aws-resource-validator-directconnect

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of malicious activity such as network calls, shell executions, obfuscation, or credential harvesting. However, the metadata risk score is elevated due to incomplete author details and a potentially new or inactive account.

  • Incomplete author details
  • Potentially new or inactive author account
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally, which aligns with typical behavior for a directconnect validation tool.
  • Shell: No shell execution patterns indicate the package does not run external commands, which is normal for a package focused on AWS resource validation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's details are incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 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 (318 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-directconnect 
Create a Python-based utility named 'DirectConnectInspector' that leverages the 'aws-resource-validator-directconnect' package to validate Direct Connect resources within an AWS environment. This tool should provide a user-friendly interface to input specific Direct Connect resource identifiers (e.g., connection IDs, virtual interface IDs) and then perform validation checks against predefined schemas provided by the 'aws-resource-validator-directconnect' package.

The application should include the following features:
1. A command-line interface (CLI) for easy interaction.
2. Validation of Direct Connect connections and virtual interfaces based on their identifiers.
3. Output of validation results, indicating whether each resource adheres to the expected schema or not.
4. An option to save the validation results into a structured file format such as JSON or YAML.
5. Detailed error messages if any resource fails validation.
6. Integration with Boto3 for interacting with AWS services and retrieving necessary information about Direct Connect resources.
7. Unit tests to ensure the correctness of the validation logic and the CLI functionality.

The 'aws-resource-validator-directconnect' package will be primarily used to define and validate the structure and properties of Direct Connect resources against known good schemas. This ensures that the resources conform to expected standards and helps in identifying potential misconfigurations early on.

Your task is to design and implement this utility, ensuring it is modular, maintainable, and well-documented. Consider writing comprehensive documentation that explains how to install, use, and extend the application.

💬 Discussion Feed

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