aws-resource-validator-iotevents-data

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits very low risks across all measured categories except for metadata, where the author's information is limited and the maintainer appears to be new or inactive. However, there is no concrete evidence of malicious activity.

  • Low network and shell execution risk
  • No obfuscation or credential harvesting attempts detected
  • Sparse author information and potential inactivity raise minor concerns
Per-check LLM notes
  • Network: No network calls detected, which is expected for a package focused on local validation of AWS IoT Events Data resources.
  • Shell: No shell execution patterns detected, consistent with a benign utility package.
  • 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 information is sparse and the maintainer seems new or inactive, raising some concerns but not definitive signs of 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 (321 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-iotevents-data 
Develop a Python-based mini-application that integrates with AWS IoT Events Data service to validate and manage resources efficiently. This application will utilize the 'aws-resource-validator-iotevents-data' package to ensure that all configurations adhere to AWS best practices and standards. Here’s a detailed breakdown of the project requirements and functionalities:

1. **Setup**: Begin by installing the required packages including 'aws-resource-validator-iotevents-data'. Ensure you have AWS credentials configured properly.

2. **Resource Validation**: Implement a feature where users can input their AWS IoT Events Data resources (e.g., detectors, detector models, inputs) directly into the application or upload them from a file. Use the 'aws-resource-validator-iotevents-data' package to validate these resources against AWS specifications.

3. **Error Reporting**: If any resource fails validation, the application should provide a detailed report of errors and suggestions on how to correct them. This report should be user-friendly and highlight key issues.

4. **Interactive Interface**: Develop an interactive command-line interface (CLI) or a simple web interface where users can easily input their resources and view validation results.

5. **Logging and Persistence**: Integrate logging capabilities to record all validation activities and errors. Additionally, implement a basic persistence layer to save validated resources and their status for future reference.

6. **Documentation and Help**: Include comprehensive documentation within the application to guide users through its usage and features. Also, provide a help function within the CLI/web interface for quick assistance.

7. **Testing**: Ensure thorough testing of the application using various resource configurations to verify its effectiveness and reliability.

This project aims to streamline the process of managing and validating AWS IoT Events Data resources, making it easier for developers and administrators to maintain high-quality AWS environments.

💬 Discussion Feed

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