aws-resource-validator-marketplacecommerceanalytics

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

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

  • Moderate metadata risk
  • Sparse author details
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author details are sparse and the account seems new or inactive, which raises some suspicion 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 (363 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-marketplacecommerceanalytics 
Your task is to develop a Python-based utility called 'MarketplaceAnalyticsValidator' which will serve as a tool for validating resources related to Amazon Marketplace Commerce Analytics using the 'aws-resource-validator-marketplacecommerceanalytics' package. This utility aims to streamline the process of ensuring that resource configurations adhere to AWS best practices and standards, enhancing security and operational efficiency.

**Core Functionality:**
- **Resource Validation:** Implement a feature that takes in a configuration file (JSON/YAML) representing AWS marketplace commerce analytics resources and validates it against predefined schemas provided by the 'aws-resource-validator-marketplacecommerceanalytics' package.
- **Error Reporting:** If the validation fails, the utility should output a detailed report listing all errors found in the configuration file. Each error should include a description of the issue, the line number where the error occurs, and suggestions for fixing the problem.
- **Compliance Check:** Additionally, the utility should check if the validated resources comply with AWS Marketplace Commerce Analytics best practices. This could involve checking for unnecessary permissions, outdated configurations, or any other non-compliant settings.

**Suggested Features:**
- **Interactive Mode:** Allow users to input resource configurations directly into the utility for immediate validation and feedback.
- **Batch Processing:** Extend the utility to accept multiple configuration files at once for batch processing, generating a consolidated report.
- **Custom Rules:** Provide an option for advanced users to define custom validation rules based on their specific needs or compliance requirements.
- **Integration with CI/CD Pipelines:** Ensure the utility can be easily integrated into Continuous Integration/Continuous Deployment (CI/CD) pipelines to automatically validate resource configurations during the deployment process.

**Utilizing 'aws-resource-validator-marketplacecommerceanalytics':**
The 'aws-resource-validator-marketplacecommerceanalytics' package provides Pydantic v2 models for AWS marketplace commerce analytics resources, making it easier to validate these resources against standardized schemas. Your utility should leverage these models to perform validation checks efficiently. For instance, you might use the package’s models to parse and validate JSON/YAML configurations, ensuring they meet the required structure and constraints specified by AWS Marketplace Commerce Analytics.

Your final deliverable should include:
- A well-documented Python script implementing the 'MarketplaceAnalyticsValidator'
- Sample configuration files for testing purposes
- A user guide explaining how to install, configure, and run the utility
- Test cases demonstrating the utility's functionality

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!