aws-resource-validator-amplify

v2.0.3 suspicious
4.0
Medium Risk

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

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package presents minimal direct risks but raises concerns due to the lack of maintainer information and a potentially new or inactive maintainer account.

  • Metadata risk due to new/inactive maintainer account
  • Lack of maintainer 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 patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks author information, which raises some suspicion but does not conclusively indicate malicious intent.

πŸ“¦ Package Quality Overall: Low (3.8/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (300 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—‹ 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)

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gmail.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aws-resource-validator-amplify
Create a Python-based utility named 'AmpValidator' that leverages the 'aws-resource-validator-amplify' package to validate AWS Amplify resources. This utility will help developers ensure their Amplify configurations adhere to best practices and are syntactically correct before deploying their applications. Here’s a step-by-step guide on what your utility should accomplish:

1. **Setup**: Begin by setting up a virtual environment and installing the necessary packages, including 'aws-resource-validator-amplify'. Ensure all dependencies are listed in a requirements.txt file.
2. **Configuration Loading**: Implement functionality to load configuration files from various sources such as local filesystem paths, S3 buckets, or even directly from stdin. These configurations typically contain details about the Amplify app setup, including build settings, environments, and deployment preferences.
3. **Validation Logic**: Utilize the Pydantic models provided by 'aws-resource-validator-amplify' to validate these configurations. Your utility should be able to check for common issues like missing required fields, incorrect data types, and unsupported values. Provide clear error messages for any validation failures.
4. **Reporting**: Upon successful validation, generate a report summarizing the state of the configuration. Include suggestions for improvements or warnings if certain deprecated or insecure configurations are detected.
5. **Integration**: Allow users to integrate AmpValidator into their CI/CD pipelines by supporting command line arguments and exit codes. For instance, return a non-zero exit code if there are any validation errors.
6. **Extensibility**: Design AmpValidator to be easily extensible. Developers should be able to add custom validators or modify existing ones without altering the core codebase.
7. **Documentation**: Write comprehensive documentation detailing how to install, configure, and use AmpValidator. Include examples of common usage scenarios and troubleshooting tips.

Suggested Features:
- Support for multiple configuration formats (JSON, YAML).
- Ability to validate against different versions of AWS Amplify API.
- Integration tests using real-world configurations.
- User-friendly output formats (text, JSON, etc.).
- Support for interactive mode where users can fix issues on the fly.

πŸ’¬ Discussion Feed

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