aws-resource-validator-firehose

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS firehose, 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, shell, obfuscation, and credential handling. However, the metadata risk score is elevated due to sparse author details and possibly inactive or new author accounts, suggesting potential supply-chain risks.

  • Elevated metadata risk due to sparse author details.
  • Possibly inactive or new author account.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package not requiring 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.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author details are sparse and the account seems new or inactive, raising some concerns but not enough to conclude 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-firehose 
Create a Python-based utility that validates AWS Firehose delivery streams configurations using the 'aws-resource-validator-firehose' package. This utility will serve as a robust tool for developers and DevOps engineers to ensure their AWS Firehose resources are correctly configured before deployment. Here’s a detailed breakdown of what your utility should accomplish:

1. **Setup**: Begin by installing the necessary packages including 'aws-resource-validator-firehose', 'boto3' for interacting with AWS services, and 'Pydantic' for model validation.

2. **Configuration Loading**: Allow users to load AWS Firehose delivery stream configurations from either a JSON file or directly through command-line arguments. Ensure these configurations adhere to the structure expected by the 'aws-resource-validator-firehose' package.

3. **Validation Process**: Utilize the 'aws-resource-validator-firehose' package to validate the loaded configuration against the Pydantic models provided. This process should include checking for completeness, correctness, and adherence to AWS Firehose specifications.

4. **Error Reporting**: Implement a user-friendly error reporting system that clearly indicates any issues found during the validation process. Each error message should specify the field where the issue occurred and provide guidance on how to correct it.

5. **Integration with AWS**: Extend the utility to not only validate configurations locally but also to deploy valid configurations directly to AWS Firehose using 'boto3'. Ensure proper error handling and logging during the deployment process.

6. **CLI Interface**: Develop a simple Command Line Interface (CLI) for the utility that supports various commands such as 'validate', 'deploy', and 'help'. Make sure the CLI is intuitive and easy to use.

7. **Documentation**: Provide comprehensive documentation detailing how to install, configure, and use the utility. Include examples of both valid and invalid configurations to help users understand best practices.

8. **Testing**: Write unit tests for your validation logic and integration tests for the AWS deployment functionality to ensure reliability and robustness of your utility.

This project aims to streamline the process of managing AWS Firehose resources, making it easier for teams to maintain high standards of configuration quality and operational efficiency.

💬 Discussion Feed

Leave a comment

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