Snapmaker
[ AutoFiC ] Security Patch 2025-08-01
🔧 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/server/services/api/api-i18n.js |
4 |
src/server/services/api/api-profile-definitions.js |
23 |
src/server/services/api/api-state.js |
1 |
src/server/services/api/api-svg.js |
3 |
1. src/server/services/api/api-i18n.js
🧩 SAST Analysis Summary
| Line | Type | Level | CWE | Ref |
|---|---|---|---|---|
| 105 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 105 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 108 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 108 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
📝 LLM Analysis
🔸 Vulnerability Description
The code is vulnerable to a Path Traversal attack. This occurs because user input is used to construct file paths without proper validation or sanitization, allowing an attacker to manipulate the file path to access unintended files or directories.
🔸 Recommended Fix
Validate and sanitize the user input used in file paths to ensure it does not contain any path traversal sequences such as ... Additionally, use path resolution functions to ensure the final path is within the intended directory.
🔸 Additional Notes
The input validation uses a regular expression to ensure that only alphanumeric characters, underscores, and hyphens are allowed in the language and namespace parameters, which helps prevent path traversal attacks.
2. src/server/services/api/api-profile-definitions.js
🧩 SAST Analysis Summary
| Line | Type | Level | CWE | Ref |
|---|---|---|---|---|
| 124 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 125 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 174 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 174 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 176 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 176 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 197 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 215 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 215 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 216 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 216 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 273 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 273 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 274 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 274 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 276 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 276 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 277 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 277 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 337 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 337 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 338 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
| 338 | Path Traversal | ⚠️ WARNING | CWE-22 | 🔗 |
📝 LLM Analysis
🔸 Vulnerability Description
The code contains potential path traversal vulnerabilities, which can allow an attacker to manipulate file paths and access files outside the intended directories.
🔸 Recommended Fix
Validate and sanitize the file paths to ensure they are within the intended directories. Use path resolution methods to prevent path traversal.
🔸 Additional Notes
The changes ensure that file paths are resolved and validated to prevent path traversal. This helps maintain the integrity of the file system by ensuring that file operations are confined to the intended directories.
3. src/server/services/api/api-state.js
🧩 SAST Analysis Summary
| Line | Type | Level | CWE | Ref |
|---|---|---|---|---|
| 23 | Cross-Site-Scripting (XSS) | ⚠️ WARNING | CWE-79 | 🔗 |
📝 LLM Analysis
🔸 Vulnerability Description
The code directly writes user-defined input to the response object using res.send(). This can lead to Cross-Site Scripting (XSS) vulnerabilities if the input is not properly sanitized or escaped.
🔸 Recommended Fix
Use a method that automatically escapes HTML, such as res.json(), to safely handle the output and prevent XSS attacks.
🔸 Additional Notes
The change from res.send() to res.json() ensures that the response is automatically JSON-stringified and safely escaped, mitigating the risk of XSS. This change is minimal and adheres to the guidelines provided.
4. src/server/services/api/api-svg.js
🧩 SAST Analysis Summary
| Line | Type | Level | CWE | Ref |
|---|---|---|---|---|
| 11 | Cross-Site-Scripting (XSS) | ⚠️ WARNING | CWE-79 | 🔗 |
| 19 | Cross-Site-Scripting (XSS) | ⚠️ WARNING | CWE-79 | 🔗 |
| 32 | Cross-Site-Scripting (XSS) | ⚠️ WARNING | CWE-79 | 🔗 |
📝 LLM Analysis
🔸 Vulnerability Description
The code directly sends user input to the response object without any sanitization or escaping, which can lead to Cross-Site Scripting (XSS) vulnerabilities.
🔸 Recommended Fix
Sanitize or escape the user input before sending it in the response to prevent any malicious scripts from being executed.
🔸 Additional Notes
The escapeHtml function is added to ensure that any potentially harmful characters in the SVG output are properly escaped before being sent to the client. This is a minimal change aimed at mitigating XSS risks while preserving the original structure and functionality of the code.
🛠 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.
Dear Luban Developer, 👩💻👨💻
My name is Seonju Park, a student majoring in Electronics Engineering at the Chungbuk National University 🇰🇷, with a strong interest in information security and software development. 🔐💻
We have developed a security tool called AutoFiC – an Automated Security Patch Generation Tool. AutoFiC analyzes public repositories using SAST tools to detect potential vulnerabilities and automatically generates code fixes through an LLM-based model. 🛡️🤖
During the analysis of your repository (Luban), our system identified certain security vulnerabilities. We have submitted a Pull Request that includes automatically generated patches via AutoFiC. We would be sincerely grateful if you could take a moment to review and consider approving the PR. 🙏
Your approval would not only improve the security of your project but also contribute meaningfully to our academic research and development efforts.
If you have any questions or need further information, feel free to reach out to us: 📧 [email protected]
Thank you very much for your time and consideration.
Best regards, Seonju Park