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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
example/jokeChatServer.js 1
src/index.js 2
build/FBLocalChatRoutes.js 1
src/FBLocalChatRoutes.js 2
build/index.js 1

1. example/jokeChatServer.js

🧩 SAST Analysis Summary

Line Type Level
166 DisablePoweredBy ⚠️ WARNING

📝 LLM Analysis

🔸 Vulnerability Description

The Express application is exposing the X-Powered-By header, which reveals information about the server's framework, potentially aiding attackers.

🔸 Recommended Fix

Use the helmet middleware to disable the X-Powered-By header, enhancing the security of the Express application.

🔸 Additional Notes

The helmet middleware is a collection of 14 smaller middleware functions that set security-related HTTP headers. By default, it includes disabling the X-Powered-By header, which is the primary concern here.

2. src/index.js

🧩 SAST Analysis Summary

Line Type Level
111 HTTPSourceWithUncheckedType 💡 NOTE
76 XSS 🛑 ERROR

📝 LLM Analysis

🔸 Vulnerability Description

The code in the router.post('/', (req, res) => { ... }) block does not validate the type of req.body before using it. This can lead to unexpected behavior if the body is not in the expected format. Additionally, the res.send method is used directly with user-controlled data, which can lead to Cross-Site Scripting (XSS) vulnerabilities if the data is not properly sanitized.

🔸 Recommended Fix

Validate the type of req.body and its properties before using them. Ensure that any data sent back to the client is properly sanitized to prevent XSS attacks.

🔸 Additional Notes

It is important to ensure that all user inputs are validated and sanitized before processing them. This helps in preventing various types of attacks, including XSS and injection attacks.

3. build/FBLocalChatRoutes.js

🧩 SAST Analysis Summary

Line Type Level
120~139 NoRateLimitingForExpensiveWebOperation ⚠️ WARNING

📝 LLM Analysis

🔸 Vulnerability Description

The code performs an expensive file system operation by reading a file in response to a web request. This operation is not protected by any rate-limiting mechanism, which could allow attackers to perform Denial-of-Service (DoS) attacks by sending a large number of requests in a short period.

🔸 Recommended Fix

Implement a rate-limiting middleware to restrict the number of requests that can be made to this endpoint within a certain timeframe.

🔸 Additional Notes

The rate limiter is configured to allow a maximum of 100 requests per 15-minute window per IP address. Adjust these parameters according to your application's needs.

4. src/FBLocalChatRoutes.js

🧩 SAST Analysis Summary

Line Type Level
105~124 NoRateLimitingForExpensiveWebOperation ⚠️ WARNING
122 XSS 🛑 ERROR

📝 LLM Analysis

🔸 Vulnerability Description

The code is vulnerable to a Denial-of-Service (DoS) attack due to the lack of rate limiting on an endpoint that performs an expensive file system operation. Additionally, the code is susceptible to a Cross-Site Scripting (XSS) attack because unsanitized input from an HTTP parameter is used to render an HTML page.

🔸 Recommended Fix

Implement rate limiting on the endpoint that performs the file system operation to prevent abuse. Sanitize the input used to render the HTML page to prevent XSS attacks.

🔸 Additional Notes

The express-rate-limit middleware is used to limit the number of requests to the endpoint, mitigating the risk of DoS attacks. The encodeURIComponent function is used to sanitize the baseURL to prevent XSS attacks. Additionally, the path.join function is used to ensure the file path is properly sanitized when serving files.

5. build/index.js

🧩 SAST Analysis Summary

Line Type Level
85 XSS 🛑 ERROR

📝 LLM Analysis

🛠 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.

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