totaljs
[Autofic] Security Patch 2025-07-24
🔧 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 |
|---|---|
models/account.js |
1 |
models/login.js |
1 |
1. models/account.js
🧩 SAST Analysis Summary
| Line | Type | Level |
|---|---|---|
| 34 | InsecureHash | 💡 NOTE |
📝 LLM Analysis
🔸 Vulnerability Description
The code uses the SHA1 hashing algorithm, which is considered insecure due to vulnerabilities that allow for collision attacks.
🔸 Recommended Fix
Replace the SHA1 hashing algorithm with a more secure algorithm, such as SHA-256, provided by a library like crypto in Node.js.
🔸 Additional Notes
The crypto module is a built-in module in Node.js, so it can be used without installing additional packages. The change ensures that a more secure hashing algorithm is used for password hashing.
2. models/login.js
🧩 SAST Analysis Summary
| Line | Type | Level |
|---|---|---|
| 13 | InsecureHash | 💡 NOTE |
📝 LLM Analysis
🔸 Vulnerability Description
The code uses the SHA-1 hashing algorithm to hash passwords. SHA-1 is considered insecure due to vulnerabilities that make it susceptible to collision attacks.
🔸 Recommended Fix
Replace the SHA-1 hashing algorithm with a more secure algorithm, such as SHA-256, or use a dedicated password hashing library like bcrypt or Argon2 for better security.
🔸 Additional Notes
It's important to note that while changing to SHA-256 is an improvement, using a dedicated password hashing library like bcrypt or Argon2 is highly recommended for storing passwords securely. These libraries incorporate salting and multiple iterations, which significantly enhance security.
🛠 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.
