Analysis updated 2026-07-03 · repo last pushed 2026-07-03
Learn how real security vulnerabilities work by studying proof-of-concept code and writeups.
Practice bug hunting skills by adapting proof-of-concept demos to your own test environment.
Understand common vulnerability patterns across popular software like Docker, Redis, and VLC.
Use the writeups as reference material when studying for cybersecurity certifications.
| bikini/exploitarium | galaxy-dawn/claude-scholar | disler/claude-code-hooks-mastery | |
|---|---|---|---|
| Stars | 3,596 | 3,661 | 3,664 |
| Language | Python | Python | Python |
| Last pushed | 2026-07-03 | — | — |
| Maintenance | Active | — | — |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 2/5 | 3/5 |
| Audience | developer | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
Each proof of concept requires installing the specific target software it targets and setting up a safe isolated environment to test the vulnerability.
Exploitarium is a collection of proof-of-concept demonstrations for security vulnerabilities found in popular software. The author discovered these flaws (many through automated testing workflows) and published them to attract more people into cybersecurity research. Each folder contains a writeup and code showing how a specific bug works, things like remote code execution in Redis, privilege escalation in Docker, or URL leakage in Firefox. The author explicitly states this is for educational purposes and asks that nobody use the material maliciously. The repo covers a wide range of targets: developer tools like curl and nghttp2, media software like FFmpeg and VLC, remote desktop apps like AnyDesk and RustDesk, web platforms like Discourse and Nextcloud, image processing libraries like ImageMagick and Pillow, and infrastructure components like Docker and OpenVPN. Each entry is a self-contained folder with documentation explaining the vulnerability and a working proof of concept. Some entries were consolidated from standalone repos that previously existed separately. The audience is aspiring security researchers and people curious about how vulnerabilities work. If you're learning about bug hunting or want to understand what a real exploit looks like, these writeups serve as concrete examples. The author notes that some self-described researchers struggle to adapt the proofs to their own environments, so they plan to broaden the examples to be more accessible. What's notable is the author's use of AI in their workflow. They used a large language model to automate their fuzzing, a technique for finding bugs by feeding software unexpected inputs, but emphasize that you don't need the most expensive model to do this effectively. The proof-of-concept code itself was hand-typed, though AI helped with RustDesk work (a language the author was less familiar with) and generated all the README writeups, which they reviewed for accuracy.
A collection of proof-of-concept demonstrations for real security vulnerabilities in popular software like Docker, Redis, Firefox, and FFmpeg. Each entry includes a writeup and working code showing how the bug works, intended for people learning about cybersecurity and bug hunting.
Mainly Python. The stack also includes Python, FFmpeg, Docker.
Active — commit in last 30 days (last push 2026-07-03).
No license information is provided in the repository, so usage rights are unclear by default, the author publishes the material for educational purposes only.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.