aws-resource-validator-freetier

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories with no network calls, shell executions, obfuscations, or credential harvesting attempts. The only concern is the sparse metadata, but this alone does not indicate malicious intent.

  • Sparse author details
  • No network calls
  • No shell execution patterns
  • No obfuscation patterns
  • No credential harvesting patterns
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external API interactions.
  • Shell: No shell execution patterns detected, indicating no potential for executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's details are sparse, suggesting a potentially less experienced or cautious maintainer.

📦 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 (303 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-freetier
Create a command-line utility called 'Freetier Validator' using Python and the 'aws-resource-validator-freetier' package. This tool will help users validate their AWS resources against the free tier limits provided by Amazon Web Services. The application should have the following functionalities:

1. **Resource Validation**: Allow users to input details of their AWS resources (e.g., EC2 instances, S3 buckets, RDS databases) and validate if these resources exceed the AWS Free Tier limits.
2. **Configuration Management**: Users should be able to manage configurations for different AWS accounts and regions, storing them securely.
3. **Report Generation**: After validation, generate a report detailing which resources are within the free tier limits and which ones exceed them.
4. **CLI Interface**: Develop a user-friendly CLI interface for easy interaction.
5. **Integration with AWS SDK**: Utilize the AWS SDK for Python (Boto3) to fetch live data about AWS resources for more accurate validation.
6. **Security Features**: Implement basic security measures like encrypted storage for credentials and access keys.

To achieve these goals, you will extensively use the 'aws-resource-validator-freetier' package, particularly its Pydantic v2 models, to ensure the data integrity and correctness of resource inputs. Additionally, leverage PEP 420 namespace extensions to streamline the integration of the package into your application.

💬 Discussion Feed

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