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Paper ID:IJSREM64449

NEXUS: An Orchestrator-Driven Automated Pentesting Platform for Modern API Architectures and False Positive Reduction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64449

Volume:

10 |

6 |

Jun 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64449

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Saravana Kumar M

Saravana Kumar M

Department of Cyber Security

Dr. M.G.R. Educational and Research Institute

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RM

R. MARIMUTHU

Centre for Cyber Forensics and Information Security

University of Madras

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Abstract

Contemporary enterprise software has largely adopted API-first architectural paradigms, exposing substantial attack surfaces through diverse communication protocols such as REST, GraphQL, gRPC, SOAP, and WebSockets. Existing Dynamic Application Security Testing (DAST) toolsets remain inadequately equipped for this complexity, forcing security practitioners to manually orchestrate dozens of fragmented utilities while contending with high false-positive rates and limited coverage of logic-layer vulnerabilities. This paper presents NEXUS, a unified, full-stack automated API security testing platform that consolidates 54 distinct open-source and custom security modules beneath a centralized orchestration layer. NEXUS targets the complete OWASP API Security Top 10 (2023) threat taxonomy by combining industry-standard DAST engines with purpose-built TypeScript attack runners. A dynamic Payload Selection Agent automatically maps community-verified attack strings from the PayloadsAllTheThings repository, while a novel True Positive Verification Engine (TPVE) autonomously replays each discovered finding via targeted HTTP probes, assigns a deterministic confidence score, and eliminates spurious alerts. Verified findings are normalized, enriched with CVSS and CWE metadata, and streamed to a real-time WebSocket dashboard. Results demonstrate an 85% reduction in false positives and a 91% OWASP API Top 10 detection coverage, establishing NEXUS as a scalable, reliable approach to continuous API security testing in modern CI/CD pipelines.

KEYWORDS

API Security Penetration Testing DAST Vulnerability Orchestration False Positive Reduction OWASP API Top 10 True Positive Verification Engine (TPVE).

Cite This Article

Saravana Kumar M, R. MARIMUTHU, "NEXUS: An Orchestrator-Driven Automated Pentesting Platform for Modern API Architectures and False Positive Reduction," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-6, Jun 2026. https://doi.org/10.55041/IJSREM64449

Full Article/Conclusion

This paper presented NEXUS, an orchestrator-driven automated API security testing platform that addresses the three most pressing operational challenges in contemporary API security assessment: tool fragmentation, authorization-logic vulnerability coverage, and false-positive overload. By unifying 54 security modules under a bounded concurrency orchestrator, deploying a dynamic Payload Selection Agent, and introducing the True Positive Verification Engine, NEXUS achieves 91% OWASP API Top 10 detection coverage alongside an 85% false-positive reduction relative to conventional DAST baselines. The system's CI/CD-native export capabilities and real-time WebSocket dashboard position it as a practical tool for integration into modern DevSecOps workflows, enabling security assurance at the velocity of continuous deployment. Future work will address the remaining coverage gap for semantic business-flow violations through LLM-assisted workflow specification generation, and will extend the TPVE with out-of-band DNS callback infrastructure to improve SSRF confirmation fidelity. Additional evaluation across a broader corpus of real-world API targets in production-representative conditions is also planned.

References

[1] Fielding, R. T., & Taylor, R. N. (2002). Principled design of the modern Web architecture. ACM Transactions on Internet Technology, 2(2), 115-150. [2] OWASP Foundation. (2023). OWASP API Security Top 10 2023. Retrieved from https://owasp.org/API-Security/ [3] Hossen, M. I., Bhuiyan, M. F. R., & Hossain, M. A. (2022). A survey of false-positive reduction techniques in DAST tools. Journal of Cybersecurity and Privacy, 2(3), 512-531. [4] Doupé, A., Cova, M., & Vigna, G. (2010). Why Johnny can't pentest: An analysis of black-box web vulnerability scanners. In Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA) (pp. 111-131). Springer. [5] Atlidakis, V., Godefroid, P., & Polishchuk, M. (2019). RESTler: Stateful REST API fuzzing. In Proceedings of the 41st International Conference on Software Engineering (ICSE) (pp. 748-758). IEEE. [6] Wittern, E., Cha, A., & Laredo, J. A. (2018). Generating GraphQL-wrappers for REST(-like) APIs. In Web Engineering (ICWE) (pp. 65-83). Springer. [7] Pellegrino, G., & Balzarotti, D. (2014). Toward black-box detection of logic flaws in web applications. In Proceedings of the 21st Annual Network and Distributed System Security Symposium (NDSS). [8] Fonseca, J., Vieira, M., & Madeira, H. (2007). Testing and comparing web vulnerability scanning tools for SQL injection and XSS attacks. In 13th Pacific Rim International Symposium on Dependable Computing (PRDC) (pp. 365-372). IEEE. [9] Faraday Security. (2023). Faraday: Open-source vulnerability management platform. Retrieved from https://github.com/infobyte/faraday [10] Swisskyrepo. (2024). PayloadsAllTheThings: A list of useful payloads and bypass for Web Application Security. GitHub Repository. Retrieved from https://github.com/swisskyrepo/PayloadsAllTheThings

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Publication Date

6/2/2026

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Review Rounds: 2

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