aws-resource-validator-transcribe

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears generally benign with low risks across various categories, but the absence of author metadata and signs of inactivity raise concerns about its legitimacy and maintenance.

  • Missing author metadata
  • Inactive author status
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 no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating likely legitimate use.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
  • Metadata: The author's name is missing and they appear to be inactive, which raises some suspicion but not enough to conclusively identify it as malicious.

📦 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 (309 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-transcribe 
Develop a mini-application named 'TranscribeValidator' that leverages the 'aws-resource-validator-transcribe' package to validate AWS Transcribe resources. This tool will be particularly useful for developers who work extensively with AWS Transcribe services and need to ensure their configurations adhere to best practices and compliance standards. Here’s a step-by-step guide on how to build this application:

1. **Setup Project Environment**: Initialize a new Python project and install the necessary dependencies including 'aws-resource-validator-transcribe'. Ensure you have an AWS account and credentials set up to interact with AWS services.

2. **Define Validation Rules**: Using the Pydantic v2 models provided by 'aws-resource-validator-transcribe', define a set of validation rules for different aspects of AWS Transcribe resources such as job settings, media files, and custom vocabularies. These rules should cover common scenarios encountered during Transcribe operations.

3. **Create Input Parser**: Develop a component that parses input from users or configuration files to extract details about the Transcribe resources they wish to validate. This could include specifying which Transcribe jobs or media files to check against your defined validation rules.

4. **Implement Validation Logic**: Write the core logic of the application where the parsed inputs are validated against the predefined rules using the 'aws-resource-validator-transcribe' package. Ensure the validation process is efficient and provides meaningful feedback for each rule checked.

5. **User Interface**: Design a simple yet effective user interface (CLI or GUI) for interacting with 'TranscribeValidator'. The UI should allow users to specify their Transcribe resources and view the results of the validation process easily.

6. **Testing and Documentation**: Thoroughly test the application with various AWS Transcribe configurations to ensure it works as expected under different conditions. Document the setup process, usage instructions, and any limitations of the tool.

7. **Deployment and Maintenance**: Once satisfied with the functionality, deploy the application in a way that makes it accessible to other developers. Plan for ongoing maintenance and updates based on user feedback and changes in AWS Transcribe service.

Suggested Features:
- Support for validating multiple Transcribe jobs at once.
- Detailed error messages for failed validations to help users understand issues.
- Option to save validation results to a file for record-keeping.
- Integration with CI/CD pipelines to automatically validate Transcribe configurations during development cycles.

💬 Discussion Feed

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