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Source channel @githubtrending · Post #14669 · May 3

#html#htr_tech#phisher#phishing#phishing_attacks#phishing_pages#zphisher Zphisher is a tool that helps create fake login pages for popular websites like Facebook and Google. It offers pre-built templates and can automatically generate phishing URLs, making it easy to use even for beginners. The tool can collect login details entered by victims and send them to the attacker. It supports SSL encryption, making fake pages look more legitimate. Zphisher is meant for educational purposes only and should not be used to break the law. It helps users understand how phishing works, which can be beneficial for learning cybersecurity. https://github.com/htr-tech/zphisher

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

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https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning

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