aws-resource-validator-redshift

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, obfuscation, and credential usage, but the incomplete author information and potentially inactive maintainer account raise some concerns about its legitimacy.

  • Incomplete author information
  • Potentially inactive maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package is intended to interact with AWS Redshift.
  • Shell: No shell execution patterns detected, which is normal for a package that does not require system-level operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete and the account seems 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-redshift 
Create a Python-based command-line tool named 'RedshiftAudit' that leverages the 'aws-resource-validator-redshift' package to audit Redshift cluster configurations. This tool should provide users with a way to validate and check the compliance of their AWS Redshift clusters against predefined standards or best practices. The application should be designed to be user-friendly and efficient, offering quick insights into potential issues or improvements needed within their clusters.

**Core Features:**
1. **Cluster Validation**: Users should be able to input details about their Redshift cluster (e.g., node type, number of nodes, maintenance window, etc.) via command line arguments. The tool will then use the 'aws-resource-validator-redshift' package to validate these inputs against a set of predefined rules or standards.
2. **Report Generation**: After validation, the tool should generate a comprehensive report detailing any non-compliance issues found during the audit process. This report should include suggestions on how to correct these issues to meet the desired standards.
3. **Custom Rules Support**: Allow users to define their own custom rules for cluster validation through a configuration file or command line parameters. These rules should be validated using the 'aws-resource-validator-redshift' package.
4. **Integration with AWS CLI**: The tool should integrate seamlessly with the AWS Command Line Interface (CLI), allowing it to fetch current cluster configurations directly from AWS services if the necessary permissions are provided.
5. **User-Friendly Interface**: Ensure the tool provides clear and concise feedback to users, both through console output and in the generated reports. It should also handle errors gracefully, providing meaningful error messages and guidance on resolving issues.

**How 'aws-resource-validator-redshift' Package is Utilized:**
- The package's Pydantic models will be used to define the structure of the Redshift cluster configurations accepted by the tool.
- These models will also serve as the basis for validating the input data against the predefined rules.
- Custom rules defined by users will be validated against the same Pydantic models to ensure they adhere to the expected schema and logic.

Your task is to design and implement this tool, ensuring all core features are functional and integrated smoothly. Additionally, write comprehensive documentation for the tool, including setup instructions, usage examples, and explanations of how each feature works.

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