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Description: This pull request introduces two new GitHub Actions workflows (
pipeline-ai-impact-full.ymlandpipeline-ai-impact-pullrequest.yml) to automate the generation of unit tests, documentation, code reviews, and code fixes using external APIs. Additionally, several Java files in the project have been modified to improve code quality, security, and maintainability. Changes include refactoring, logging enhancements, and updates to method signatures and access modifiers.Summary:
File:
.github/workflows/pipeline-ai-impact-full.yml(added)File:
.github/workflows/pipeline-ai-impact-pullrequest.yml(added)File:
src/main/java/com/scalesec/vulnado/Comment.java(modified)fetch_all→fetchAll).try-with-resources.System.err.printlnwithLoggerfor better logging practices.File:
src/main/java/com/scalesec/vulnado/CommentsController.java(modified)@CrossOrigin.File:
src/main/java/com/scalesec/vulnado/CowController.java(modified)/cowsayendpoint.File:
src/main/java/com/scalesec/vulnado/Cowsay.java(modified)File:
src/main/java/com/scalesec/vulnado/LinkLister.java(modified)try-with-resourcesfor better resource management.File:
src/main/java/com/scalesec/vulnado/LinksController.java(modified)File:
src/main/java/com/scalesec/vulnado/LoginController.java(modified)File:
src/main/java/com/scalesec/vulnado/Postgres.java(modified)Class.forNamecall for PostgreSQL driver.File:
src/main/java/com/scalesec/vulnado/User.java(modified)File:
src/test/java/com/scalesec/vulnado/VulnadoApplicationTests.java(modified)Recommendation:
Security Enhancements:
Postgres.javawith a more secure algorithm like SHA-256 or bcrypt for password storage.Logging Improvements:
Code Quality:
Cowsayclass to handle exceptions more gracefully and avoid exposing stack traces in logs.Workflow Optimization:
Explanation of vulnerabilities:
Command Injection in
Cowsay.java:cmdvariable was vulnerable to command injection due to unsanitized user input.replaceAllto remove potentially dangerous characters.SQL Injection in
User.java:Hardcoded Credentials in Workflows:
username=administrator,password=Gft@2025).Use of MD5 for Password Hashing:
By addressing these vulnerabilities and recommendations, the project can achieve better security, maintainability, and functionality.