aws-resource-validator-pinpoint

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious intent with low risks across all categories except metadata, where the author's information is incomplete. This raises some suspicion but does not conclusively indicate a supply-chain attack.

  • Low risk scores across all categories.
  • Incomplete author information increases 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 no immediate risk of command injection or execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and they 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 (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-pinpoint 
Create a Python-based utility that leverages the 'aws-resource-validator-pinpyoint' package to validate and manage AWS Pinpoint resources. Your task is to build a command-line tool that allows users to validate their AWS Pinpoint configurations against Pydantic v2 models provided by the package. This utility should offer several key functionalities:

1. **Configuration Validation**: Users should be able to input a JSON configuration file representing their AWS Pinpoint setup. The utility will use the Pydantic models from 'aws-resource-validator-pinpoint' to validate this configuration.
2. **Resource Management**: Extend the utility to include commands for listing, creating, updating, and deleting specific AWS Pinpoint resources based on the validated configuration.
3. **Error Reporting**: If the configuration fails validation, the utility should provide detailed error messages indicating which parts of the configuration are invalid and why.
4. **Integration with AWS CLI**: Ensure the utility can interact seamlessly with the AWS Command Line Interface (CLI), allowing users to authenticate via AWS CLI credentials and perform actions directly through the utility.
5. **Logging and Debugging**: Implement logging capabilities to help users track the operations performed by the utility and debug any issues.
6. **Help and Documentation**: Include comprehensive help documentation within the utility, guiding users on how to use each feature and what types of configurations are supported.

The 'aws-resource-validator-pinpoint' package will be crucial for defining the structure of AWS Pinpoint resources and ensuring that user-provided configurations adhere to these structures. Use this package to create robust validation logic and ensure that all interactions with AWS Pinpoint resources are well-formed and compliant.

💬 Discussion Feed

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