aws-resource-validator-acm-pca

v2.0.3 suspicious
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network, shell, obfuscation, and credential misuse. However, the incomplete author information and potentially new or inactive account raise concerns about its origin.

  • Incomplete author information and possibly new/inactive account.
  • Low risk in terms of network, shell, obfuscation, and credential misuse.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands that could pose a risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The author's information is incomplete and the account seems 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 (300 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-acm-pca 
Create a command-line utility named 'CertValidator' using Python that leverages the 'aws-resource-validator-acm-pca' package to validate and manage AWS ACM PCA (Certificate Manager Private Certificate Authority) resources. This tool should allow users to perform the following actions:

1. **Validate Certificates**: Users can input details of their AWS ACM PCA certificates, and the tool will use Pydantic v2 models from the 'aws-resource-validator-acm-pca' package to validate these certificates against AWS standards.
2. **List Certificates**: The utility should provide a feature to list all certificates under a specified AWS account and region.
3. **Generate Reports**: It should generate comprehensive reports on certificate health, including expiration dates, status, and any issues found during validation.
4. **Sync Operations**: Allow users to sync certificate data between different regions within the same AWS account.
5. **Integration with AWS CLI**: The tool should integrate seamlessly with AWS CLI commands, allowing users to directly import and export certificate data.
6. **Custom Validation Rules**: Enable users to define custom validation rules based on their specific requirements.
7. **User-Friendly Interface**: Ensure the interface is intuitive and user-friendly, guiding users through the process of validating and managing their certificates.

To achieve these functionalities, the 'aws-resource-validator-acm-pca' package will be extensively utilized for its Pydantic v2 models to ensure that all certificate data adheres to AWS standards and best practices. Additionally, the package will help in structuring the data efficiently, making it easier to implement the above features. The final product should not only validate certificates but also provide valuable insights into their management, helping users maintain compliance and security.

💬 Discussion Feed

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