Secure coding for web applications: Frameworks, challenges, and the role of LLMs
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Abstract (arXiv)
Secure coding is a critical yet often overlooked practice in software development. Despite extensive awareness efforts, real-world adoption remains inconsistent due to organizational, educational, and technical barriers. This paper provides a comprehensive review of secure coding practices across major frameworks and domains, including web development, DevSecOps, and cloud security. It introduces a structured framework comparison and categorizes threats aligned with the OWASP Top 10. Additionally, we explore the rising role of Large Language Models (LLMs) in evaluating and recommending secure code, presenting a reproducible case study across four major vulnerability types. This paper offers practical insights for researchers, developers, and educators on integrating secure coding into real-world development processes.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Jul 2025.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025LLM-Driven Adaptive 6G-Ready Wireless Body Area Networks: Survey and Frameworkcited by 0
- 2025LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipelinecited by 0
- 2026The Illusion of Secure LLM Code: Closing the Security Gap via Iterative Repromptingcited by 0
- 2026The Illusion of Secure LLM Code: Closing the Security Gap via Iterative Reprompting26 Jul 2026
- 2025LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipeline26 Nov 2025
- 2025LLM-Driven Adaptive 6G-Ready Wireless Body Area Networks: Survey and Framework12 Aug 2025