aws-resource-validator-voice-id

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risks across network, shell, obfuscation, and credential fronts, but the incomplete author metadata and potentially inactive account raise concerns about potential supply-chain risks.

  • Incomplete author metadata
  • Potentially inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not engage in suspicious activities related to secret or credential theft.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not enough to conclude 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-voice-id 
Develop a mini-application named 'VoiceIDResourceChecker' that leverages the 'aws-resource-validator-voice-id' Python package to validate and manage AWS Voice ID resources efficiently. This tool will serve as a utility for developers and system administrators to ensure their AWS Voice ID configurations adhere to best practices and are correctly implemented. Here’s a detailed plan on how to build this application:

1. **Setup Project Environment**: Initialize a new Python project and install the required dependencies including 'aws-resource-validator-voice-id'. Ensure your development environment supports Python 3.8 or later.

2. **Define Application Scope**: The application will primarily focus on validating AWS Voice ID resources based on predefined schemas provided by the 'aws-resource-validator-voice-id' package. It should also offer functionality to create, update, and delete Voice ID resources if needed.

3. **Utilize Pydantic Models**: Use the Pydantic v2 models from 'aws-resource-validator-voice-id' to define the structure of AWS Voice ID resources such as domains, streams, and other related entities. These models will help in validating resource configurations before deployment.

4. **Implement Validation Logic**: Write functions within the application that use these Pydantic models to validate input data against the schema definitions. For example, when creating a new domain, the application should check if the provided parameters comply with the expected format and constraints.

5. **Add CRUD Operations**: Extend the application to include basic CRUD (Create, Read, Update, Delete) operations for managing Voice ID resources. Each operation should utilize the validation logic to ensure data integrity.

6. **Integrate with AWS Services**: Integrate the application with AWS services via Boto3 or similar SDKs to perform actual resource management actions after validation. This step involves authenticating with AWS using IAM roles or access keys.

7. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with the application. Commands like 'validate', 'create', 'update', and 'delete' should be available along with options to specify resource types and parameters.

8. **Testing and Documentation**: Implement unit tests to cover all functionalities of the application. Ensure thorough testing of both the validation logic and the interaction with AWS services. Additionally, provide comprehensive documentation on how to set up the application, use its commands, and troubleshoot common issues.

9. **Security Considerations**: Address security concerns such as secure storage of credentials, encryption of sensitive data, and proper error handling to prevent information leakage.

By following these steps, you'll create a robust, user-friendly tool that not only validates AWS Voice ID resources but also helps in maintaining them effectively.

💬 Discussion Feed

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