aws-resource-validator-cloudsearchdomain

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell, and obfuscation activities, with no detected malicious behavior. However, the metadata risk due to the maintainer's account status and lack of author information warrants further scrutiny.

  • Low network, shell, and obfuscation risks
  • Metadata risk due to new/inactive maintainer account and lack of 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 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 a new or inactive account and lacks a proper author name, which raises some suspicion but does not 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 (330 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-cloudsearchdomain 
Create a Python-based utility named 'CloudSearchValidator' that leverages the 'aws-resource-validator-cloudsearchdomain' package to validate and manage AWS CloudSearch domains. This tool will serve as a comprehensive solution for developers and system administrators who need to ensure their CloudSearch domain configurations adhere to best practices and standards. The application should include the following functionalities:

1. **Domain Configuration Validation**: Implement a feature where users can input a CloudSearch domain configuration file (in JSON format). The utility will use the Pydantic models from 'aws-resource-validator-cloudsearchdomain' to validate the configuration against predefined schemas. Provide feedback on any errors or warnings found during validation.

2. **Configuration Suggestions**: Based on the validated configuration, offer suggestions for improving the domain setup. For example, recommending specific index fields or scaling options based on typical use cases.

3. **Comparison Tool**: Allow users to compare two different CloudSearch domain configurations. Highlight differences between them, helping users understand how changes might affect performance or functionality.

4. **Integration with AWS SDK**: Integrate the utility with the AWS SDK for Python (boto3) to automatically fetch and validate the current configuration of a CloudSearch domain. This feature will enable real-time analysis without manual intervention.

5. **Report Generation**: After performing validations and comparisons, generate a detailed report summarizing findings. The report should include sections such as configuration validity, suggestions for improvement, and a comparison summary if applicable.

6. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the utility. Ensure that commands are intuitive and provide clear instructions on usage.

To achieve these goals, you will extensively utilize the 'aws-resource-validator-cloudsearchdomain' package. This includes importing its Pydantic models to define expected schema structures, validating user inputs against these models, and leveraging any additional utilities provided by the package for enhanced functionality.

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