aws-resource-validator-apprunner

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. However, the metadata risk score is elevated due to the maintainer's new or inactive account and lack of detailed information.

  • No network calls detected
  • Maintainer has a new or inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package is not engaging in unauthorized secret or credential collection.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, which could indicate potential unreliability.

📦 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 (306 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-apprunner 
Create a command-line utility named 'AppRunnerValidator' using Python that leverages the 'aws-resource-validator-apprunner' package to validate and manage AWS App Runner resources. This utility should be able to perform the following tasks:

1. **Resource Validation**: Validate AWS App Runner service definitions against the Pydantic v2 models provided by 'aws-resource-validator-apprunner'. Users should be able to input a JSON configuration file representing an App Runner service and receive validation feedback indicating whether the configuration adheres to the AWS App Runner schema.

2. **Service Creation**: Given a valid configuration, the utility should be capable of creating an AWS App Runner service based on the provided JSON file. It should handle any necessary authentication and authorization steps, such as assuming roles or providing access keys.

3. **Service Management**: Implement commands to start, stop, and delete App Runner services. Each action should ensure that the specified resource exists before performing the operation and provide appropriate feedback to the user.

4. **Configuration Export**: Allow users to export existing App Runner services into a JSON format that matches the Pydantic v2 models. This feature should help in maintaining and versioning configurations.

5. **Interactive Mode**: Provide an interactive mode where users can modify their service configurations directly through the CLI and have them validated in real-time.

6. **Error Handling**: Ensure robust error handling throughout the application. This includes graceful degradation when network issues occur, clear error messages for invalid inputs, and informative messages when actions fail due to insufficient permissions.

7. **Logging**: Implement logging capabilities to record all operations performed by the utility, including timestamps, user actions, and any errors encountered. Logs should be stored locally and optionally uploaded to an S3 bucket if configured.

The 'aws-resource-validator-apprunner' package will be primarily used for validating the JSON configurations against the AWS App Runner schema, ensuring that the configurations are correct before any actions are taken. Additionally, it will assist in parsing and constructing the JSON objects required for AWS App Runner API calls.

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