[Autofic] Security Patch 2025-07-24 #27
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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. If you have any questions or require further information, please feel free to contact us at the email address below: Thank you for your time and consideration. |
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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
lib/opensoc-ui.jstest/session-test.jslib/modules/login.jslib/modules/pcap.js1.
lib/opensoc-ui.js🧩 SAST Analysis Summary
📝 LLM Analysis
2.
test/session-test.js🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code contains hardcoded credentials, specifically an email and password, used in the login test cases.
🔸 Recommended Fix
Replace hardcoded credentials with variables that can be set through environment variables or a secure configuration file.
🔸 Additional Notes
Ensure that the environment variables
TEST_EMAILandTEST_PASSWORDare set in your testing environment to the appropriate values before running the tests. This change enhances security by removing hardcoded sensitive information from the source code.3.
lib/modules/login.js🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code lacks rate limiting on the login endpoint, which could allow attackers to perform brute force attacks on user passwords. Additionally, expensive operations are performed without rate limiting, potentially enabling Denial-of-Service (DoS) attacks.
🔸 Recommended Fix
Implement a rate-limiting middleware, such as
express-rate-limit, to restrict the number of requests to the login endpoint and any expensive operations.🔸 Additional Notes
The
express-rate-limitpackage should be installed in your project for the rate limiting to work. You can install it usingnpm install express-rate-limit. Adjust the rate limiting parameters as needed to fit your security requirements.4.
lib/modules/pcap.js🧩 SAST Analysis Summary
📝 LLM Analysis
🔸 Vulnerability Description
The code performs expensive operations, such as file system operations and system command executions, without implementing a rate-limiting mechanism. This could allow attackers to perform Denial-of-Service (DoS) attacks by overwhelming the server with requests.
🔸 Recommended Fix
Implement a rate-limiting middleware to restrict the number of requests a client can make to the endpoints within a given timeframe. This can be achieved using libraries like
express-rate-limit.🔸 Additional Notes
The
express-rate-limitmiddleware is used to limit the number of requests each IP can make to the endpoints within a 15-minute window. This helps mitigate the risk of DoS attacks by controlling the request rate. Make sure to install theexpress-rate-limitpackage in your project.🛠 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.