the-art-of-hacking/h4cker

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics...

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Summary Information

Updated 4 minutes ago
Added to GitGenius on September 1st, 2026
Created on June 19th, 2017
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 5,357
Total Stargazers: 29,316 (+1)
Total Subscribers: 1,083 (+0)

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Detailed Description

h4cker is an awesome-list repository that aggregates thousands of cybersecurity resources covering ethical hacking, bug bounties, digital forensics, incident response, AI security, vulnerability research, exploit development, and reverse engineering.

The repository addresses the challenge of finding organized, curated cybersecurity learning and reference material by structuring content across multiple domains. It organizes resources into cybersecurity domains including fundamentals, offensive and defensive security, application security, cloud and container security, infrastructure and network security, cryptography, hardware and embedded security, and governance/risk/compliance. Additional sections cover AI security, LLM engineering, AI-assisted incident response, certification roadmaps for multiple vendors, lab-building guides, and training references including cheat sheets and tool indexes. The approach is to provide a taxonomy-based structure where users start with a domain landing page matching their goal, then follow links to specific tools, labs, scripts, and references.

This repository suits anyone building cybersecurity expertise across multiple domains, from those preparing for certifications to practitioners seeking organized reference material and lab resources. It works well as supplemental material alongside formal training, video courses, and books. The breadth of coverage—spanning offensive and defensive security, cloud infrastructure, AI security, and compliance—makes it useful for generalists and specialists alike. Those seeking deep dives into single tools or narrow topics may find the breadth less focused than specialized repositories.

The project maintains active curation of resources across its taxonomy structure. The repository accepts contributions through a defined process documented in its contributing guidelines. Content spans multiple formats including Jupyter Notebooks, scripts, and reference documentation organized to support both learning paths and quick lookups.