aws-resource-validator-cloudcontrol

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity based on the analysis notes provided. However, the incomplete maintainer profile introduces a minor level of uncertainty.

  • No network calls detected
  • No shell execution patterns
  • Incomplete maintainer profile
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not engage in unauthorized secret collection.
  • Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some concern but not enough to conclusively identify it as malicious.

📦 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 (315 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-cloudcontrol 
Create a Python-based command-line utility named 'CloudControlChecker' that leverages the 'aws-resource-validator-cloudcontrol' package to validate AWS Cloud Control API resources. This tool will enable users to input specific resource types and configurations, and it will output whether these configurations adhere to AWS best practices and standards as defined by the package's Pydantic v2 models.

### Core Features:
1. **Resource Validation**: Users can specify a resource type and its configuration details, and the tool will validate if the provided configuration meets AWS standards.
2. **Detailed Feedback**: Upon validation, the tool should provide detailed feedback about any issues found in the configuration, suggesting corrections where possible.
3. **Integration with AWS Cloud Control API**: The tool should allow for direct interaction with the AWS Cloud Control API to fetch current resource states and compare them against the validation models.
4. **Configuration File Support**: Users can define multiple resources and their configurations in a YAML file, which the tool will read and validate all at once.
5. **Interactive Mode**: A simple interactive CLI mode where users can input resource details directly without needing to prepare a YAML file.
6. **Logging and Reporting**: The tool should log each validation attempt and generate a report summarizing the validation results for later review.

### Utilization of 'aws-resource-validator-cloudcontrol':
- Use the Pydantic v2 models provided by 'aws-resource-validator-cloudcontrol' to define the schema for various AWS Cloud Control API resources.
- Implement validation logic using these models to check if user-provided resource configurations match the expected structure and constraints.
- Leverage the package's capabilities to ensure that the validation process aligns with AWS best practices and standards, enhancing the reliability and security of AWS deployments.

💬 Discussion Feed

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