aws-resource-validator-sdb

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various checks but has incomplete author information and potentially inactive maintenance, which collectively raise concerns about its origin and ongoing support.

  • Incomplete author information
  • Potentially inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
  • Metadata: The author information is incomplete and the maintainer seems to be new or inactive, which raises some suspicion but not enough to conclude 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 (288 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-sdb 
Create a command-line utility named 'SDBInspector' that leverages the 'aws-resource-validator-sdb' package to validate and manage SimpleDB resources. This tool will allow users to interact with their AWS SimpleDB domain and items in a more secure and structured manner. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Ensure your development environment has Python 3.8+ installed along with the necessary AWS CLI setup. Install 'aws-resource-validator-sdb' via pip.

2. **Project Structure**: Organize your project into modules such as 'cli', 'validator', and 'utils'. The 'cli' module will handle user input and output, 'validator' will use 'aws-resource-validator-sdb' to validate resources, and 'utils' will contain helper functions.

3. **CLI Interface**: Develop a simple yet powerful CLI interface allowing users to perform actions like listing domains, adding items to a domain, updating item attributes, and deleting items or domains. Each action should prompt for necessary inputs and display results or errors clearly.

4. **Resource Validation**: Utilize 'aws-resource-validator-sdb' to ensure all resources (domains and items) adhere to the defined schema before any action is taken. This includes validating domain names, item names, attribute names/values, etc., ensuring they meet AWS SimpleDB constraints.

5. **Error Handling**: Implement robust error handling to catch and report any issues encountered during resource validation or interaction with AWS SimpleDB. Errors should be descriptive and actionable, guiding users on how to resolve them.

6. **Logging and Reporting**: Add logging capabilities to track operations and potential issues. Provide options for users to generate reports summarizing recent activities or encountered problems.

7. **Security Considerations**: Since the tool interacts with AWS services, ensure that it follows best practices for security, including using IAM roles/credentials securely and not exposing sensitive information unnecessarily.

8. **Testing**: Write unit tests for each function in your utility to ensure reliability. Include test cases for both valid and invalid scenarios to cover edge cases thoroughly.

9. **Documentation**: Finally, create comprehensive documentation explaining how to install, configure, and use the tool effectively. Include examples and FAQs to assist new users.

By following these steps, you’ll develop a robust and user-friendly tool that enhances the management and security of AWS SimpleDB resources.

💬 Discussion Feed

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