aws-resource-validator-rtbfabric

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, obfuscation, and credential handling, but the metadata risk score is moderately high due to incomplete author details and potentially inactive account.

  • Incomplete author details
  • Potentially inactive author account
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local resource validation.
  • Shell: No shell execution detected, which aligns with the expected behavior of a validation tool.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author details are 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 (306 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-rtbfabric 
Develop a command-line utility named 'RTBValidator' that leverages the 'aws-resource-validator-rtbfabric' package to validate AWS resources against specific compliance standards defined by RTBFabric. This tool will serve as a critical aid for DevOps teams and cloud administrators ensuring their AWS deployments adhere to best practices and regulatory requirements. The application should perform the following tasks:

1. **Resource Validation**: Users should be able to input details of their AWS resources (e.g., S3 buckets, EC2 instances, RDS databases) via command-line arguments or a configuration file. The tool will then validate these resources against predefined schemas using the Pydantic models provided by 'aws-resource-validator-rtbfabric'.

2. **Compliance Reporting**: After validation, generate a comprehensive report detailing any non-compliant items, including suggestions for remediation. This report should be outputted to both the console and saved as a structured file (JSON or YAML).

3. **Interactive Mode**: Implement an interactive mode where users can input resource details directly from the command line, receive immediate feedback on compliance, and make adjustments iteratively.

4. **Custom Schema Support**: Allow users to define their own compliance schemas if the default ones do not meet their needs. These custom schemas should also use the Pydantic models provided by 'aws-resource-validator-rtbfabric', ensuring consistency and ease of integration with existing validation logic.

5. **Integration with CI/CD Pipelines**: Provide documentation on how to integrate 'RTBValidator' into CI/CD pipelines to automate the validation process during deployment stages, enhancing security and compliance assurance.

The 'aws-resource-validator-rtbfabric' package is central to this project, providing the necessary Pydantic models that define the structure and constraints of compliant AWS resources. Your task is to utilize these models effectively to ensure that all validations performed by 'RTBValidator' are accurate and reliable.

💬 Discussion Feed

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