aws-resource-validator-snowball

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network, shell, obfuscation, and credential risks. However, the maintainer's new or inactive account and lack of detailed metadata raise concerns about its legitimacy.

  • New or inactive maintainer account
  • Missing author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or sensitive information being stolen.
  • Metadata: The maintainer has a new or inactive account with limited package history and missing author information, which could indicate potential risk.

📦 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-snowball 
Develop a Python-based command-line tool named 'SnowballValidator' that leverages the 'aws-resource-validator-snowball' package to validate and manage AWS Snowball resources. This tool will serve as a comprehensive utility for developers and system administrators to ensure their AWS Snowball configurations adhere to best practices and standards. The application should include the following core functionalities:

1. **Resource Validation**: Users should be able to input details about their AWS Snowball jobs, devices, and other relevant resources. The tool will then use Pydantic v2 models provided by the 'aws-resource-validator-snowball' package to validate these inputs against predefined schemas.
2. **Configuration Management**: Provide options for users to save validated resource configurations to a local file or load existing configurations for validation and management purposes.
3. **Report Generation**: After validation, generate a detailed report that highlights any issues found during the validation process. This report should also include recommendations for correcting any identified problems.
4. **Interactive Mode**: Implement an interactive mode where users can input information one field at a time, receiving immediate feedback on the validity of each input.
5. **Integration with AWS SDKs**: Optionally, integrate with the AWS SDK for Python (Boto3) to automatically fetch and validate current AWS Snowball resources.
6. **Customization Support**: Allow users to define custom validation rules and schemas based on their specific requirements.

The 'aws-resource-validator-snowball' package will be utilized extensively throughout the development process. It will provide the necessary Pydantic models to define the structure of AWS Snowball resources, ensuring that all inputs are correctly formatted and adhere to AWS standards. Additionally, the package will facilitate the creation of validators that can be easily extended or customized to meet the needs of different use cases.

💬 Discussion Feed

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