aws-resource-validator-cognito-identity

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk with no network calls, shell executions, obfuscations, or credential harvesting activities. The metadata risk is slightly elevated due to incomplete maintainer information, but this alone is insufficient to conclude malicious intent.

  • No network calls detected.
  • Incomplete maintainer information raises minor suspicion.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete and may be 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 (327 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-cognito-identity 
Create a Python-based mini-application that acts as a user-friendly validator for AWS Cognito Identity resources. This tool will leverage the 'aws-resource-validator-cognito-identity' package to validate various configurations related to AWS Cognito Identity pools. Your application should include the following functionalities:

1. **User Input Interface**: Provide a simple command-line interface where users can input their AWS Cognito Identity pool configurations.
2. **Validation Logic**: Use the Pydantic v2 models provided by 'aws-resource-validator-cognito-identity' to validate the input configurations against predefined schemas.
3. **Error Reporting**: Clearly display any validation errors encountered during the process, including specific fields that failed validation.
4. **Success Confirmation**: If all configurations are valid, inform the user that their settings are correctly formatted and ready for deployment.
5. **Optional Features**:
   - Add support for reading configuration files from local storage (e.g., JSON).
   - Implement a feature to automatically correct minor formatting issues (if possible).
   - Include documentation and examples on how to use the application effectively.

Your task is to outline the main steps required to develop this application, focusing on how the 'aws-resource-validator-cognito-identity' package integrates into your workflow. Consider the importance of clear error messages and user guidance in making this tool accessible and useful for developers working with AWS Cognito Identity.

💬 Discussion Feed

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