https://github.com/sr-lab/pin-bank

Numeric PINs counted and sorted by frequency as they occur in the RockYou dataset.
https://github.com/sr-lab/pin-bank

analysis frequency list password pin security

Last synced: 4 months ago
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Numeric PINs counted and sorted by frequency as they occur in the RockYou dataset.

• Host: GitHub
• URL: https://github.com/sr-lab/pin-bank
• Owner: sr-lab
• License: mit
• Created: 2018-10-25T17:03:13.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-10-29T21:00:08.000Z (over 7 years ago)
• Last Synced: 2025-11-28T07:16:47.600Z (7 months ago)
• Topics: analysis, frequency, list, password, pin, security
• Size: 13.3 MB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# RockYou PIN Bank

Numeric PINs counted and sorted by frequency as they occur in the RockYou dataset.

## Overview

This repository contains a bank of consecutive runs of 1, 2, 3, 4, 5 and 6 numbers captured from the RockYou dataset which have potential use in approximating the popularity of PIN numbers of these lengths. For example, the cumulative frequency chart when we take each 4-digit PIN in ascending order (that is, from `0000` to `9999`) looks like this:

![Cumulative frequency diagram of PINs when taken in ascending order.](charts/cumfreq_asc.svg)

Whereas, if we take each PIN when sorted by frequency (most frequent first) we get the following:

![Cumulative frequency diagram of PINs when taken most frequent first.](charts/cumfreq_optimal.svg)

This data was harvested using the PIN harvester utility bundled with [JumpMapper](https://github.com/sr-lab/jump-mapper).

## Application

When it comes to PIN guessing/brute-forcing attacks this data could be potentially useful, particularly when evaluating the resilience of systems to these attacks.

## Acknowledgements

This work was inspired by the [DataGenetics article here](http://www.datagenetics.com/blog/september32012/) and [this work](http://jemore.free.fr/wordpress/?p=73&t=most-common-pin-numbers-complete-list), which reverse-engineers relative PIN frequency from the image provided in the first article.