Detecting Malicious Requests with Keras & Tensorflow
Security is a concern for any public facing web application. Good development practices can assist with defending against attempts from users looking to expose data or bring down an app. However, sometimes not all attack vectors are handled and new exploits are bound to be discovered. This is where security software can assist with monitoring and preventing unforeseen attacks. So what if you could
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GitHub - abhizaik/SafeSurf: A phishing domain detection tool that also allows you to safely view the website without actually visiting it.
Predicting Attacks, with Python and SKLearn — CSIRT Gadgets, LLC
Hunting for suspicious domains with Python and SKLearn — CSIRT Gadgets, LLC
GitHub - csirtgadgets/csirtg-domainsml-py: Predict Phishing Domains with SKLearn and Python
Phishing Predictions with Deep Learning and TensorFlow — CSIRT Gadgets, LLC
How to Hunt for Phishing Domains using TensorFlow — CSIRT Gadgets, LLC
GitHub - csirtgadgets/tf-domains-example: Tensorflow Phishing Domains Example
GitHub - maximsachs/phishing_classification_recurrent_nn
GitHub - lhw-1/pytorch-phishing-rnn: Recurrent Neural Network (RNN) project for NUS CS module CS3244: Machine Learning
GitHub - kdhageman/phishing_generator: A phishing domain name generator
GitHub - birdhan/SecurityProduct: å¼€æºå®‰å…¨äº§å“æºç ，IDSã€IPSã€WAFã€èœœç½ç‰
GitHub - galihap76/apanel: Apanel is a tool to find admin panel of a site.
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