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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
sources/script.js 5

1. sources/script.js

🧩 SAST Analysis Summary

Line Type Level
138 InsufficientPostmessageValidation 💡 NOTE
148 InsufficientPostmessageValidation 💡 NOTE
208 TooPermissiveCorsPostMessage ⚠️ WARNING
214 TooPermissiveCorsPostMessage ⚠️ WARNING
225 TooPermissiveCorsPostMessage ⚠️ WARNING

📝 LLM Analysis

🔸 Vulnerability Description

The code uses postMessage with a target origin of "*", which is too permissive and can allow any malicious site to intercept messages. Additionally, the origin of incoming messages is not validated, allowing any site to send potentially harmful messages.

🔸 Recommended Fix

Specify an exact target origin in postMessage to ensure that messages are only sent to trusted origins. Additionally, validate the origin of incoming messages to ensure they are from trusted sources.

🔸 Additional Notes

The whatsAppUrl is used as the trusted origin for both sending and receiving messages. This ensures that only messages from the specified origin are processed, mitigating the risk of unauthorized message handling.

🛠 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 Developer, 👩‍💻👨‍💻

My name is Yunjeong Choe, a software developer specializing in security solutions based in South Korea.

We have developed a security software called Autofic, which analyzes user repositories to detect security vulnerabilities using SAST tools, and automatically applies code fixes through an LLM-based model. 🛡️🤖

During an analysis of your repository, we identified certain security vulnerabilities. We have submitted a Pull Request containing the automatically generated fixes via Autofic.
We kindly ask you to review the changes at your convenience. 🙏

If you have any questions or require further information, please feel free to contact us at the email address below:
📧 autofic.whs@gmail.com

Thank you for your time and consideration.
Best regards,
Yunjeong Choe

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