aws-resource-validator-cloudsearch

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of malicious intent based on the analysis of network, shell, obfuscation, and credential risks. However, the incomplete maintainer information and potential inactivity warrant further investigation.

  • Incomplete maintainer information
  • Potential inactivity of the maintainer
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 no immediate risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting that the package is likely not involved in malicious credential theft activities.
  • Metadata: The maintainer's author information is incomplete and they may be new or inactive, which raises some suspicion but not enough to conclusively indicate 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 (312 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-cloudsearch 
Create a Python-based CLI tool named 'CloudSearchValidator' that leverages the 'aws-resource-validator-cloudsearch' package to validate AWS CloudSearch resources. This tool should be able to read configuration files for CloudSearch domains and indices, and provide feedback on whether these configurations adhere to best practices and are syntactically correct according to AWS CloudSearch specifications.

### Features:
1. **Configuration Parsing**: Accept input from YAML or JSON configuration files specifying CloudSearch domain and index configurations.
2. **Validation Logic**: Use the 'aws-resource-validator-cloudsearch' package to validate these configurations against Pydantic v2 models provided by the package. Ensure that all required fields are present, and that all data types match expected types.
3. **Error Reporting**: Provide detailed error messages when a configuration fails validation. Include suggestions on how to fix the issues if possible.
4. **Success Confirmation**: If the configuration passes validation, inform the user that the configuration is valid and ready to be deployed.
5. **CLI Interface**: Implement a command-line interface where users can specify the path to their configuration file and optionally choose the output format (e.g., JSON, plain text).
6. **Optional Documentation**: Generate a simple HTML report detailing the validation process and results, which can be saved locally or displayed in a browser.

### Utilization of 'aws-resource-validator-cloudsearch':
- Import and use the Pydantic models provided by 'aws-resource-validator-cloudsearch' to define schemas for validating CloudSearch domain and index configurations.
- Utilize Pydantic's validation capabilities to ensure that the configurations conform to AWS CloudSearch standards.
- Leverage any additional utilities or functions provided by the package to enhance the validation logic or improve error reporting.

💬 Discussion Feed

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