aws-resource-validator-pipes

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential harvesting activities. However, the metadata risk due to the maintainer's new or inactive account and lack of detailed author information raises some suspicion.

  • Metadata risk due to new/inactive maintainer account
  • Lack of detailed author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, which could indicate potential risk.

📦 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 (294 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-pipes 
Create a Python-based command-line tool named 'PipeInspector' that leverages the 'aws-resource-validator-pipes' package to validate AWS Pipes configurations. This tool will help users ensure their AWS Pipes resources are correctly defined before deployment. Here’s a detailed outline of what the application should achieve:

1. **Setup and Installation**: Ensure the application can be easily installed via pip and includes all necessary dependencies.
2. **Configuration Loading**: Allow users to load AWS Pipes configurations from a YAML file or directly from the command line.
3. **Validation Process**: Utilize the 'aws-resource-validator-pipes' package to validate the loaded configuration against Pydantic v2 models provided by the package. The validation should check for completeness, correctness, and adherence to AWS Pipes schema definitions.
4. **Error Reporting**: If any issues are found during validation, the tool should provide clear, user-friendly error messages detailing what needs to be corrected.
5. **Success Confirmation**: Upon successful validation, inform the user that their configuration is ready for deployment without further adjustments.
6. **Optional Features**:
   - Support for multiple configuration files in a single run.
   - Integration with AWS SDK to fetch current Pipe definitions and compare them with the new configuration for drift detection.
   - Option to automatically correct common mistakes (e.g., default values).
7. **Documentation**: Provide comprehensive documentation on how to use the tool, including examples of valid and invalid configurations.

This project aims to streamline the process of managing and validating AWS Pipes configurations, making it easier for developers and DevOps engineers to ensure their configurations are accurate and ready for deployment.

💬 Discussion Feed

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