[ AutoFiC ] Security Patch 2025-07-30

[seoonju]

🔧 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

Detected by: SEMGREP

File	Total Issues
src/users/UserController.js	3

1. src/users/UserController.js

🧩 SAST Analysis Summary

Line	Type	Level	CWE	Ref
9	Cross-Site-Scripting (XSS)	⚠️ WARNING	CWE-79	🔗
20	Cross-Site-Scripting (XSS)	⚠️ WARNING	CWE-79	🔗
40	Cross-Site-Scripting (XSS)	⚠️ WARNING	CWE-79	🔗

📝 LLM Analysis

🔸 Vulnerability Description

The code directly writes user data to the HTTP response using res.send() and res.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() with res.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.

[seoonju]

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.
AutoFiC analyzes public repositories using SAST tools to detect potential vulnerabilities
and automatically generates code fixes through an LLM-based model. 🛡️🤖

During the analysis of your repository (programming-quotes-api), our system identified certain security vulnerabilities.
We have submitted a Pull Request that includes automatically generated patches via AutoFiC.
We would be sincerely grateful if you could take a moment to review and consider approving the PR. 🙏

Your approval would not only improve the security of your project
but also contribute meaningfully to our academic research and development efforts.

If you have any questions or need further information, feel free to reach out to us:
📧 autofic.whs@gmail.com

Thank you very much for your time and consideration.

Best regards,
Seonju Park