Cloudflare Learning Center
The Cloudflare Learning Center provides educational resources on various cybersecurity and internet-related topics. It covers concepts like: - Distributed Denial of Service (DDoS) attacks and botnets - Content Delivery Networks (CDNs) and their performance, security, and reliability - Domain Name System (DNS), its security, server types, and records - Web application security, data breaches, brute force attacks, and performance optimization - Serverless computing, edge computing, and Function as a Service (FaaS) - SSL/TLS encryption protocols, certificates, and HTTPS - Bots, bot management, credential stuffing, and content scraping - Cloud computing, multicloud, hybrid cloud, and cloud firewalls - Zero Trust security principles, ZTNA, CASB, and data loss prevention - Secure Access Service Edge (SASE), ZTNA, NaaS, and NGFW - Network layer, internet fundamentals, routing, and LANs - Data privacy, GDPR, cookies, and warrant canaries - Video streaming, live streaming, encoding, and HLS - Email security, spam prevention, phishing detection, and email spoofing - Artificial Intelligence (AI), Large Language Models (LLMs), embeddings, and vector databases
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A comprehensive cheat sheet for accessing Windows systems from Linux hosts using smbclient and rpcclient tools, covering password management, user and group enumeration, and more.
A comprehensive cheat sheet for Windows and Linux terminals and command lines, covering essential commands and syntax for various tasks.
A comprehensive cheat sheet for using JtR (John the Ripper), a password cracking tool.
A comprehensive reference guide to Nmap's scripting engine and its various options, scripts, and target specifications.
A tool for testing and analyzing RFID and NFC tags, allowing users to read and write data, and perform various attacks and tests.
Utilizing SIEM, SOAR, and EDR technologies to enhance security operations with a focus on reducing incident response time.
A comprehensive analysis of AWS IAM Access Analyzer, evaluating its capabilities, limitations, and effectiveness in identifying publicly exposed AWS resources.
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