aws-resource-validator-ec2

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS ec2, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious intent such as network calls, shell execution, or obfuscation. However, the metadata risk score due to the author's anonymity and limited package history raises some concerns.

  • Low risk of network, shell, and obfuscation activities
  • Metadata risk due to author anonymity and sparse package history
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a utility tool like this.
  • Shell: No shell execution patterns detected, aligning with the expected behavior for a non-malicious 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 author's lack of a visible name and the presence of only one package could indicate a less experienced or potentially suspicious account.

📦 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 (288 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-ec2 
Create a Python-based command-line tool named 'EC2Validator' using the 'aws-resource-validator-ec2' package. This tool will allow users to validate EC2 resource configurations against predefined Pydantic models provided by the package. The tool should support multiple functionalities, including but not limited to:

1. **Configuration Validation**: Users can input their EC2 configuration details (such as instance type, security group IDs, subnet ID, etc.) through a simple JSON file or command-line arguments. The tool will then validate these inputs against the Pydantic models from 'aws-resource-validator-ec2'.
2. **Detailed Error Reporting**: If any part of the configuration does not meet the validation criteria, the tool should provide a detailed report listing all errors found.
3. **Integration with AWS SDK**: Extend the tool to integrate with the Boto3 AWS SDK to fetch real-time data about the specified EC2 resources (if they exist), comparing fetched data against the validated configuration to ensure consistency.
4. **Export Validation Reports**: Allow users to export validation reports in various formats such as JSON or CSV for further analysis.
5. **Custom Model Creation**: Enable advanced users to define their own Pydantic models based on 'aws-resource-validator-ec2', allowing for more customized validation scenarios.

Your task is to design and implement the core functionality of 'EC2Validator', ensuring it adheres to best practices in Python development and leverages the 'aws-resource-validator-ec2' package effectively. Additionally, document your implementation process and include examples of how different types of EC2 configurations can be validated using your tool.

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