Explore live open-source projects and AI models.

Free educational courses in cybersecurity, reverse engineering, malware analysis, and programming designed to expand access, build practical skills, and support the next generation of cyber defenders.

Hands-on cybersecurity projects to enhance skills in phishing investigation, malware analysis, network intrusion detection, and DDoS attack response.

Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or database firewalls), user (UBA), process behavior (anti-fraud).

Cybersecurity blog. Red Team, pentest, malware analysis and dev

🛡️ The Ultimate Cybersecurity Library | 160+ curated books, guides & resources covering Ethical Hacking, Penetration Testing, Bug Bounty, Red/Blue Team, OSINT, Malware Analysis, CEH, OSCP, CISSP, CHFI, Network Security, Kali Linux, Web Security & more. Free, organized, and clickable. Knowledge sh... Read more

A collection of Malware Analysis software, materials, libraries, documents, books, resources about malware analysis in Cybersecurity.

​ ​#​ ​Ukraine-Cyber-Operations ​Curated Intelligence is working with analysts from around the world to provide useful information to organisations in Ukraine looking for additional free threat intell... Read more

A free, no-paywall cybersecurity self-study library covering foundations, pentesting, web security, exploit development, malware analysis, cryptography, defense, and programming. Books are organized by domain and difficulty with a guided learning path so beginners can progress to advanced securit... Read more

A structured repository designed for cybersecurity professionals and enthusiasts. Covers topics such as OSINT, NMAP, WAPT, PTES, IDS/IPS, SIEM, malware analysis, privilege escalation, and more. Ideal for mastering ethical hacking, penetration testing, and advanced security techniques.

This project focuses on static and dynamic malware analysis using REMnux and FlareVM. It involves setting up analysis environments on both platforms to examine malware behavior, dissect malicious code, and understand threat vectors. Goals: enhance malware detection, improve analysis techniques, a... Read more