aws-resource-validator-transfer

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package presents a low risk for obfuscation and credential theft. However, the maintainer's new or inactive account and incomplete profile increase the suspicion level, suggesting potential supply-chain risks.

  • Low obfuscation risk
  • Low credential risk
  • Maintainer has a new or inactive account
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account with minimal package history and an incomplete author profile, which raises some concerns but does not strongly indicate 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 (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-transfer 
Create a mini-application called 'TransferValidator' that leverages the 'aws-resource-validator-transfer' Python package to validate AWS Transfer configurations. This application will help users ensure their AWS Transfer Service configurations comply with best practices and security standards. Here’s a detailed breakdown of the project requirements:

1. **Application Setup**: Start by setting up a virtual environment and installing the required packages, including 'aws-resource-validator-transfer'. Ensure your application is structured with clear separation of concerns, such as models, validators, and views.

2. **Configuration Loading**: Implement functionality to load AWS Transfer configurations from either a YAML file or directly from user input. These configurations should include details like server settings, endpoint types, security policies, and user access controls.

3. **Validation Engine**: Utilize the 'aws-resource-validator-transfer' package to create a robust validation engine. This engine should validate the loaded configurations against predefined schemas provided by the package. Focus on validating key aspects such as encryption settings, protocol support, and IAM policy compliance.

4. **Feedback Mechanism**: Design a feedback mechanism that provides detailed reports on any configuration issues found during the validation process. This report should not only highlight problems but also suggest potential solutions or improvements.

5. **Interactive Mode**: Add an interactive mode where users can query specific parts of their configuration for validation without needing to run the entire validation process. This could involve checking individual server settings or user policies.

6. **Integration with AWS SDK**: Optionally, integrate your application with the AWS SDK to allow direct fetching of current AWS Transfer configurations for validation, enhancing its utility for ongoing compliance checks.

7. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. Consider adding options for verbose output, saving reports to files, and handling multiple configuration files at once.

By following these steps, you'll create a valuable tool that helps developers and administrators maintain secure and compliant AWS Transfer configurations.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!