BoostSecurityDB: a new vulnerability scanning tool for online SQL databases

Year 2026, Volume: 8 Issue: 2, 53 - 69, 15.01.2026

Mohamed Elkamel Hamdane , Nabil Messaoudi , Marwa Daoud , Saad Harous

https://doi.org/10.53508/ijiam.1602248

Abstract

The rapid growth of digital information has exposed critical systems—including military, governmental, financial, and healthcare infrastructures—to escalating cyber threats, particularly database breaches. To address this challenge, we propose BoostSecurityDB, an integrated cybersecurity tool designed to detect and mitigate vulnerabilities that compromise database security. Our contribution is to integrate automated scanning technologies such as SQLMap and RapidScan into a unified process. Experimental evaluations demonstrate the effectiveness of BoostSecurityDB in identifying high-risk vulnerabilities, streamlined remediation workflows, and reducing manual analysis overhead. The results highlight its potential as a scalable solution for safeguarding sensitive data against evolving cyberattacks.

Keywords

cybersecurity , vulnerability , database security , Python

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