aws-resource-validator-launch-wizard

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS launch_wizard, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks, but the incomplete metadata raises concerns about the developer's credibility.

  • author's name missing
  • author appears to be new or inactive
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting that the package does not pose a risk for stealing secrets or credentials.
  • Metadata: The author's name is missing and they appear to be new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (318 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aws-resource-validator-launch-wizard 
Create a Python-based utility named 'AWS Resource Validation Assistant' that leverages the 'aws-resource-validator-launch-wizard' package to validate configurations for AWS resources before deployment. This tool will serve as a pre-deployment check to ensure that resource configurations adhere to best practices and comply with organizational policies. Here's a detailed breakdown of the steps and features:

1. **Setup**: Begin by installing the necessary packages, including 'aws-resource-validator-launch-wizard'. Also, ensure that your AWS CLI is configured with the appropriate credentials and permissions.

2. **Configuration Parsing**: Develop a function that parses configuration files (e.g., YAML or JSON) containing AWS resource definitions. Use the Pydantic v2 models provided by 'aws-resource-validator-launch-wizard' to validate these configurations against predefined schemas.

3. **Validation Logic**: Implement validation logic that checks for common issues such as missing required fields, incorrect data types, and unsupported resource types. Utilize the 'aws-resource-validator-launch-wizard' package to streamline this process.

4. **Custom Rules**: Allow users to define custom validation rules based on their specific requirements or organizational policies. These rules should also be validated using the Pydantic models from 'aws-resource-validator-launch-wizard', ensuring consistency and compliance.

5. **Reporting**: Generate a report detailing any issues found during the validation process. This report should include a summary of errors, warnings, and suggestions for improvement. Additionally, provide options to output this report in various formats (text, HTML, etc.).

6. **Interactive Mode**: Include an interactive mode where users can input resource configurations manually via the command line, receive real-time feedback on validation status, and make adjustments until the configuration passes all checks.

7. **Integration with CI/CD**: Demonstrate how the 'AWS Resource Validation Assistant' can be integrated into Continuous Integration/Continuous Deployment (CI/CD) pipelines to automatically validate AWS resource configurations at each stage of the deployment process.

8. **Documentation and Help**: Provide comprehensive documentation and help options within the application to guide users through setup, usage, and customization of validation rules.

By following these steps and incorporating these features, you'll create a powerful and flexible tool that enhances the reliability and security of AWS resource deployments.

💬 Discussion Feed

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