An Ideation for a New Web Application Vulnerability Scanner and AI/LLM Enhanced Report Maker

Abstract

The surge in the use of web applications has increased the number of vulnerabilities that can be exploited by an attacker, making the security of sensitive information paramount to maintain confidence in the users. Conventional vulnerability scanners, though quite useful, tend to be very generalistic and cannot produce specific or customized concise reports that can quicken the response time. A new web application scanner and report-making application are proposed in this article to address this particular problem. This model not only scans for vulnerabilities but also allows for complex reporting that is appropriate for different audiences within the technical and managerial spheres. These include but are not limited to, scanning large areas for places with highly severe flaws, user-friendly, customizable parameters. This tool also has been designed considering the growing demand which requires producing measure report templates in a format compatible with the country’s industries’ requirements, thus minimizing the compliance and corrective costs. The new system will result in improvement in the overall web application security stress tests increase, reduction in spurious positives and amounts of relevance, and true relevance providing security teams, developers, and project managers comprehend a pragmatic set of tools.

Introduction

Cybersecurity vulnerabilities in organizations or even small web applications can have serious consequences. As web applications grow in complexity, they become prime targets for cyberattacks. To address these issues, the paper introduces a web application vulnerability scanner and report generator, aimed at detecting security flaws and simplifying the reporting process. By identifying vulnerabilities early, organizations can cut down security costs and streamline development aligned with industry standards.

2. Literature Review Highlights

• Visualization & Automation: Tools like V-Digger and visual security dashboards improve vulnerability detection and make assessments more effective.

• Web Vulnerability Scanners: Useful but may miss complex flaws (Alazmi & De Leon); best used with complementary strategies.

• Advanced Threats: Second-order SQL injections, MITM attacks, session hijacking, and adversarial attacks challenge traditional scanners.

• AI and ML Solutions: Research supports using machine learning and reinforcement learning (e.g., RAT, AdvSQLi) to discover and mitigate advanced attacks.

• Penetration Testing (VAPT): Still vital—studies show regular, automated VAPT improves system security.

• JavaScript Security: Tools often fail with dynamic code; reflected XSS and client-side vulnerabilities remain prevalent.

• The future lies in AI-driven adaptive defenses that respond to threats in real-time.

3. System Architecture

The proposed system is a scanner-based application with the following key modules:

• Login: Secure user authentication

• Initiate Scan: Launch vulnerability scans

• View Scan Results: Review scan output after processing

• Generate Report: Export structured vulnerability reports

• Manage Account: Modify user settings and permissions

4. Results & Findings

The scanner tested a web application for multiple vulnerabilities:

• Top Vulnerabilities Detected:

  • SQL Injection – 39.1%

  • Sensitive Data Exposure – 29.3%

  • Cross-Site Scripting (XSS) – 28.3%

• Other issues: CSRF, authentication flaws, and security misconfigurations.

• Severity Levels:

  • Many vulnerabilities were classified as High or Critical, underlining the urgency for remediation.

These findings demonstrate the urgent need for secure coding practices, such as input validation, strong authentication, and access control mechanisms.

Conclusion

Today, with a surge in web application security threats, it is crucial to incorporate vulnerability management techniques that are both efficient and effective. All of these are advanced assistance systems for organizations that want to improve their security posture, extend their capabilities to the internet, combine detection algorithms with advanced capabilities, and provide customizable user-friendly reporting systems. It enables security teams, developers, and management to have consistent actionable insight which is available in a prioritized, ready for compliance, and understandable manner, improving how fast threats can be found, reported, and fixed. However, factors such as frequent updates, potential false alerts, and initial configuration can be considered limitations but can be dealt with if appropriate planning and assistance are in place. The scalability of the tool, its compatibility with compliance requirements as well as its capacity to integrate with various platforms conceptualizes the versatility of this tool to suit different organizations regardless of their size or security needs. To conclude, this new web application scanner and report maker is a feasible, reliable, and cost-effective solution meant to enhance web application security in the current era environment. It speeds how fast response actions can be carried out on a threat, lightens the load for security teams thus saving time and effort which, in turn, boosts compliance actions which make web applications safer and stronger than before.

References

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Copyright

Copyright © 2025 Yash R. Deshmukh, Aarti A. Korhale, Yashwardhan V. Bhosale, Sharmila K. Wagh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.