aws-resource-validator-shield

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity such as network calls, shell executions, or obfuscation. However, the incomplete maintainer profile and potential inactivity suggest a higher risk that needs further investigation.

  • Incomplete maintainer profile
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires them for functionality.
  • Shell: No shell execution patterns detected, indicating low risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The maintainer has an incomplete profile and appears to be 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 (297 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-shield 
Create a Python-based mini-application called 'ShieldGuard' which leverages the 'aws-resource-validator-shield' package to validate and manage AWS Shield resources. The application should provide users with the ability to input their AWS Shield configuration details and receive feedback on the validity and compliance of these resources according to best practices and AWS standards.

Step 1: Setup the Project Environment
- Initialize a new Python virtual environment.
- Install necessary packages including 'aws-resource-validator-shield', 'boto3' for AWS SDK, and 'pydantic' for data validation.

Step 2: Define Application Structure
- Create a main module that will serve as the entry point of the application.
- Develop separate modules for handling user input, validation logic, and output presentation.

Step 3: Implement Input Handling
- Design a simple command-line interface where users can input their AWS Shield resource configurations.
- Ensure that the application supports multiple types of AWS Shield resources such as protection groups and protection policies.

Step 4: Utilize 'aws-resource-validator-shield'
- Integrate 'aws-resource-validator-shield' to define and validate the structure of the AWS Shield resources based on Pydantic models provided by the package.
- Use the package's namespace extension capabilities to extend functionality without modifying its source code.

Step 5: Perform Validation Logic
- Validate the user inputs against the defined Pydantic models from 'aws-resource-validator-shield'.
- Check if the configurations meet AWS Shield best practices and standards.

Step 6: Output Results
- Display validation results to the user in a clear, understandable format.
- Provide suggestions for improvement if any part of the configuration does not comply with best practices.

Suggested Features:
- Integration with AWS SDK (boto3) to fetch current AWS Shield configurations and compare them with the validated configurations.
- Support for both online and offline validation modes - allowing users to validate configurations without needing to connect to AWS services.
- Detailed error messages pointing out specific issues with the configuration.
- A logging system to record validation activities and errors for future reference.

💬 Discussion Feed

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