Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10M - 100M
Tags:
Synthetic
License:
| license: cc-by-4.0 | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| tags: | |
| - synthetic | |
| pretty_name: Password Weakness and Level Dataset | |
| size_categories: | |
| - 1M<n<10M | |
| # PWLDS (Password Weakness and Level Dataset) | |
| PWLDS is a public dataset consisting of over 4 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. | |
| ## 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) | |
| ``` |