aws-resource-validator-eks

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risk factors but raises concerns due to incomplete author information and potential inactivity, suggesting it may be from an untrusted source.

  • Incomplete author information
  • Potential inactivity of the author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating the package does not execute system 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 they appear to be new or inactive, which raises some concern but not enough to conclusively determine 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-eks 
Develop a mini-application named 'EKS HealthChecker' using Python that leverages the 'aws-resource-validator-eks' package. This application will serve as a health monitoring tool for Amazon EKS clusters, providing insights into the overall health status of the cluster and its associated resources. The application should perform the following steps:

1. **Authentication**: Implement a secure method for authenticating users to access AWS services. Consider using environment variables or a configuration file for storing AWS credentials securely.
2. **Cluster Validation**: Use the 'aws-resource-validator-eks' package to validate the current state of the EKS cluster against predefined health criteria. Criteria may include node counts, instance types, and availability zones.
3. **Resource Analysis**: Analyze key resources within the EKS cluster such as nodes, services, deployments, and pods. For each resource type, provide a summary of their health status based on the validation models provided by 'aws-resource-validator-eks'.
4. **Alert System**: Integrate an alert system that notifies the user via email or SMS if any critical issues are detected during the validation process. The alert should include details about the issue and recommendations for remediation.
5. **User Interface**: Create a simple command-line interface (CLI) that allows users to initiate health checks, view the results, and manage alerts. The CLI should also support exporting the results to a CSV file for further analysis.
6. **Logging & Reporting**: Implement logging to capture all actions performed by the application and generate periodic reports summarizing the health status of the EKS cluster over time.

Suggested Features:
- Support for multiple EKS clusters
- Customizable health check intervals
- Integration with popular cloudwatch or other monitoring services
- Detailed error reporting and troubleshooting guides

In this project, the 'aws-resource-validator-eks' package plays a crucial role in defining and validating the health criteria for the EKS cluster. Its Pydantic v2 models will be used to ensure that the data retrieved from AWS is accurate and complete, facilitating robust health assessments.

💬 Discussion Feed

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