aws-resource-validator-verifiedpermissions

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package is considered safe with no detected malicious activities such as network calls, shell executions, or credential harvesting. However, there is a slight concern due to incomplete author information and potential inactivity of the maintainer.

  • No network calls detected
  • Incomplete author information
  • Potential inactivity of maintainer
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.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer seems new or inactive, which raises some concerns but does not definitively indicate malicious intent.

📦 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 (336 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-verifiedpermissions 
Create a Python-based mini-application named 'ResourceGuard' that serves as a security auditor for AWS resources using the 'aws-resource-validator-verifiedpermissions' package. This application will help users verify if their AWS resources comply with specified security policies defined through AWS Verified Permissions. Here’s a detailed breakdown of what the application should achieve and how it utilizes the 'aws-resource-validator-verifiedpermissions' package:

1. **Project Setup**: Start by setting up a virtual environment and installing necessary packages including 'aws-resource-validator-verifiedpermissions', 'boto3' for AWS interactions, and 'pydantic' for data validation.

2. **AWS Configuration**: Implement a configuration module that allows users to input their AWS credentials securely and select which AWS services they want to audit (e.g., S3 buckets, IAM roles).

3. **Policy Definition**: Use the 'aws-resource-validator-verifiedpermissions' package to define and validate security policies. These policies should be based on AWS Verified Permissions, allowing for detailed control over resource access.

4. **Resource Scanning**: Develop a scanning feature that queries selected AWS services and collects information about the resources within those services. Ensure this process respects the permissions set in the user's AWS account.

5. **Compliance Check**: Utilize the 'aws-resource-validator-verifiedpermissions' package to compare collected resource data against the defined security policies. The application should be able to identify discrepancies and flag non-compliant resources.

6. **Report Generation**: Create a feature that generates a detailed report of the compliance checks. This report should include information such as resource names, types, and any violations found during the audit.

7. **Interactive Interface**: Design a simple command-line interface (CLI) where users can interact with the application. The CLI should allow them to configure settings, initiate scans, and view reports.

8. **Security Enhancements**: Ensure that all sensitive information, such as AWS credentials, is handled securely. Consider using environment variables or encrypted storage solutions for secure handling.

9. **Documentation & Testing**: Provide comprehensive documentation on how to use 'ResourceGuard'. Additionally, implement unit tests to ensure the application works as expected across different scenarios.

By utilizing the 'aws-resource-validator-verifiedpermissions' package, 'ResourceGuard' aims to streamline the process of auditing AWS resources for security compliance, making it easier for developers and administrators to maintain a secure environment.

💬 Discussion Feed

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