lucasayres / url-feature-extractor
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.
☆60Updated 3 years ago
Alternatives and similar repositories for url-feature-extractor:
Users that are interested in url-feature-extractor are comparing it to the libraries listed below
- Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection☆157Updated 4 years ago
- Malicious Web Sites Detection using Suspicious URL☆73Updated 4 years ago
- AI: Deep Learning for Phishing URL Detection☆48Updated 2 years ago
- Malicious URL detector using keras recurrent networks and scikit-learn classifiers☆33Updated 6 years ago
- A Dataset for the task of Malicious URL Detection☆21Updated 7 years ago
- Detecting malicious URLs using an autoencoder neural network☆41Updated 2 years ago
- Machine learning to classify Malicious (Spam)/Benign URL's☆125Updated 3 years ago
- Chrome extension for detecting phishing web sites☆242Updated 4 years ago
- Multi-class malware classification using Deep Learning☆76Updated 4 years ago
- Detecting malicious URLs using Machine Learning☆29Updated 6 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆167Updated last year
- A multi-layered and multi-tiered Machine Learning security solution, it supports always on detection system, Django REST framework used, …☆46Updated last year
- Machine Learning for Phishing Website Detection☆55Updated 4 years ago
- Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing…☆62Updated last year
- Identify malicious behavior and attacks using Machine Learning with Python☆47Updated 8 years ago
- Collection of cyber security and "AI" relevant topics☆74Updated 7 years ago
- Phishing websites are fraudulent sites that impersonate a trusted party to gain access to sensitive information of an individual person o…☆13Updated 4 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆139Updated 6 years ago
- Malware Detection and Classification Using Machine Learning☆332Updated 7 years ago
- ☆12Updated last year
- Experiments to detect phishing websites using neural networks☆19Updated 5 years ago
- ☆74Updated 6 years ago
- ☆12Updated last year
- Uses deep learning and machine learning techniques to detect and classify web pages as spam, malware and phishing☆62Updated 4 years ago
- This repository holds the dataset used to conduct experiments for the "Cyberthreat Detection from Twitter using Deep Neural Networks" acc…☆31Updated 4 years ago
- Machine Learning Models to Detect and Classify Malicious URLs☆47Updated 2 years ago
- PyTorch/HuggingFace Implementation of URLTran: Improving Phishing URL Detection Using Transformers☆33Updated 2 years ago
- ☆55Updated 6 years ago
- A LSTM based framework for handling multiclass imbalance in DGA botnet detection☆21Updated 4 years ago
- Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…☆16Updated 4 years ago