aws-resource-validator-arc-region-switch

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, obfuscation, and credential handling, but the metadata risk score is moderately high due to sparse author information and possibly inactive account.

  • Sparse author information
  • Possibly inactive account
Per-check LLM notes
  • Network: No network calls detected, which is expected if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is sparse 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 (330 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-arc-region-switch 
Create a Python-based utility called 'AWS Region Switch Validator' that leverages the 'aws-resource-validator-arc-region-switch' package to validate and manage AWS region switches for various resources. This tool will help DevOps engineers and cloud administrators ensure that their AWS resources are correctly configured for cross-region deployments.

Step 1: Define the Application Scope
- The application should focus on validating the configuration of AWS resources across different regions using the provided Pydantic v2 models.
- It should support multiple AWS services such as S3, RDS, EC2, etc.

Step 2: Set Up the Development Environment
- Use Python 3.8 or higher.
- Install necessary dependencies including 'aws-resource-validator-arc-region-switch', Boto3 for AWS SDK, and Pydantic for model validation.

Step 3: Design the Core Functionality
- Implement functions to load AWS resource configurations from a YAML file or environment variables.
- Validate these configurations against the Pydantic models provided by 'aws-resource-validator-arc-region-switch'.
- Provide feedback on any inconsistencies or errors found during validation.

Step 4: Add Interactive Features
- Develop a command-line interface (CLI) where users can input their AWS credentials securely.
- Allow users to specify which regions they want to validate resources against.

Step 5: Extend Functionality
- Integrate with AWS CloudFormation templates to automatically validate resources defined within them.
- Offer suggestions for correcting any issues identified during the validation process.

Step 6: Enhance Usability
- Include comprehensive documentation and examples to guide users through the setup and usage of the tool.
- Ensure the CLI provides clear and concise output.

How 'aws-resource-validator-arc-region-switch' is Utilized:
- The package's Pydantic models are used to define the expected structure of AWS resource configurations.
- These models ensure that all configurations adhere to AWS best practices and standards when switching regions.
- By leveraging the package's namespace extension capabilities, the application can easily extend its validation logic to cover more AWS services and configurations.

💬 Discussion Feed

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