[Autofic] Security Patch 2025-07-23

[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: SEMGREP

File	Total Issues
express-session/app-old.js	7
express-session/app.js	6

1. express-session/app-old.js

🧩 SAST Analysis Summary

Line	Type	Level	CWE	Ref
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
22	Hard-coded Secrets	⚠️ WARNING	CWE-798	🔗

📝 LLM Analysis

🔸 Vulnerability Description

The code contains hard-coded credentials, specifically the session secret, which poses a security risk. Additionally, the session middleware settings are not fully configured, lacking attributes such as domain, expires, httpOnly, path, secure, and a custom session cookie name.

🔸 Recommended Fix

Use environment variables for sensitive information like the session secret. Configure the session middleware with appropriate security settings.

🔸 Additional Notes

Ensure that the SESSION_SECRET environment variable is set in the production environment to maintain security. Adjust the domain attribute in the session configuration to match your application's domain.

2. express-session/app.js

🧩 SAST Analysis Summary

Line	Type	Level	CWE	Ref
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗
16~23	Cryptographic Issues	⚠️ WARNING	CWE-522	🔗

📝 LLM Analysis

🔸 Vulnerability Description

The session middleware settings are not configured securely. Specifically, the domain, expires, httpOnly, path, secure, and the session cookie name are not set, which can lead to security vulnerabilities such as session hijacking and cross-site scripting attacks.

🔸 Recommended Fix

Configure the session middleware with secure settings by setting domain, expires, httpOnly, path, secure, and change the default session cookie name.

🔸 Additional Notes

• The secure option in the cookie settings should be set to true when deploying in a production environment with HTTPS to ensure cookies are only sent over secure connections.
  • The domain and path should be set according to the application's requirements and deployment environment. Adjust these settings as necessary for your specific use case.

🛠 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 (node-direct), 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