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Directly uploading files from user-to-cloud ,it becomes a fundamental component of the modern web application. It is based on their efficiency, scalability, reduced server load. By passing traditional web server, this model usually upload files directly to cloud. It also improves performance and introduces new security risks involving temporary credentials, key binding and callback verification. This study presents a structured analysis of these risks by proposing a six-category vulnerability framework based on real-world cloud upload workflows. The large scale evaluation of high traffic website reveals the critical misconfigurations including unlimited credential issuances, long lived upload tokens, weak file validation, unauthorized file access, and callback spoofing. The base paper comprehensively mapped these vulnerability through manual testing, the absence of an automated detection mechanism it remains a significant research gap. Therefore, the future work proposed in this study is the development of an Automated Security Testing Tool for direct cloud uploads. It aims to enable scalable, continuous and systematic detection of misconfigurations and vulnerabilities within cloud integrated web architectures.
Keywords:
Cloud Storage, Direct Upload, Temporary Credentials, Web Security, IAM Misconfiguration, Callback Spoofing, Automated Security Testing
Cite Article:
"A Security Framework for Direct User-to-Cloud Upload Systems with Automation for Vulnerability Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a192-a198, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512025.pdf
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ISSN:
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