aws-resource-validator-rds

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package presents a low risk profile with no direct threats identified, however, the incomplete maintainer profile and new/inactive account status raise concerns about potential supply-chain risks.

  • Incomplete maintainer profile
  • New or inactive maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and a new or inactive account, which raises some suspicion but not enough to conclusively determine 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 (288 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-rds 
Create a Python-based CLI tool named 'RDSHealthChecker' using the 'aws-resource-validator-rds' package. This tool will serve as a comprehensive health checker for Amazon RDS instances. Your goal is to develop a robust application that not only validates the current state of RDS instances but also provides actionable insights and recommendations based on the validation results.

### Key Features:
1. **Instance Validation**: Utilize the 'aws-resource-validator-rds' package to validate the configuration and status of specified RDS instances. Ensure that the validation covers critical aspects such as security group settings, parameter group configurations, and instance availability.
2. **Health Reports**: Generate detailed health reports that include both validation outcomes and qualitative assessments of each instance's health. These reports should be easily readable and highlight any potential issues or areas for improvement.
3. **Recommendations**: For each identified issue, provide specific recommendations on how to resolve the problem or improve the instance's configuration. Recommendations should be tailored to the specific context of the RDS instance being checked.
4. **Customizable Filters**: Allow users to specify filters for validation checks. Users should be able to choose which aspects of their RDS instances they want to focus on during the validation process.
5. **Integration with AWS SDK**: Integrate your tool with the AWS SDK for Python (Boto3) to automate the fetching of RDS instance data directly from AWS services. This ensures real-time and accurate validation without manual intervention.
6. **Command Line Interface**: Design a user-friendly command line interface (CLI) for interacting with 'RDSHealthChecker'. Commands should allow users to initiate health checks, view reports, and manage settings efficiently.

### Utilizing 'aws-resource-validator-rds':
- Use the provided Pydantic models within 'aws-resource-validator-rds' to define and validate the structure of your RDS instance configurations. This will help ensure that your validation logic is comprehensive and adheres to AWS best practices.
- Implement custom validators based on the Pydantic models to extend functionality beyond basic validation. For example, you could create validators to check if certain parameters are set according to recommended values.
- Leverage the package's namespace extension capabilities to organize your codebase logically and maintain a clean separation between your custom logic and the AWS-specific validation models.

💬 Discussion Feed

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