| It is a project of detecting phishing websites which are main cause of cyber security attacks. It is done using Machine learning with Python | ||||||||||
| Malicious Web Content Detection Using Machine Learning | 71 | 5 years ago | 3 | mit | Python | |||||
| Chrome extension for detecting phishing web sites | ||||||||||
| Ml_securityinformatics | 51 | 8 years ago | mit | Jupyter Notebook | ||||||
| Short Course - Applied Machine Learning for Security Informatics | ||||||||||
| Phishing Detection Plugin | 42 | 9 months ago | mit | JavaScript | ||||||
| A lite chrome extension for detecting phishing sites using random forest classifier | ||||||||||
| Malicious Urlv5 | 38 | a year ago | 3 | mit | Python | |||||
| A multi-layered and multi-tiered Machine Learning security solution, it supports always on detection system, Django REST framework used, equipped with a web-browser extension that uses a REST API call. | ||||||||||
| Phishing Dataset | 21 | a year ago | Svelte | |||||||
| Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/ | ||||||||||
| Url Feature Extractor | 18 | 5 years ago | Python | |||||||
| Extracting features from URLs to build a data set for machine learning. The purpose is to find a machine learning model to predict phishing URLs, which are targeted to the Brazilian population. | ||||||||||
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Jupyter Notebook
Machine Learning
Phishing