Hugging Face's logo

Datasets:
InfinitodeLTD
/
PWLDS

Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10M - 100M
Tags:
Synthetic
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
1
PWLDS / README.md
JohanBeytell's picture
JohanBeytell
Update README.md
c5169e2 verified
preview code
|
raw
history blame contribute delete
2.52 kB
metadata
license: cc-by-4.0
task_categories:
  - text-classification
language:
  - en
tags:
  - synthetic
pretty_name: Password Weakness and Level Dataset
size_categories:
  - 10M<n<100M

PWLDS (Password Weakness and Level Dataset)

PWLDS is a public dataset of over 10 million passwords with varying assigned strength levels. The dataset was designed to help researchers, security professionals, and developers analyze password strength and build more secure systems. The dataset contains 5 classes:

  • very_weak: Represented by 0 in the dataset
  • weak: Represented by 1 in the dataset
  • average: Represented by 2 in the dataset
  • strong: Represented by 3 in the dataset
  • very_strong: Represented by 4 in the dataset

For strength level 4, we used Python's secrets module to generate cryptographically secure passwords, ensuring the robustness and security of these passwords.

Changelog:

  • v1.1: Doubled the amount of passwords. Now, there are 10.000.471 unique passwords.
  • v1.0: 5 Million unique passwords in 5 classes.

Intended Uses

  • Security Analysis: PWLDS can be used to study common password patterns and weaknesses, helping to identify vulnerabilities and improve password policies.
  • Machine Learning: The dataset can be used to train machine learning models for password strength estimation or prediction.
  • Educational Purposes: This dataset is valuable for educational projects and demonstrations related to cybersecurity and data science.
  • Benchmarking: PWLDS provides a large, labeled dataset for benchmarking password strength estimation algorithms and tools.

Limitations

  • No Real-World Data: The dataset is synthetically generated and does not contain real user passwords. While this avoids privacy concerns, it may not fully represent real-world password distribution and usage patterns.
  • Bias in Password Generation: Since passwords are generated based on predefined rules and patterns, there may be biases that do not reflect the diversity of passwords used in real-life scenarios.
  • Exclusivity to English Words: The weak and very weak password categories rely heavily on English words, which may not be representative of non-English-speaking populations.

Citation

When using this dataset, please cite as follows:

Dataset Title: Password Weakness and Level Dataset (PWLDS)
Author: Infinitode Pty Ltd
Date: 2024
Source: https://github.com/Infinitode/PWLDS
License: Creative Commons Attribution 4.0 International (CC BY 4.0)