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@soonnae soonnae commented Jul 25, 2025

🔧 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/components/shared/console/console.jsx 1

1. src/components/shared/console/console.jsx

🧩 SAST Analysis Summary

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

📝 LLM Analysis

🔸 Vulnerability Description

The code uses dangerouslySetInnerHTML to insert HTML content into the DOM. This can lead to Cross-Site Scripting (XSS) attacks if the HTML content is derived from user input and is not properly sanitized.

🔸 Recommended Fix

Use a library like DOMPurify to sanitize the HTML content before setting it with dangerouslySetInnerHTML.

🔸 Additional Notes

By using DOMPurify, we ensure that any HTML content inserted into the DOM is sanitized, reducing the risk of XSS attacks. Make sure to install DOMPurify in your project to use it effectively.

🛠 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.

@soonnae
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soonnae commented Jul 25, 2025

Security Fixes Suggested via Pull Request – Powered by Autofic 🛠️

Hello,
I hope this message finds you well.

My name is Jeongmin Oh, a software engineer from South Korea 🇰🇷 working on AI-powered security solutions.

We recently developed a tool called Autofic, which scans public code repositories for potential vulnerabilities using SAST tools and provides automated remediation using an LLM-based model. 🔐

During a recent analysis of your repository, our system flagged some areas that may pose security risks. To assist, we’ve submitted a Pull Request with proposed patches generated by Autofic.

Please feel free to take a look when convenient. If you have any questions or would like to understand more about how Autofic works, don’t hesitate to reach out.
📨 [email protected]

Thank you for your attention and for maintaining such valuable open-source work.

Best regards,
Jeongmin Oh

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2 participants