aws-resource-validator-emr-containers

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, obfuscation, and credential handling. However, the metadata risk score is elevated due to incomplete author information and a single maintained package, raising suspicion about the maintainer's credibility.

  • Incomplete author information
  • Single maintained package
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package that does not require external API interactions.
  • 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 safe handling of secrets and credentials.
  • Metadata: The author's information is incomplete and the maintainer has only one package, which could indicate a less experienced or potentially suspicious account.

📦 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 (321 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-emr-containers 
Your task is to develop a command-line tool named 'EMR Containers Validator' which will serve as a robust utility for developers and DevOps engineers working with Amazon EMR on EKS (Elastic Kubernetes Service). This tool will validate configurations related to EMR Containers against the AWS-provided schema definitions using the 'aws-resource-validator-emr-containers' package. The tool should be designed to ensure that the provided configuration files are valid according to AWS standards, helping users avoid common mistakes and ensuring their EMR Containers setup is correct before deployment.

Step-by-Step Guide:
1. Install the required Python packages including 'aws-resource-validator-emr-containers'.
2. Create a CLI interface using Python's argparse module allowing users to specify input files and perform validation.
3. Implement a function to load and parse configuration files (e.g., JSON/YAML) using appropriate libraries.
4. Use 'aws-resource-validator-emr-containers' to validate these configurations against the predefined schemas.
5. Display validation results clearly indicating whether each file passed or failed validation along with any error messages.
6. Add support for multiple configuration files to be validated at once.
7. Optionally, implement a feature to automatically fix minor issues detected during validation if possible.
8. Write unit tests to ensure your code works as expected under various scenarios.
9. Package your tool into a distributable format such as a Python wheel (.whl).
10. Document your tool thoroughly including setup instructions, usage examples, and troubleshooting tips.

Suggested Features:
- Support for both JSON and YAML configuration formats.
- Ability to specify custom schemas if needed.
- Detailed logging and reporting capabilities.
- Integration with CI/CD pipelines for automated validation.
- Option to output results in different formats like JSON, CSV, or HTML for further analysis.

How 'aws-resource-validator-emr-containers' is Utilized:
This package provides Pydantic v2 models corresponding to the EMR Containers service API. These models can be used to validate configuration data against the expected structure and types defined by AWS. By leveraging these models, your tool can ensure that the provided configurations adhere strictly to AWS specifications, thus reducing errors and improving the reliability of EMR Containers setups.

💬 Discussion Feed

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