aws-resource-validator-taxsettings

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk indicators, with no network calls, shell executions, or obfuscation techniques. However, the incomplete maintainer's author information and potentially inactive account raise concerns about its provenance.

  • Incomplete maintainer's author information
  • Potentially inactive maintainer's account
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 from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete and the account seems 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 (312 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-taxsettings 
Create a Python-based CLI tool named 'TaxSettingsValidator' that leverages the 'aws-resource-validator-taxsettings' package to validate AWS tax settings configurations against predefined schemas. This tool will help developers and system administrators ensure their AWS tax settings comply with organizational policies and best practices. Here are the steps and features for your project:

1. **Setup Project**: Initialize a new Python project and install necessary dependencies including 'aws-resource-validator-taxsettings', 'pydantic', and 'click' for command-line interface handling.

2. **Define Validation Rules**: Utilize the Pydantic models provided by 'aws-resource-validator-taxsettings' to define validation rules. These rules should cover various aspects of AWS tax settings such as tax rates, tax types, and jurisdiction settings.

3. **CLI Interface**: Implement a simple yet effective CLI using 'click'. The CLI should accept input either from a file containing tax settings data or directly from user input via the terminal.

4. **Validation Logic**: Write the logic to parse input data and validate it against the defined schemas using Pydantic models. Ensure error messages are clear and informative, guiding users on how to correct any issues found during validation.

5. **Output Results**: Once validation is complete, output the results in a structured format like JSON or YAML. Include details on whether each setting passed validation, and if not, why it failed.

6. **Testing**: Develop unit tests to verify that the validation process works correctly across different scenarios. Pay special attention to edge cases and complex tax settings configurations.

7. **Documentation**: Provide comprehensive documentation on how to use the 'TaxSettingsValidator' tool, including examples and explanations of common validation errors.

8. **Deployment**: Package your tool as a standalone executable or containerized application, making it easy for others to install and run without needing to set up a development environment.

By following these steps, you'll create a robust, user-friendly tool that significantly simplifies the task of validating AWS tax settings configurations.

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