Protecting your data has never been more important. My cyber security blog is here to help you stay ahead of the game. I cover a wide range of topics, including phishing attacks, ransomware, data b…

Hands-on cybersecurity projects built for learning, experimentation, and practical security research — featuring offensive and defensive tools, automation scripts, and real-world simulations for et…

This Repository is a collection of different ethical hacking tools and malware's for penetration testing and research purpose written in python, ruby, rust, c++, go and c.

Protecting your data has never been more important. My cyber security blog is here to help you stay ahead of the game. I cover a wide range of topics, including phishing attacks, ransomware, data b…

Learn and implement algorithms: sorting, searching, graph theory, and dynamic programming. Includes code examples, explanations, and performance analysis.

A guide to using Kali Linux tools for web penetration testing, ethical hacking, forensics, and bug bounty. Covers setup, key tools, methodologies, and best practices. Optimized for security profess…

My personal research on quantum mechanics and quantum computing.

Explore a collection of resources and projects in Computer Science, covering algorithms, data structures, programming languages, and emerging technologies.

A collection of advanced Python scripts for cybersecurity, penetration testing, and ethical hacking.

Secure Golang web app with best practices: authentication, authorization, input validation, CSRF protection, and secure headers. Example code for secure development.

Explore free, self-hostable network services & web apps: email, file sharing, CMS, and more. Includes setup guides and Docker support for easy deployment.

Secure PHP web apps with best practices: SQLi prevention, XSS protection, CSRF tokens, password hashing, and secure session management.

Explore Docker examples: containerize apps, multi-container setups with Docker Compose, CI/CD integration, and best practices for efficient deployment.

Curated collection of free programming books: Python, JavaScript, Go, Rust, and more. Learn coding, algorithms, and system design with open-source resources.

Explore embedded & IoT security: secure firmware, device hardening, encryption, and vulnerability analysis. Practical examples for secure IoT development.

Learn malware analysis techniques: reverse engineering, dynamic/static analysis, and sandboxing. Includes tools, scripts, and sample malware for hands-on practice.

Master web security: OWASP Top 10, XSS, SQLi, CSRF, and secure coding practices. Includes labs, tools, and examples for secure web development.

Explore Android security: secure app development, reverse engineering, vulnerability testing, and best practices for data protection and encryption.

Secure DevOps pipelines: CI/CD security, infrastructure as code (IaC) best practices, container security, and vulnerability scanning for robust deployments.

Learn fuzzing techniques for vulnerability discovery: AFL, libFuzzer, and custom fuzzers. Includes examples, tools, and tips for effective software testing.

Explore password cracking techniques: brute force, dictionary attacks, and rainbow tables. Includes tools, scripts, and ethical guidelines for security testing.

Explore ML for security: anomaly detection, malware classification, and threat prediction. Includes datasets, models, and tools for AI-driven cybersecurity solutions.

Explore ethical hacking and security: penetration testing, vulnerability scanning, and exploit development. Includes tools, scripts, and hands-on labs.

Python projects for all levels: web scraping, data analysis, automation, and machine learning. Includes examples, libraries, and best practices.

Explore eBPF for security: real-time monitoring, intrusion detection, and kernel-level tracing. Includes examples, tools, and use cases for advanced threat analysis.

Master C++ (or C) programming: data structures, algorithms, system design, and performance optimization. Includes examples and best practices for all levels.

Explore neuroscience concepts: brain modeling, neural networks, and cognitive simulations. Includes datasets, tools, and research examples for computational neuroscience.

Master data visualization: interactive charts, dashboards, and storytelling with tools like Matplotlib, D3.js, and Tableau. Includes examples and datasets.