aws-resource-validator-license-manager

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risk factors but has incomplete author details and potentially inactive author account, raising suspicion about its legitimacy.

  • Incomplete author details
  • Potentially inactive author account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package is expected to interact with external services like AWS.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author details are incomplete and the account seems new or inactive, which could indicate potential risk.

📦 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 (324 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-license-manager 
Create a Python-based command-line tool that leverages the 'aws-resource-validator-license-manager' package to validate and manage AWS License Manager resources efficiently. This tool will serve as a robust solution for IT administrators and DevOps engineers who need to ensure compliance and optimal management of their AWS resources.

### Key Features:
1. **Resource Validation**: Implement functionality to validate various AWS License Manager resources such as licenses, rules, and associations against predefined schemas using Pydantic models provided by the 'aws-resource-validator-license-manager' package.
2. **Compliance Reporting**: Generate comprehensive reports detailing any discrepancies or non-compliant resources identified during validation. These reports should be exportable in CSV and JSON formats for further analysis.
3. **Interactive CLI**: Design an intuitive command-line interface (CLI) that allows users to specify resource types, filter results based on criteria like region, account ID, or status, and view real-time feedback on validation processes.
4. **Integration with AWS**: Ensure seamless integration with AWS services through Boto3, enabling direct access to License Manager data for validation purposes without requiring manual input of resource details.
5. **Customization Options**: Allow users to customize validation rules and reporting templates according to their specific needs, supporting both pre-defined templates and user-generated ones.
6. **Error Handling & Logging**: Incorporate advanced error handling mechanisms and logging capabilities to track all operations performed by the tool, aiding in troubleshooting and auditing.

### Steps to Build the Application:
1. **Set Up Your Development Environment**: Install necessary dependencies including 'aws-resource-validator-license-manager', Boto3, and other required libraries. Configure your AWS credentials for programmatic access.
2. **Define Core Functions**: Develop functions responsible for fetching AWS License Manager resources, applying validation rules using Pydantic models from 'aws-resource-validator-license-manager', and generating reports based on validation outcomes.
3. **Build the CLI Interface**: Utilize Click or another suitable library to create a user-friendly CLI that accepts commands and arguments relevant to resource validation tasks.
4. **Implement Customization Capabilities**: Enable customization options within the CLI, allowing users to tailor validation rules and report formats.
5. **Test Thoroughly**: Conduct rigorous testing across different scenarios to ensure reliability and accuracy of validations and reports.
6. **Document & Publish**: Write detailed documentation covering installation instructions, usage examples, and best practices. Consider publishing your tool on platforms like GitHub for broader adoption.

By following these steps and incorporating the specified features, you'll develop a powerful, flexible, and user-centric tool for managing AWS License Manager resources effectively.

💬 Discussion Feed

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