Canstralian/pentesting_dataset

Dataset Card for Penetration Testing Dataset

This dataset card aims to provide essential information about the Penetration Testing Dataset, which includes various resources and scripts useful for penetration testing and cybersecurity research.

Dataset Details

Dataset Description

The Penetration Testing Dataset is a collection of scripts, tools, and vulnerability data designed for cybersecurity professionals to facilitate penetration testing tasks. This dataset aims to help users generate packet capture files, validate API keys, and analyze vulnerabilities effectively.

• Curated by: Stephen de Jager
• Funded by: [More Information Needed]
• Shared by: [More Information Needed]
• Language(s) (NLP): English
• License: MIT

Dataset Sources [optional]

• Repository: GitHub Repository Link
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

This dataset is intended for use in penetration testing, cybersecurity training, and research. Users can leverage the included scripts to automate tasks, validate keys, and generate realistic network traffic for testing purposes.

Out-of-Scope Use

This dataset should not be used for malicious purposes or unauthorized penetration testing. It is also not suitable for non-cybersecurity-related applications.

Dataset Structure

The dataset consists of the following files:

• PcapGenerator.py: Script for generating packet capture files.
• api_key_checker.py: Script for validating API keys.
• requirements.txt: List of dependencies required for running the scripts.
• Vulnerability data files containing structured information about various vulnerabilities.

Dataset Creation

Curation Rationale

The dataset was created to provide a comprehensive resource for professionals and learners in the field of cybersecurity, particularly focusing on penetration testing methodologies.

Source Data

Data Collection and Processing

The dataset combines open-source tools and vulnerability data from publicly available resources. Scripts were developed using Python, with libraries like Dask and Croissant employed for data processing tasks.

Who are the source data producers?

The scripts and dataset were developed by Stephen de Jager, with contributions from various open-source resources.

Annotations [optional]

No external annotations are included in this dataset.

Annotation process

N/A

Who are the annotators?

N/A

Personal and Sensitive Information

The dataset does not contain any personal or sensitive information. All data included is anonymized and publicly accessible.

Bias, Risks, and Limitations

As with any dataset, users should be aware of potential biases in the underlying tools and libraries used for data collection and processing. The dataset may not cover all aspects of penetration testing, and results may vary based on the environment in which the tools are used.

Recommendations

Users are advised to:

• Review the documentation and scripts thoroughly before use.
• Ensure that all testing is conducted ethically and with proper authorization.
• Acknowledge the limitations of the dataset when conducting research or analysis.

Citation [optional]

If you use this dataset in your work, please cite it as follows:

BibTeX:

@misc{pentesting_dataset,
  author = {Stephen de Jager},
  title = {Penetration Testing Dataset},
  year = {2024},
  url = {https://github.com/Canstralian/pentesting_dataset}
}