Hack-Box: A Consolidated and Modular Hacking Toolkit for Ethical Hackers

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Farooq Hassian; Ch. Likith; G. Siddharth; S. Gowtham

Hack-Box: A Consolidated and Modular Hacking Toolkit for Ethical Hackers

Authors: Farooq Hassian, Ch. Likith, G. Siddharth, S. Gowtham

Unique Paper ID: 180797
Volume: 12
Issue: 1
PageNo: 2652-2655

Keywords: This paper presents Hack-Box a consolidated and modular hacking toolkit designed for ethical hackers penetration testers and cybersecurity researchers. The toolkit integrates a wide array of tools into a single framework automating repetitive tasks such as scanning exploitation and reporting. By offering a unified user-friendly interface Hack-Box simplifies navigation and reduces the time and complexity associated with security assessments. The modular design ensures flexibility allowing the toolkit to evolve alongside emerging security needs. Experimental results demonstrate the toolkit's efficiency in streamlining penetration testing workflows enabling professionals to focus on deeper analysis rather than repetitive tasks. Future enhancements include the incorporation of machine learning-based vulnerability detection and cloud integration for distributed testing on large-scale networks.

Abstract:
This paper presents Hack-Box, a consolidated and modular hacking toolkit designed for ethical hackers, penetration testers, and cybersecurity researchers. The toolkit integrates a wide array of tools into a single framework, automating repetitive tasks such as scanning, exploitation, and reporting. By offering a unified, user-friendly interface, Hack-Box simplifies navigation and reduces the time and complexity associated with security assessments. The modular design ensures flexibility, allowing the toolkit to evolve alongside emerging security needs. Experimental results demonstrate the toolkit's efficiency in streamlining penetration testing workflows, enabling professionals to focus on deeper analysis rather than repetitive tasks. Future enhancements include the incorporation of machine learning-based vulnerability detection and cloud integration for distributed testing on large-scale networks.

Download article

email to a friend