[ AutoFiC ] Security Patch 2025-07-30

[eunsol1530]

🔧 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: SNYKCODE

File	Total Issues
WebAppServer/index.js	8

1. WebAppServer/index.js

🧩 SAST Analysis Summary

Line	Type	Level
4	DisablePoweredBy	⚠️ WARNING
76~101	NoRateLimitingForExpensiveWebOperation	⚠️ WARNING
126	NoRateLimitingForLogin	⚠️ WARNING
69	PT	🛑 ERROR
86	PT	🛑 ERROR
95	PT	🛑 ERROR
35	Sqli	🛑 ERROR
99	XSS	⚠️ WARNING

📝 LLM Analysis

🔸 Vulnerability Description

The application is vulnerable to SQL Injection, Cross-Site Scripting (XSS), Path Traversal, and lacks rate limiting for login and file operations. Additionally, it exposes the "X-Powered-By" header, which can reveal information about the server.

🔸 Recommended Fix

• Use parameterized queries to prevent SQL Injection.
  • Sanitize and validate inputs to prevent XSS and Path Traversal.
  • Implement rate limiting for login and file operations.
  • Use Helmet middleware to disable the "X-Powered-By" header.

🔸 Additional Notes

• The use of express-rate-limit helps mitigate brute force attacks by limiting the number of requests.
  • The helmet middleware is used to enhance security by setting various HTTP headers.
  • Input sanitization is performed to prevent Path Traversal and XSS vulnerabilities.
  • SQL queries are parameterized to prevent SQL Injection.

🛠 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.

[eunsol1530]

Dear Esteemed Maintainer, 👩‍💻👨‍💻

My name is Eunsol Kim, a student at MyongJi University currently studying information security and software development. 🇰🇷

We have developed a security automation tool called AutoFiC, which performs static analysis on codebases using advanced SAST tools and automatically generates fix suggestions via a Large Language Model (LLM). 🛡️🤖

During the analysis of your repository (IP-Camera), AutoFiC identified potential security issues and has generated a corresponding patch. We have submitted a Pull Request (PR) containing this fix.

We would be sincerely grateful if you could take a moment to review and consider merging the PR. 🙏
Your approval would not only enhance the security of your project, but also contribute to ongoing academic research on automated vulnerability mitigation.

If you have any questions or would like to learn more about AutoFiC, feel free to reach out to us:
📧 [email protected]

Thank you very much for your time and consideration.

Warm regards,
Eunsol Kim

AutoFiC – Automated Security Patch Generation Tool
Department of Computer Engineering, Department of Computer Information and Communication Engineering
Myongji University