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To counter increasing sophistication in cyber threats, this research proposes a lightweight security tool incorporating network scanning, SQL Injection (SQLi) detection, and Cross-Site Scripting (XSS) vulnerability analysis. Conventional security analysis approaches work well but tend to be highly expertise- and time consuming-oriented. The new tool detects vulnerabilities automatically, utilizes Python with Tkinter for intuitive interaction, and incorporates the Nmap utility for effective network scanning. Through integrating these capabilities, the tool enables security experts and beginners alike to perform detailed assessments with enhanced accuracy and less effort. Experimental findings identify the efficiency of the tool in detecting vulnerabilities and enhancing assessment effectiveness. This study emphasizes the importance of integrated security tools in increasing cyber resilience.
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Cite Article:
"STREAMLINED SECURITY: MERGING NETWORK SCANNING, SQL INJECTION AND XSS VULNERABILITY DETECTION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c49-c59, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505207.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator