[ AutoFiC ] Security Patch 2025-07-30#79
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Dear programming-quotes-api Developer, 👩💻👨💻 My name is Seonju Park, a student majoring in Electronics Engineering at the Chungbuk National University 🇰🇷, with a strong interest in information security and software development. 🔐💻 We have developed a security tool called AutoFiC – an Automated Security Patch Generation Tool. During the analysis of your repository (programming-quotes-api), our system identified certain security vulnerabilities. Your approval would not only improve the security of your project If you have any questions or need further information, feel free to reach out to us: Thank you very much for your time and consideration. Best regards, |
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🔧 About This Pull Request
This patch was automatically created by AutoFiC ,
an open-source framework that combines static analysis tools with AI-driven remediation.
Using Semgrep, CodeQL, and Snyk Code, AutoFiC detected potential security flaws and applied verified fixes.
Each patch includes contextual explanations powered by a large language model to support review and decision-making.
🔐 Summary of Security Fixes
Overview
src/users/UserController.js1.
src/users/UserController.js🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code directly writes user data to the HTTP response using
res.send()andres.json(), which can lead to Cross-Site Scripting (XSS) vulnerabilities if the user data is not properly sanitized or escaped.🔸 Recommended Fix
Ensure that any user data sent in the response is properly sanitized or escaped to prevent XSS. In this context, using
res.json()is generally safe for JSON data, but ensure that any HTML content is properly escaped if rendered in a web page.🔸 Additional Notes
The changes involve replacing
res.send()withres.json()for sending JSON data, which is a safer method for preventing XSS in JSON responses. This change assumes that the data being sent is JSON and not HTML content. If any HTML content is being sent, additional escaping would be necessary.🛠 Fix Summary
All identified vulnerabilities have been remediated following security best practices such as parameterized queries and proper input validation. Please refer to the diff tab for detailed code changes.
If you have questions or feedback regarding this automated patch, feel free to reach out via AutoFiC GitHub.