explaingit

bikini/exploitarium

Analysis updated 2026-07-03 · repo last pushed 2026-07-03

⭐ Rising3,596PythonAudience · developerComplexity · 3/5ActiveSetup · moderate

TLDR

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.

Mindmap

mindmap
  root((repo))
    What it does
      Security vulnerability demos
      Proof-of-concept code
      Educational writeups
    Tech stack
      Python
      Various target software
      AI-assisted docs
    Use cases
      Learn bug hunting
      Study exploit mechanics
      Understand vulnerabilities
    Audience
      Aspiring security researchers
      Bug hunting learners
      Cybersecurity newcomers
    Coverage
      Developer tools
      Media software
      Infrastructure
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What do people build with it?

USE CASE 1

Learn how real security vulnerabilities work by studying proof-of-concept code and writeups.

USE CASE 2

Practice bug hunting skills by adapting proof-of-concept demos to your own test environment.

USE CASE 3

Understand common vulnerability patterns across popular software like Docker, Redis, and VLC.

USE CASE 4

Use the writeups as reference material when studying for cybersecurity certifications.

What is it built with?

PythonFFmpegDockerRedisImageMagick

How does it compare?

bikini/exploitariumgalaxy-dawn/claude-scholardisler/claude-code-hooks-mastery
Stars3,5963,6613,664
LanguagePythonPythonPython
Last pushed2026-07-03
MaintenanceActive
Setup difficultymoderatemoderatemoderate
Complexity3/52/53/5
Audiencedeveloperresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Each proof of concept requires installing the specific target software it targets and setting up a safe isolated environment to test the vulnerability.

No license information is provided in the repository, so usage rights are unclear by default, the author publishes the material for educational purposes only.

In plain English

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.

Copy-paste prompts

Prompt 1
I want to understand how the Redis remote code execution vulnerability in Exploitarium works. Walk me through the proof-of-concept code step by step and explain each part in simple terms.
Prompt 2
Help me set up a safe local testing environment so I can run the Docker privilege escalation proof of concept from Exploitarium without damaging my system.
Prompt 3
Pick three vulnerabilities from Exploitarium that a beginner security researcher should study first, and explain what makes each one important to learn.
Prompt 4
I read the Exploitarium writeup on the ImageMagick vulnerability. Help me write a similar proof-of-concept for a different image processing library to practice my bug hunting skills.
Prompt 5
Explain the fuzzing workflow the Exploitarium author used with AI to discover vulnerabilities, and help me set up a similar automated testing approach for an open source project.

Frequently asked questions

What is exploitarium?

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.

What language is exploitarium written in?

Mainly Python. The stack also includes Python, FFmpeg, Docker.

Is exploitarium actively maintained?

Active — commit in last 30 days (last push 2026-07-03).

What license does exploitarium use?

No license information is provided in the repository, so usage rights are unclear by default, the author publishes the material for educational purposes only.

How hard is exploitarium to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is exploitarium for?

Mainly developer.

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