aws-resource-validator-memorydb

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks but raises concerns due to incomplete maintainer information and potentially inactive account.

  • Incomplete maintainer's author information
  • Possibly new or inactive maintainer 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 patterns detected, consistent with a benign utility package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer's author information is incomplete and the account seems new or inactive, raising some suspicion but not enough for high concern.

📦 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 (303 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-memorydb 
Create a Python-based utility named 'MemoryDBHealthChecker' that leverages the 'aws-resource-validator-memorydb' package to validate and monitor Amazon MemoryDB resources. This tool should help users ensure their MemoryDB clusters are configured correctly according to AWS best practices and specifications. The application should include the following functionalities:

1. **Cluster Validation**: Allow users to input details of their MemoryDB cluster(s) and use 'aws-resource-validator-memorydb' to validate these configurations against AWS standards.
2. **Alert System**: Implement a basic alert system that notifies users via email or SMS if any validation fails, indicating potential misconfigurations or issues.
3. **Configuration Suggestion**: If the validation process finds any non-compliant settings, provide suggestions on how to correct them based on AWS recommendations.
4. **User Interface**: Develop a simple command-line interface (CLI) for ease of use. Users should be able to run commands like 'validate-cluster', 'set-alerts', and 'get-suggestions'.
5. **Integration with AWS SDK**: Ensure the tool can interact with AWS services using the Boto3 library, allowing it to fetch current cluster configurations automatically for validation.
6. **Logging and Reporting**: Include logging capabilities to record all validation activities and generate reports summarizing the health status of MemoryDB clusters over time.

This project aims to streamline the process of maintaining compliant and healthy MemoryDB environments, making it easier for developers and administrators to adhere to best practices without deep knowledge of AWS specifications.

💬 Discussion Feed

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