aws-resource-validator-route53globalresolver

v2.0.3 safe
2.0
Low Risk

Pydantic v2 models for AWS route53globalresolver, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk across all categories with no network calls, shell executions, obfuscations, or credential risks detected. The metadata risk is slightly elevated due to sparse author details.

  • Low network and shell risk
  • No signs of obfuscation or credential harvesting
  • Sparse author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no risk of credential theft.
  • Metadata: The author details are sparse, indicating potential low activity or a new account, but no clear indicators of malicious intent.

📦 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 (342 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-route53globalresolver 
Create a command-line tool called 'Route53GlobalResolverChecker' that helps system administrators validate and monitor their Route 53 Resolver configurations using the 'aws-resource-validator-route53globalresolver' package. This tool will leverage Pydantic v2 models provided by the package to ensure that the configurations adhere to AWS best practices and standards. Here’s a step-by-step guide on what your tool should do:

1. **Setup**: Install necessary dependencies including 'aws-resource-validator-route53globalresolver', boto3 for AWS SDK, and typer for command-line interface.
2. **Authentication**: Implement authentication through AWS credentials file or environment variables. Ensure the user has the necessary permissions to access Route 53 Resolver resources.
3. **Resource Validation**: Use Pydantic models from 'aws-resource-validator-route53globalresolver' to validate Route 53 Resolver configurations such as firewalls, associations, and endpoints. The validation process should check for common issues like misconfigured rules, missing required fields, and unsupported operations.
4. **Configuration Check**: Allow users to specify which specific Route 53 Resolver resources they want to check. For example, they might only want to validate DNS Firewalls or DNS Resolver Rules.
5. **Report Generation**: Generate a report summarizing the findings of the validation process. Include details about any violations of best practices or potential security risks. The report should also suggest improvements where applicable.
6. **Interactive Mode**: Offer an interactive mode where users can input configuration changes directly and see real-time validation feedback. This could help them understand how certain changes affect compliance.
7. **Logging and Error Handling**: Implement logging for all actions performed by the tool, including successful validations and errors encountered during execution. This will aid in troubleshooting and auditing.
8. **Documentation**: Provide comprehensive documentation detailing how to install, configure, and use the tool effectively. Include examples of common use cases and troubleshooting tips.

The 'aws-resource-validator-route53globalresolver' package will be primarily used to define and validate the structure of Route 53 Resolver configurations against Pydantic models. These models ensure that configurations are not only syntactically correct but also align with AWS standards and best practices. By leveraging this package, you can automate the validation process, reducing manual errors and improving overall system reliability.

💬 Discussion Feed

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