aws-resource-validator-greengrass

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risk factors but the maintainer's metadata is concerning due to a lack of detailed author information and potentially inactive status.

  • Low risk in terms of network, shell, obfuscation, and credential handling.
  • Suspicious maintainer metadata.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, which raises some suspicion but does not conclusively 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 (309 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-greengrass 
Create a Python-based command-line tool named 'GreengrassValidator' that leverages the 'aws-resource-validator-greengrass' package to validate AWS Greengrass resource configurations. This tool should be able to read configuration files from local storage, validate them against the Pydantic v2 models provided by the package, and output validation results indicating whether the resources are correctly configured according to AWS Greengrass standards.

### Features:
- **Configuration File Parsing**: The tool should support parsing multiple types of configuration files (e.g., JSON, YAML).
- **Validation Reporting**: Provide a detailed report on each resource's validation status, including any errors or warnings detected.
- **Custom Validation Rules**: Allow users to define custom validation rules beyond the default ones provided by the package.
- **Integration with AWS CLI**: Optionally integrate with the AWS Command Line Interface (CLI) to fetch and validate live configurations from an AWS Greengrass deployment.
- **User-Friendly Output**: Ensure the output is user-friendly, displaying validation results in a structured format like JSON or plain text.

### Steps to Build the Tool:
1. **Setup Project Structure**: Initialize a new Python project and install necessary dependencies, including 'aws-resource-validator-greengrass'.
2. **Read Configuration Files**: Implement functionality to read and parse configuration files from specified paths.
3. **Validate Resources**: Use the Pydantic models from 'aws-resource-validator-greengrass' to validate the parsed configurations.
4. **Generate Reports**: Develop a reporting mechanism to display validation results clearly.
5. **Custom Validation**: Add support for custom validation rules that users can specify.
6. **AWS Integration**: If time allows, extend the tool to interact with the AWS CLI for fetching and validating live configurations.
7. **Testing and Documentation**: Write tests to ensure all features work as expected and document the usage of the tool thoroughly.

This project aims to provide developers with a robust tool for ensuring their AWS Greengrass resources are correctly configured, enhancing deployment reliability and security.

💬 Discussion Feed

Leave a comment

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