aws-resource-validator-iotdeviceadvisor

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as network calls, shell executions, or obfuscation. However, the incomplete maintainer information and potentially inactive account raise concerns about its legitimacy.

  • Incomplete maintainer information
  • Potentially inactive maintainer account
Per-check LLM notes
  • Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; the package may be designed to work offline.
  • Shell: No shell execution patterns detected, indicating that the package does not execute external commands, reducing risk of system-level attacks.
  • Obfuscation: No obfuscation patterns detected, indicating a low risk of code being hidden for malicious purposes.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets or credentials.
  • Metadata: The maintainer's author information is incomplete and the account seems new or inactive, which raises some concern but does not definitively 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 (327 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-iotdeviceadvisor 
Create a mini-application named 'IoTDeviceAdvisorInspector' that leverages the 'aws-resource-validator-iotdeviceadvisor' package to validate and inspect IoT Device Advisor test suites for AWS IoT Core. This application should allow users to input details about their IoT Device Advisor test suite configurations and then validate these configurations against predefined Pydantic v2 models provided by the package. Here’s a step-by-step guide on how to build it:

1. **Setup Environment**: Ensure you have Python installed and create a virtual environment. Install necessary packages including 'aws-resource-validator-iotdeviceadvisor'.

2. **Define User Interface**: Design a simple command-line interface (CLI) where users can input their test suite configuration details. Include options for specifying the resource type (e.g., device under test), test plan name, and other relevant parameters.

3. **Input Validation**: Use the 'aws-resource-validator-iotdeviceadvisor' package to define validation rules based on Pydantic models. These models will ensure that the user inputs adhere to the correct schema and constraints expected by AWS IoT Device Advisor.

4. **Validation Logic**: Implement the logic to validate the user-provided test suite configurations against the defined Pydantic models. This includes checking for missing fields, incorrect data types, and ensuring compliance with AWS standards.

5. **Output Feedback**: Provide clear feedback to the user indicating whether their test suite configuration is valid or not. If invalid, specify which fields or values need correction.

6. **Advanced Features** (Optional): Consider adding features such as saving validated configurations to a file, allowing users to load pre-defined configurations, or even integrating with AWS SDKs to automatically submit validated configurations for testing.

By following these steps, your application will serve as a valuable tool for developers and DevOps teams managing IoT Device Advisor test suites, ensuring configurations are always compliant with AWS standards.

💬 Discussion Feed

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