aws-resource-validator-proton

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to the incomplete author profile and potential inactivity, suggesting a need for further investigation.

  • Incomplete author profile
  • Potential inactivity of the author
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 no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has an incomplete profile and seems to be new or inactive, raising some suspicion but not definitive 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 (297 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-proton 
Create a Python-based CLI tool named 'ProtonChecker' using the 'aws-resource-validator-proton' package. This tool will help developers validate their AWS Proton resources before deploying them to ensure they adhere to best practices and standards.

### Project Goals:
1. **Resource Validation**: Implement a feature to validate specific AWS Proton resources like services, environments, and deployments against predefined schemas provided by 'aws-resource-validator-proton'.
2. **Customizable Validation Rules**: Allow users to define custom validation rules that extend or modify the default schemas from 'aws-resource-validator-proton'. These rules could include checks for security policies, cost optimization strategies, or compliance requirements.
3. **Reporting**: Generate detailed reports indicating whether each resource passes or fails validation, along with suggestions for improvements if applicable.
4. **Integration with CI/CD Pipelines**: Provide an option to integrate 'ProtonChecker' into CI/CD pipelines so that it automatically runs during deployment phases to catch issues early.
5. **User-Friendly Interface**: Ensure the CLI tool is easy to use with clear commands and comprehensive help documentation.

### Utilizing 'aws-resource-validator-proton':
- Use the Pydantic v2 models from 'aws-resource-validator-proton' to define the structure and constraints of valid AWS Proton resources.
- Leverage the package's namespace extension capabilities to dynamically load and apply validation schemas based on user input or configuration files.
- Customize the validation logic by extending or overriding the base models with additional fields or validation methods that align with specific organizational policies.

### Additional Features:
- Support for multiple AWS accounts and regions.
- Real-time feedback during resource creation or modification processes.
- Integration with external tools like Slack or email for alerting about failed validations.
- A web interface for visualizing validation results and trends over time.

💬 Discussion Feed

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