aws-resource-validator-elasticache

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks such as network calls or credential exposure, but the incomplete maintainer profile and potential lack of activity raise concerns about its origin and maintenance.

  • Incomplete maintainer profile
  • Potential lack of maintainer activity
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 immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some suspicion but does not strongly 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 (312 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-elasticache 
Create a command-line tool named 'ElastiCacheInspector' using Python that leverages the 'aws-resource-validator-elasticache' package to validate and inspect AWS ElastiCache resources. This tool will serve as a comprehensive health check for any ElastiCache cluster or replication group, ensuring they adhere to best practices and are configured optimally.

The application should perform the following steps:
1. Authenticate with AWS using IAM roles or access keys.
2. Accept user input specifying the region and name of the ElastiCache resource (cluster or replication group).
3. Retrieve the specified ElastiCache resource details from AWS.
4. Validate the retrieved resource against the Pydantic models provided by 'aws-resource-validator-elasticache'.
5. Display a summary report indicating whether the resource is compliant with the best practices defined in the models.
6. Provide suggestions for improvement if the resource does not meet all criteria.
7. Optionally, allow users to specify custom validation rules based on their organization's policies.
8. Support both Redis and Memcached engines.

Key Features:
- Detailed validation reports including configuration settings, security groups, and parameter groups.
- Customizable validation rules for specific organizational requirements.
- Interactive CLI interface for easy use.
- Option to export the validation report to a file (JSON format).
- Support for multiple regions and resource types.

Utilization of 'aws-resource-validator-elasticache':
- Import and utilize the Pydantic models from the package to define the structure and validation rules for AWS ElastiCache resources.
- Use these models to validate the actual AWS ElastiCache resources against predefined schemas.
- Leverage the package's namespace extension capabilities to extend functionality if needed for custom validations.

This tool will significantly enhance the management and monitoring of ElastiCache resources, providing developers and DevOps teams with a powerful way to ensure their configurations are secure and efficient.

💬 Discussion Feed

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