aws-resource-validator-dsql

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS dsql, 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 usage, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to incomplete author information and potential inactivity of the author's account.

  • Incomplete author information
  • Potential inactivity of the author's account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network access to function properly.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of 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 (291 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-dsql 
Create a Python-based CLI tool named 'AWS Resource Validator' that leverages the 'aws-resource-validator-dsql' package to validate AWS resources according to their respective schemas. This tool will allow users to input specific AWS resource configurations and receive validation feedback based on Pydantic models provided by the package. The application should include the following features:

1. **Resource Input Handling**: Users should be able to input AWS resource configurations either through command-line arguments or via a configuration file.
2. **Validation Logic**: Implement validation logic using the 'aws-resource-validator-dsql' package to ensure the input configurations adhere to the expected schema definitions.
3. **Feedback Mechanism**: Provide clear and concise feedback to the user regarding the validity of their resource configurations. Include suggestions for correcting any identified issues.
4. **Error Handling**: Ensure robust error handling is implemented to manage invalid inputs and unexpected errors gracefully.
5. **Extensibility**: Design the application in a way that allows for easy addition of support for new AWS resource types by simply updating the configuration without altering the core codebase.
6. **Documentation**: Create comprehensive documentation explaining how to use the tool, including examples and best practices.

The main goal is to provide a reliable and user-friendly utility for developers and DevOps engineers to quickly validate their AWS resource configurations before deploying them.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!