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The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
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Community curated list of templates for the nuclei engine to find security vulnerabilities.
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A curated list of CTF frameworks, libraries, resources and softwares
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
HTML5 Security Cheatsheet - A collection of HTML5 related XSS attack vectors
📗 How to write cross-platform Node.js code
🔒Unified API for password hashing algorithms
Following googlecode project crypto-js, provide standard and secure cryptographic algorithms for NodeJS. Support MD5, SHA-1, SHA-256, RC4, Rabbit, AES, DES, PBKDF2, HMAC, OFB, CFB, CTR, CBC, Base64