[ AutoFiC ] Security Patch 2025-07-31 #1872
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Security Fixes Suggested via Pull Request – Powered by Autofic 🛠️ Dear Esteemed Developer, My name is Jeongmin Oh, an undergraduate student majoring in Information Security at Gachon University 🇰🇷. I'm currently participating in a university project focused on enhancing software security using a combination of static analysis (SAST) and large language models (LLMs). As part of this initiative, we developed a tool called Autofic, which analyzes public code repositories to detect security vulnerabilities using SAST tools and then generates suggested fixes with the support of LLMs. 🔐 During a recent analysis of your repository, our system identified a few areas that may pose security risks. To assist in addressing them, we have submitted a Pull Request containing proposed patches automatically generated by Autofic. Since this work is part of an academic research project, your review and potential approval would be immensely valuable to us. 🙏 If you have any questions or would like to learn more about how Autofic works, please don’t hesitate to reach out. Thank you for your time and for your valuable contribution to the open-source community. Best regards, |
🔧 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
sample-apps/react-native/ringing-tutorial/constants/Users.tssample-apps/react-native/ringing-tutorial/utils/setPushConfig.tspackages/client/src/rtc/signal.tspackages/client/src/timers/index.tspackages/client/src/timers/worker.ts1.
sample-apps/react-native/ringing-tutorial/constants/Users.ts🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code contains hardcoded JWT tokens, which are sensitive information and should not be exposed in the source code.
🔸 Recommended Fix
Store the tokens securely in environment variables or a secure vault and access them at runtime.
🔸 Additional Notes
Ensure that the environment variables (
USER1_TOKEN,USER2_TOKEN,USER3_TOKEN) are set in the environment where this code runs. This approach keeps sensitive information out of the source code and allows for easier management of secrets.2.
sample-apps/react-native/ringing-tutorial/utils/setPushConfig.ts🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code contains a hardcoded API key, which is a sensitive value that should not be exposed in the source code.
🔸 Recommended Fix
Store the API key in an environment variable or a secure storage solution, and access it programmatically.
🔸 Additional Notes
Ensure that the environment variable
STREAM_API_KEYis set in the environment where this code is running. This can typically be done by configuring the environment variables in your deployment setup or using a library likedotenvfor local development.3.
packages/client/src/rtc/signal.ts🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code listens for messages on a WebSocket connection but does not verify the origin of the received messages. This can allow any site to send messages to this WebSocket connection, potentially leading to security risks if the messages are not properly validated.
🔸 Recommended Fix
Implement a check to verify the origin of the received messages. This can be done by comparing the origin of the message with a list of trusted origins.
🔸 Additional Notes
The trusted origins list should be updated to include all domains that are expected to communicate with this WebSocket connection. This example uses a placeholder
https://trusted-origin.com, which should be replaced with actual trusted domains.4.
packages/client/src/timers/index.ts🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code does not validate the origin of the messages received by the web worker. This can lead to security issues where any site can send messages to the worker, potentially causing unintended behavior.
🔸 Recommended Fix
Validate the origin of the message to ensure it comes from a trusted source before processing it.
🔸 Additional Notes
Ensure that the origin check (
event.origin !== window.location.origin) is appropriate for your use case. If your application expects messages from multiple origins, you may need to adjust this validation accordingly.5.
packages/client/src/timers/worker.ts🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code is vulnerable to Insufficient Postmessage Validation. The origin of the received message is not checked, which means any site, including potentially malicious ones, can send messages to this worker.
🔸 Recommended Fix
Validate the origin of the message to ensure it comes from a trusted source before processing it.
🔸 Additional Notes
Replace
'https://trusted-origin.com'with the actual origin you expect to receive messages from. This change ensures that only messages from a trusted origin are processed, mitigating the risk of malicious interference.🛠 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.