aws-resource-validator-marketplace-agreement

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across network, shell, obfuscation, and credential fronts. However, the metadata risk score due to the incomplete maintainer's profile and potential inactivity suggests a need for caution.

  • Incomplete maintainer profile
  • Potential maintainer inactivity
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating it does not attempt to execute system commands.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, which raises some suspicion but not enough to definitively label it as malicious.

📦 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-marketplace-agreement 
Create a Python-based utility named 'MarketplaceAgreementChecker' that leverages the 'aws-resource-validator-marketplace-agreement' package to validate AWS Marketplace agreements. This tool should allow users to input specific AWS resources and check if they comply with the terms defined in the marketplace agreements. Here’s a detailed breakdown of what your project should include:

1. **User Interface**: Develop a simple command-line interface (CLI) for user interaction. Users should be able to enter the ARN (Amazon Resource Name) of an AWS resource.

2. **Validation Logic**: Utilize the Pydantic v2 models provided by 'aws-resource-validator-marketplace-agreement' to validate the entered ARN against the marketplace agreements. Ensure that the validation process checks for compliance with all relevant agreements associated with the specified AWS resource type.

3. **Error Handling**: Implement robust error handling to manage invalid inputs (e.g., incorrect ARN format) and display meaningful error messages to guide the user.

4. **Output**: Provide clear and concise output indicating whether the resource complies with the marketplace agreements or not. If there are issues, specify which agreement(s) it violates.

5. **Documentation**: Write comprehensive documentation explaining how to install and use the 'MarketplaceAgreementChecker'. Include examples of valid and invalid inputs.

6. **Testing**: Create unit tests to verify the correctness of the validation logic. Test with a variety of ARNs, including edge cases.

7. **Extensibility**: Design the codebase to be easily extendable. For instance, adding support for new AWS resource types or marketplace agreements should be straightforward.

The goal is to create a reliable, user-friendly tool that helps developers and administrators ensure their AWS resources adhere to marketplace agreements, thus avoiding potential legal and financial repercussions.

💬 Discussion Feed

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