aws-resource-validator-appconfigdata

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network calls, shell execution, obfuscation, and credential harvesting. However, the incomplete author information and possibly inactive account raise concerns about its legitimacy.

  • Incomplete author information
  • Possibly inactive author 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 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 author information is incomplete and the account seems new or inactive, which raises some suspicion but not enough to conclude malice.

📦 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 (318 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-appconfigdata 
Your task is to develop a Python-based application named 'AppConfigDataChecker' that leverages the 'aws-resource-validator-appconfigdata' package to validate and manage configuration data for AWS AppConfig applications. This tool will be particularly useful for developers and DevOps engineers who need to ensure their application configurations adhere to specific schemas and best practices before deployment. Here’s a detailed breakdown of what your application should accomplish:

1. **Initialization**: Begin by installing the necessary packages including 'aws-resource-validator-appconfigdata'. Ensure your application can authenticate with AWS using environment variables or a configuration file.
2. **Configuration Loading**: Develop a feature within your application that allows users to load configuration data from AWS AppConfig. This data should be validated against predefined schemas using the models provided by 'aws-resource-validator-appconfigdata'.
3. **Validation Engine**: Implement a robust validation engine that checks the loaded configuration data against the schemas. The engine should provide detailed feedback on any discrepancies found, such as missing fields, incorrect data types, or values outside expected ranges.
4. **Interactive Mode**: Add an interactive mode where users can manually input configuration details and receive real-time validation feedback. This will help users understand how their configurations align with the required standards.
5. **Report Generation**: Create a feature that generates comprehensive reports detailing the validation results. These reports should include a summary of all checks performed, any issues found, and recommendations for corrections.
6. **Integration Testing**: Finally, integrate your application with a sample AWS AppConfig application to demonstrate its effectiveness. Test various scenarios, including edge cases, to ensure reliability and accuracy.

By utilizing the 'aws-resource-validator-appconfigdata' package, you will streamline the process of validating and managing configuration data, thereby enhancing the security and reliability of your AWS AppConfig deployments.

💬 Discussion Feed

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