aws-resource-validator-pcs

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various categories but raises suspicion due to the maintainer's new or inactive account and lack of proper identification.

  • Maintainer has a new or inactive account
  • Lack of proper author name
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 likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some suspicion but not enough to conclusively identify it as malicious.

📦 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-pcs 
Create a command-line tool named 'AWS Resource Validator' using Python that leverages the 'aws-resource-validator-pcs' package. This tool will serve as a validator for AWS resource configurations, ensuring they adhere to best practices and comply with the policies defined within the 'aws-resource-validator-pcs'. The application should be user-friendly, allowing users to input their AWS resource configuration files and receive feedback on whether these resources meet the predefined standards.

### Key Features:
1. **Configuration File Input:** Users should be able to provide AWS resource configuration files (e.g., CloudFormation templates, Terraform configurations) as input to the tool.
2. **Validation Against Policies:** Utilize the 'aws-resource-validator-pcs' package to validate the provided configurations against a set of predefined policies. These policies could include security best practices, cost optimization strategies, and compliance checks.
3. **Detailed Validation Reports:** After validation, the tool should generate a detailed report highlighting any issues found in the configuration files. This report should include recommendations for fixing any non-compliant elements.
4. **Interactive Mode:** Offer an interactive mode where users can explore different aspects of their configuration files, such as specific resource types, and get real-time validation feedback.
5. **Custom Policy Support:** Allow users to define their own validation policies and use them alongside the predefined ones from 'aws-resource-validator-pcs'.
6. **Integration with CI/CD Pipelines:** Provide documentation on how to integrate the tool into CI/CD pipelines, ensuring that all AWS resource configurations are validated before deployment.

### Implementation Steps:
1. **Setup Project Environment:** Initialize a new Python project and install necessary dependencies, including 'aws-resource-validator-pcs'.
2. **Design User Interface:** Develop a simple yet effective command-line interface for interacting with the tool.
3. **Implement Configuration Parsing:** Write code to parse various types of AWS resource configuration files.
4. **Integrate 'aws-resource-validator-pcs':** Use the 'aws-resource-validator-pcs' package to define validation rules and apply them to parsed configurations.
5. **Generate Validation Reports:** Create logic to generate comprehensive reports based on the validation results.
6. **Develop Interactive Mode:** Implement an interactive mode that allows users to query and validate specific parts of their configurations dynamically.
7. **Support Custom Policies:** Enable users to specify custom validation policies and integrate these with the default ones from 'aws-resource-validator-pcs'.
8. **CI/CD Integration Documentation:** Prepare documentation on how to integrate the tool into CI/CD workflows, ensuring continuous validation of AWS resource configurations.
9. **Testing & Refinement:** Conduct thorough testing to ensure the tool works as expected and refine its functionality based on feedback.

💬 Discussion Feed

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