doisargis-eng/i-cracked-my-own-password-in-seconds-with-hashcat-gpu-

Analysis updated 2026-06-24

★ 45Audience · generalComplexity · 1/5Setup · moderate

Mindmap

mindmap
  root((hashcat-demo))
    Inputs
      MD5 hash
      rockyou.txt
      GPU
    Outputs
      Cracked password
      Timing result
      Demo GIF
    Use Cases
      Security class demo
      Password hygiene talk
      Hashcat first run
    Tech Stack
      Hashcat
      GPU
      Shell

mindmap root((hashcat-demo)) Inputs MD5 hash rockyou.txt GPU Outputs Cracked password Timing result Demo GIF Use Cases Security class demo Password hygiene talk Hashcat first run Tech Stack Hashcat GPU Shell

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What do people build with it?

USE CASE 1

Show a classroom how MD5 plus a leaked wordlist falls in under a second on consumer GPU hardware.

USE CASE 2

Reproduce the Hashcat command as a first run of the tool on a self-owned hash.

USE CASE 3

Use the performance table and safety section as slides in a password hygiene talk.

What is it built with?

HashcatShellGPU

How does it compare?

	doisargis-eng/i-cracked-my-own-password-in-seconds-with-hashcat-gpu-	egocs-400k/dataset	hailoc12/ai_native_company
Stars	45	45	46
Language	—	Python	Shell
Setup difficulty	moderate	moderate	easy
Complexity	1/5	4/5	1/5
Audience	general	researcher	pm founder

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

How do you get it running?

Difficulty · moderate Time to first run · 30min

Needs Hashcat installed plus a GPU with working OpenCL or CUDA drivers, and rockyou.txt downloaded separately.

In plain English

This repository is a small demo project that shows how Hashcat, a password recovery tool, can crack a weak password in under a second when it runs on a GPU. The README is written as a short walkthrough with a banner, a link to a download folder on Mediafire, and a YouTube video. The author says the project is for educational purposes only. The README frames it as an example attack against a hash the author owns. The example hash is the MD5 value of the word password, and the wordlist used is rockyou.txt, a well known leaked password list. The cracking step is a single Hashcat command with mode 0 for MD5 and attack mode 0 for a straight dictionary attack. The result section shows the recovered password and a time of less than one second. A short list explains what the reader should take away. It covers how hashing works at a high level, why passwords get cracked quickly, the speed gap between CPU and GPU, the basic attack workflow, and steps for protecting your own accounts. A small performance table puts CPU speed at around 50 megahashes per second and GPU at roughly 10,000 plus megahashes per second. The safety section suggests using passwords of 12 characters or more, avoiding common words, enabling two factor authentication, using a password manager, and storing passwords with bcrypt or argon2 on the server side. The folder structure shown in the README lists hashes, wordlists, and scripts directories plus a demo GIF. The README ends with a disclaimer that the project is for education only and should not be used without permission.

Copy-paste prompts

Prompt 1

Walk me through running the Hashcat command from this repo on my own GPU and capture the timing result.

Prompt 2

Adapt the demo to crack a bcrypt hash instead of MD5 and explain why it takes much longer.

Prompt 3

Turn the safety section of this repo into a one-page checklist for non technical users.

Prompt 4

Write a short blog post using the CPU vs GPU performance numbers from this repo to argue for argon2 server side hashing.

Frequently asked questions

What is i-cracked-my-own-password-in-seconds-with-hashcat-gpu-?

A short educational walkthrough that cracks an MD5 of the word password in under a second using Hashcat on a GPU with the rockyou wordlist.

How hard is i-cracked-my-own-password-in-seconds-with-hashcat-gpu- to set up?

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

Who is i-cracked-my-own-password-in-seconds-with-hashcat-gpu- for?

Mainly general.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.