---
license: apache-2.0
pretty_name: CrackStation Password List
tags:
- wordlist
- crackstation
- password
- dictionary
- password-cracking
language:
- en
annotations_creators: []
source_datasets: []
task_categories:
- text-generation
- text2text-generation
- sentence-similarity
- fill-mask
- feature-extraction
- token-classification
---

# CrackStation-password-list

## Overview

This dataset is based on the comprehensive [CrackStation Password Cracking Dictionary](https://crackstation.net/crackstation-wordlist-password-cracking-dictionary.htm), a widely recognized resource in password security research.

### Key Features

- **Comprehensive Collection**: Aggregates publicly available wordlists, password leaks, and dictionaries from various sources.
- **Diverse Origins**: Includes entries from Wikipedia dumps (2010, all languages), texts from [Project Gutenberg](https://www.gutenberg.org), and lesser-known database breaches shared in underground communities.
- **Optimized Format**: The data is stored as plain text, alphabetically sorted without case sensitivity, and uses newline (`\n`) as the delimiter.

### Usage
- Test hashes with this dataset via the [CrackStation hash cracker](https://crackstation.net).
- Generate and verify hash values using tools like [Defuse Checksum](https://defuse.ca/checksums.htm).

The dataset has proven highly effective in cracking real-world password leaks such as [LinkedIn](https://defuse.ca/blog/cracking-linkedin-hashes-with-crackstation) and [eHarmony](https://defuse.ca/blog/cracking-eharmonys-unsalted-hashes-with-crackstation), highlighting its utility in password analysis and research.

## Licensing and Sharing

This dataset is shared under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). Redistribution and modifications are allowed with proper attribution. Ensure ethical usage and comply with local laws.

## Source

- [CrackStation's Password Cracking Dictionary](https://crackstation.net/crackstation-wordlist-password-cracking-dictionary.htm)

## Citation

If you use this dataset in your research, cite CrackStation as the original source and include a link to this Hugging Face repository for transparency.