aws-resource-validator-iot

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity with low risks across all assessed categories. The metadata risk is slightly elevated due to incomplete author information.

  • Low network and shell execution risk
  • No obfuscation or credential harvesting detected
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
  • Metadata: The author's information is incomplete, indicating potential lack of transparency or a new 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-iot 
Your task is to develop a command-line utility named 'IoTValidator' using Python that leverages the 'aws-resource-validator-iot' package to validate IoT resources against AWS IoT best practices and schema definitions. This tool will help developers and system administrators ensure their AWS IoT configurations adhere to predefined standards, enhancing security and compliance.

The application should include the following functionalities:
1. **Resource Validation**: Users should be able to input or upload JSON configurations for AWS IoT resources such as policies, certificates, thing types, and more. The tool will then validate these configurations against Pydantic models provided by the 'aws-resource-validator-iot' package to ensure they meet AWS IoT requirements.
2. **Error Reporting**: If any issues are found during validation, the tool must report them clearly, indicating which part of the configuration failed validation and why.
3. **Configuration Export**: After successful validation, users should have the option to export their validated configurations into a file for future reference or deployment.
4. **Interactive Mode**: Implement an interactive mode where users can input resource details directly through the CLI, receive real-time feedback on the validity of each input, and correct any errors before finalizing their configuration.
5. **Help and Documentation**: Provide comprehensive documentation within the tool, accessible via command-line options, explaining how to use the tool effectively and detailing common pitfalls and best practices for AWS IoT resource configurations.

To achieve these goals, you'll need to utilize the 'aws-resource-validator-iot' package extensively. This includes importing relevant Pydantic models from the package, using them to define schemas for different types of AWS IoT resources, and integrating these schemas into your validation logic. Additionally, explore the package's capabilities for handling complex nested structures and data types typical in IoT configurations.

💬 Discussion Feed

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