aws-resource-validator-workspaces-web

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the metadata risk score is slightly elevated due to incomplete author information.

  • No network calls or shell executions detected.
  • Incomplete author information suggests a lack of transparency.
Per-check LLM notes
  • Network: No network call patterns detected, which aligns with the typical behavior for a package focused on local validation of AWS resources.
  • Shell: No shell execution patterns detected, which is normal and expected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, suggesting potential lack of transparency.

📦 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 (321 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-workspaces-web 
Develop a Python-based utility called 'WorkspaceWebInspector' that leverages the 'aws-resource-validator-workspaces-web' package to validate and audit AWS WorkSpaces Web resources. This tool will provide developers and DevOps engineers with a straightforward way to ensure their AWS WorkSpaces Web configurations adhere to best practices and compliance standards. Here’s a detailed breakdown of what your application should achieve:

1. **Resource Validation**: Implement a feature that takes a JSON input representing AWS WorkSpaces Web configurations and validates it against predefined schemas using the Pydantic models provided by the 'aws-resource-validator-workspaces-web' package. Ensure that all necessary fields are present and conform to expected data types and constraints.

2. **Compliance Check**: Extend the validation feature to include a compliance check module. This module should compare the validated configuration against a set of predefined compliance rules (e.g., multi-factor authentication requirements, secure tunneling settings). It should output a report indicating whether the configuration meets these standards.

3. **Audit Log Generation**: Integrate functionality to log each validation and compliance check performed on a resource. These logs should include timestamps, user IDs (if available), and details about the configuration being audited. Logs should be stored in a structured format such as JSON and saved locally or to a specified S3 bucket.

4. **Interactive CLI Interface**: Design a command-line interface (CLI) for 'WorkspaceWebInspector'. Users should be able to interact with the tool through commands like `validate`, `check_compliance`, and `audit`. The CLI should support both interactive and batch processing modes.

5. **Documentation & Examples**: Provide comprehensive documentation for the tool, including setup instructions, API usage examples, and common use cases. Include sample JSON configurations for testing purposes.

To utilize the 'aws-resource-validator-workspaces-web' package effectively, you'll need to:
- Import the necessary Pydantic models from the package to define the schema for AWS WorkSpaces Web configurations.
- Use these models to validate input configurations against the defined schemas.
- Leverage the compliance rules included in the package or extend them based on specific organizational requirements.
- Ensure that the audit logging mechanism captures all relevant information for each operation performed by the tool.

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