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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

Detected by: SNYKCODE

File Total Issues
build/readpack.js 1
build/tplrender.js 2

1. build/readpack.js

🧩 SAST Analysis Summary

Line Type Level
15 CodeInjection ⚠️ WARNING

📝 LLM Analysis

🔸 Vulnerability Description

The code uses eval to execute a dynamically constructed JavaScript expression based on user input. This can lead to code injection if the input is not properly sanitized.

🔸 Recommended Fix

Avoid using eval for executing dynamic code. Instead, safely access object properties using bracket notation.

🔸 Additional Notes

By replacing eval with bracket notation, we eliminate the risk of executing arbitrary code. This change maintains the original functionality of accessing properties from the package.json file based on user input.

2. build/tplrender.js

🧩 SAST Analysis Summary

Line Type Level
15 CodeInjection ⚠️ WARNING
12 PT ⚠️ WARNING

📝 LLM Analysis

🔸 Vulnerability Description

The code contains a Code Injection vulnerability due to the use of eval with unsanitized input from a template string. Additionally, there is a Path Traversal vulnerability because the file path is directly taken from command line arguments without validation.

🔸 Recommended Fix

  • Avoid using eval by replacing it with a safer alternative for template processing.
    • Validate and sanitize the file path to prevent path traversal attacks.

🔸 Additional Notes

  • The use of new Function is a safer alternative to eval for processing template literals, as it limits the scope of execution.
    • It is crucial to further sanitize and validate the input path (args[0]) to prevent path traversal, potentially using libraries like path to resolve and normalize paths securely.

🛠 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.

@yjchoe818
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Author

Dear Esteemed Maintainer, 👩‍💻👨‍💻

My name is Yunjeong Choe, a student at Sungshin Women's University currently studying Convergence Security Engineering.
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,
Yunjeong Choe

AutoFiC – Automated Security Patch Generation Tool
Department of Future Mobility

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