aws-resource-validator-eks-auth

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity, such as network calls, shell executions, or credential harvesting. However, the metadata risk score is elevated due to the maintainer's author name being missing or very short, indicating potential issues with the package's provenance.

  • Metadata risk due to missing or short maintainer's author name
  • Unusual absence of network calls for an EKS-related tool
Per-check LLM notes
  • Network: No network calls detected, which is not necessarily suspicious but unusual for a tool interacting with AWS EKS.
  • Shell: No shell executions detected, which aligns with the expectation for a pure Python package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate use without secret theft concerns.
  • Metadata: The maintainer's author name is missing or very short and appears to be 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 (303 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-eks-auth 
Develop a Python-based utility named 'EKS Cluster Health Checker' that leverages the 'aws-resource-validator-eks-auth' package to validate and authenticate resources within Amazon EKS clusters. This tool should provide a comprehensive health check for EKS clusters by validating various aspects such as node status, pod status, service availability, and authentication mechanisms. The application will use Pydantic v2 models from the 'aws-resource-validator-eks-auth' package to ensure data integrity and consistency when handling AWS EKS authentication-related tasks.

Steps to Develop the Application:
1. Set up a virtual environment for the project and install necessary dependencies including 'aws-resource-validator-eks-auth', 'boto3', and 'requests'.
2. Use Pydantic v2 models from 'aws-resource-validator-eks-auth' to define schemas for EKS cluster configurations, node group definitions, and IAM roles associated with EKS.
3. Implement functions to connect to AWS EKS using 'boto3' and retrieve details about the clusters, nodes, and pods.
4. Validate the retrieved data against the defined schemas to ensure it conforms to expected standards.
5. Integrate authentication mechanisms provided by 'aws-resource-validator-eks-auth' to securely interact with EKS resources.
6. Create a user-friendly command-line interface (CLI) for the application where users can specify which EKS clusters to monitor and customize health check parameters.
7. Display detailed reports on the health status of each EKS component, including warnings and errors if any discrepancies are found during validation.
8. Ensure the application logs all activities for auditing purposes.

Suggested Features:
- Automated periodic health checks for specified EKS clusters.
- Detailed logging and reporting capabilities.
- Support for multiple AWS regions and accounts.
- Customizable threshold settings for health statuses.
- Integration with Slack or email alerts for critical issues.

This project aims to provide a robust solution for monitoring and maintaining the health of EKS clusters while ensuring secure interactions through proper authentication and validation processes.

💬 Discussion Feed

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