aws-resource-validator-iotwireless

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various categories, but the metadata risk due to the maintainer's new or inactive account raises concerns about potential supply-chain attacks.

  • Metadata risk due to new/inactive maintainer account
  • Limited package history
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating a low risk of unauthorized access or data theft.
  • Metadata: The maintainer has a new or inactive account with limited package history, raising some suspicion but not definitive evidence of 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 (312 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-iotwireless 
Create a Python-based command-line tool named 'IoTWirelessValidator' that leverages the 'aws-resource-validator-iotwireless' package to validate AWS IoT Wireless resources against Pydantic v2 models. This tool will serve as a robust validator for developers working with AWS IoT Wireless services, ensuring their configurations adhere to best practices and standards set by AWS.

### Project Goals:
1. **Resource Validation**: Implement functionality to validate various AWS IoT Wireless resources such as DeviceProfile, ServiceProfile, and NetworkAnalyzerConfiguration using Pydantic models provided by 'aws-resource-validator-iotwireless'.
2. **User-Friendly Interface**: Design a simple yet effective command-line interface (CLI) that allows users to specify the resource type they wish to validate and provide necessary configuration details.
3. **Error Reporting**: Provide detailed error messages when validation fails, highlighting specific issues with the configuration data.
4. **Integration Testing**: Include a suite of test cases that cover common scenarios and edge cases to ensure the tool works as expected across different configurations.
5. **Documentation**: Write comprehensive documentation explaining how to use the CLI, including examples and best practices for resource validation.

### Suggested Features:
- **Dynamic Resource Selection**: Allow users to select which resource type they want to validate from a list of supported types.
- **Configuration File Support**: Enable reading resource configurations from a file instead of inputting them directly through the CLI.
- **Interactive Mode**: Offer an interactive mode where users can input configuration details one field at a time.
- **Validation Reports**: Generate validation reports that summarize the results, indicating whether the resource passed or failed validation.
- **Custom Error Handling**: Implement custom error handling mechanisms to provide more meaningful feedback when validation fails.

### Utilization of 'aws-resource-validator-iotwireless':
- Import and utilize Pydantic models from 'aws-resource-validator-iotwireless' to define schemas for AWS IoT Wireless resources.
- Use these models to validate user-provided configurations against the defined schemas.
- Leverage Pydantic's built-in validation capabilities to handle complex data structures and constraints efficiently.
- Integrate Pydantic's error reporting system to enhance the tool's usability and provide clear guidance on how to correct invalid configurations.

This project aims to streamline the process of validating AWS IoT Wireless resources, making it easier for developers to ensure their configurations meet AWS standards and requirements.

💬 Discussion Feed

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