Uncovering Sensitive Data Exposure: Analyzing JavaScript Files and GitHub Repositories
Title: Uncovering Sensitive Data Exposure: Analyzing JavaScript Files and GitHub Repositories
Permalink: uncovering-sensitive-data-exposure-analyzing-javascript-files-github-repositories
Description: This research explores how DorkSearcher automates bug hunting by detecting sensitive data in JavaScript files and GitHub repositories, enhancing security practices.
Focus Keywords: API Keys, Bug-Hunting, Sensitive Data, high-impact factor journal, journal with a DOI
International Journal of Engineering and Techniques – Volume 10 Issue 2, March 2024
ISSN: 2395-1303
Mehank Prakash Kadu1, Kusumlata Dhiman2
1Computer Science and Engineering, Parul University/PIT, Vadodara. Email: m3hank1337@gmail.com
2Computer Science and Engineering, Parul University/PIT, Vadodara. Email: kusumdhiman212@gmail.com
Abstract
DorkSearcher is a tool that streamlines bug hunting by efficiently searching for sensitive information like API keys and tokens in JavaScript files and GitHub repositories. It uses multithreading and advanced search techniques to automate vulnerability detection, enhancing security practices. With a user-friendly interface and customizable search options, DorkSearcher empowers teams to proactively address security risks and strengthen software application security.
Keywords
Automation, Tokens, API Keys, JavaScript Files, Multithreading, Bug-Hunting, Github, Sensitive Data
How to Cite
Mehank Prakash Kadu, Kusumlata Dhiman, “Uncovering Sensitive Data Exposure: Analyzing JavaScript Files and GitHub Repositories,” International Journal of Engineering and Techniques, Volume 10, Issue 2, March 2024. ISSN 2395-1303
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