[Autofic] Security Patch 2025-07-23 #17
Open
+148
β552
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π§ 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.
π Summary of Security Fixes
Overview
Layer-7/BROWSER METHOD/flooder.jsLayer-7/CF bypass NEW/j-script.jsLayer-7/TLSv2/tls2.js1.
Layer-7/BROWSER METHOD/flooder.jsπ§© SAST Analysis Summary
π LLM Analysis
πΈ Vulnerability Description
The code sets the
rejectUnauthorizedoption tofalsein the TLS connection, which bypasses the verification of the server's certificate against the list of trusted CAs. This makes the connection vulnerable to man-in-the-middle (MITM) attacks.πΈ Recommended Fix
Enable TLS verification by setting
rejectUnauthorizedtotrueto ensure that the server's certificate is properly validated against trusted CAs.πΈ Additional Notes
The change ensures that the TLS connection is secure by verifying the server's certificate, which helps protect against potential MITM attacks.
2.
Layer-7/CF bypass NEW/j-script.jsπ§© SAST Analysis Summary
π LLM Analysis
πΈ Vulnerability Description
The code sets the
rejectUnauthorizedoption tofalsein thetlsOptionsobject. This bypasses the verification of the server's SSL/TLS certificate, making the application vulnerable to man-in-the-middle (MITM) attacks.πΈ Recommended Fix
Set the
rejectUnauthorizedoption totrueto ensure that the server's SSL/TLS certificate is verified against the list of trusted CAs.πΈ Additional Notes
Ensure that the server's SSL/TLS certificates are properly configured and trusted by the client to avoid connection issues when enabling certificate verification.
3.
Layer-7/TLSv2/tls2.jsπ§© SAST Analysis Summary
π LLM Analysis
π 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.