aws-resource-validator-resource-groups

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the incomplete author information and potential inactivity of the maintainer slightly elevate the metadata risk.

  • No network or shell risks detected
  • Incomplete author information and potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network call patterns detected, which is normal if the package does not require external communications.
  • 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 obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The author information is incomplete and the maintainer seems new or inactive, which raises some concern but not enough to conclusively label 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 (324 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-resource-groups 
Create a Python-based command-line tool named 'ResourceGuard' that leverages the 'aws-resource-validator-resource-groups' package to validate AWS Resource Groups against predefined rules. This tool should allow users to input specific AWS account IDs and resource group names to check if the groups adhere to best practices and company policies. Here are the steps and features your project should include:

1. **Setup**: Install necessary packages including 'aws-resource-validator-resource-groups', boto3 for AWS interactions, and typer for command-line interface handling.
2. **Configuration**: Allow users to configure their AWS credentials either through environment variables or a configuration file.
3. **Validation Rules**: Define a set of validation rules using the models provided by 'aws-resource-validator-resource-groups'. These rules could include checking for redundant resources, outdated resource types, or misconfigured permissions.
4. **Input Handling**: Implement a user-friendly CLI that accepts multiple AWS account IDs and resource group names as inputs.
5. **Validation Execution**: For each specified resource group, execute the validation checks based on the defined rules. Use the 'aws-resource-validator-resource-groups' package to parse and validate the resource groups against these rules.
6. **Reporting**: Provide a detailed report for each resource group, indicating which resources passed validation and which did not, along with suggestions for corrections.
7. **Logging**: Integrate logging to record the execution details and any errors encountered during the validation process.
8. **Optional Features**: Consider adding options like scheduling regular validations via cron jobs, generating compliance reports, or even sending notifications about non-compliant resources.

This project will serve as a powerful tool for DevOps teams and cloud administrators to ensure their AWS environments remain secure, efficient, and compliant with organizational standards.

💬 Discussion Feed

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