aws-resource-validator-workmail

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network, shell, and obfuscation activities but has incomplete author information and a single package from the maintainer, raising some suspicion.

  • Incomplete author information
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package is not likely involved in stealing secrets or credentials.
  • Metadata: The author information is incomplete and the maintainer has only one package, which may indicate a less experienced or potentially suspicious account.

📦 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-workmail 
Create a Python-based command-line tool named 'WorkMailInspector' that leverages the 'aws-resource-validator-workmail' package to validate and inspect AWS WorkMail resources. This tool will serve as a handy utility for system administrators and developers to ensure their WorkMail configurations meet specific criteria or standards. Here's a detailed outline of the steps and features you should include in your project:

1. **Project Setup**: Begin by setting up a virtual environment and installing necessary packages including 'aws-resource-validator-workmail'. Ensure you have the required AWS credentials configured for accessing WorkMail services.

2. **Resource Validation**: Implement a feature where users can input details of their WorkMail resources (e.g., organization ID, mail domain, etc.). Use the 'aws-resource-validator-workmail' package to validate these inputs against predefined schemas using Pydantic models. Display validation results indicating whether the resource details are correctly formatted and compliant.

3. **Resource Inspection**: Extend the tool to allow inspection of existing WorkMail resources. Fetch information about specified WorkMail resources from AWS and use the 'aws-resource-validator-workmail' models to parse and display this data in a user-friendly format.

4. **Custom Validation Rules**: Allow users to define custom validation rules based on business requirements. For example, they might want to ensure that all mail domains are verified or that certain organizational settings comply with company policies. Use the flexibility of Pydantic models to accommodate these custom rules.

5. **Report Generation**: Integrate functionality to generate reports summarizing the validation and inspection results. Users should be able to choose between different output formats such as plain text, CSV, or JSON.

6. **User Interface**: Design a simple yet effective command-line interface (CLI) that guides users through the process of validating and inspecting WorkMail resources. Include options for specifying input files, output formats, and custom validation rules.

7. **Error Handling**: Implement robust error handling mechanisms to manage potential issues like invalid input, network errors when fetching resource details, or issues with AWS credentials.

8. **Documentation**: Provide comprehensive documentation covering installation instructions, usage examples, and explanations of the tool's functionalities. Include sample commands and expected outputs to help new users get started quickly.

By following these steps and incorporating these features, your 'WorkMailInspector' tool will become an invaluable asset for managing and ensuring the integrity of AWS WorkMail resources.

💬 Discussion Feed

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