mikeal
[Autofic] Security Patch 2025-07-24
🔧 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 |
|---|---|
html/js/ext/futon.browse.js |
1 |
1. html/js/ext/futon.browse.js
🧩 SAST Analysis Summary
| Line | Type | Level | CWE | Ref |
|---|---|---|---|---|
| 673~675 | Cross-Site-Scripting (XSS) | ⚠️ WARNING | CWE-79 | 🔗 |
📝 LLM Analysis
🔸 Vulnerability Description
The code is vulnerable to Cross-Site Scripting (XSS) because user-controlled data is directly inserted into HTML without proper sanitization. Specifically, the docId is used in constructing HTML content, which could be manipulated by an attacker to inject malicious scripts.
🔸 Recommended Fix
Properly escape or sanitize the docId before inserting it into the HTML to prevent XSS attacks.
🔸 Additional Notes
The fix involves using jQuery's text() method to properly escape the docId before inserting it into the HTML. This ensures that any potentially harmful characters are neutralized, preventing XSS attacks.
🛠 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.
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