aws-resource-validator-iot-managed-integrations

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across network, shell, and obfuscation checks, but metadata concerns about incomplete author information and a potentially inactive maintainer raise suspicion, warranting further investigation.

  • Incomplete author information
  • Potentially inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
  • Metadata: The author information is incomplete and the maintainer has a new or inactive account, 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 (351 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-managed-integrations 
Your task is to develop a Python-based utility application named 'IoTIntegrationValidator' that leverages the 'aws-resource-validator-iot-managed-integrations' package to validate configurations of AWS IoT managed integrations. This tool aims to assist developers and system administrators in ensuring that their IoT integration configurations adhere to best practices and comply with AWS standards.

### Application Requirements:
1. **Configuration Parsing:** The application should accept input in the form of a JSON file containing the configuration details of one or more AWS IoT managed integrations.
2. **Validation Process:** Utilize the Pydantic models provided by the 'aws-resource-validator-iot-managed-integrations' package to validate the configurations against predefined schemas.
3. **Report Generation:** Upon validation, generate a comprehensive report detailing any issues found in the configurations, including specific errors and suggestions for corrections.
4. **User Interface:** Implement a simple command-line interface (CLI) for users to interact with the application, providing options to load configuration files, specify output formats for reports, and display help documentation.
5. **Error Handling:** Ensure robust error handling mechanisms are in place to gracefully manage exceptions such as invalid input formats or missing required fields.
6. **Customization Options:** Allow users to customize the validation process by specifying which aspects of the configuration they want to validate (e.g., security settings, data processing rules).

### Core Features:
- **Schema Validation:** Use the Pydantic models from 'aws-resource-validator-iot-managed-integrations' to enforce strict schema validation on the configurations.
- **Interactive CLI:** Provide an interactive command-line interface allowing users to navigate through different functionalities.
- **Detailed Reporting:** Offer detailed reports that not only highlight errors but also suggest potential fixes based on the violated rules.
- **Custom Validation Criteria:** Enable users to define custom validation criteria, extending beyond the default schemas provided by the package.

### Utilizing 'aws-resource-validator-iot-managed-integrations':
- **Importing Models:** Import necessary Pydantic models from the package to define the structure of valid configurations.
- **Model Instantiation:** Create instances of these models using the configuration data read from input files.
- **Validation Logic:** Apply validation logic by leveraging the built-in validation capabilities of Pydantic models.
- **Error Handling:** Capture validation errors returned by Pydantic and format them into user-friendly messages.

Develop 'IoTIntegrationValidator' with a focus on clarity, efficiency, and usability, making it a valuable tool for anyone working with AWS IoT managed integrations.

💬 Discussion Feed

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