aws-resource-validator-partnercentral-account

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to the author's lack of established credentials and a single associated package.

  • Elevated metadata risk due to unestablished author credentials
  • Single associated package by author
Per-check LLM notes
  • Network: The absence of network calls is normal for packages that do not require external API interactions or data fetching.
  • Shell: The absence of shell execution patterns suggests the package does not execute external commands, which is typical for most Python packages focused on specific functionalities like resource validation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's name is missing and the author has only one package, which may indicate a less established or potentially suspicious account.

📦 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 (345 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-partnercentral-account 
Create a Python-based CLI tool that validates AWS resource configurations against the PartnerCentral Account standards using the 'aws-resource-validator-partnercentral-account' package. This tool should allow users to specify a JSON file containing AWS resource configurations and then validate these configurations against the predefined Pydantic v2 models provided by the package.

### Features:
- **Configuration File Input**: Users should be able to input a JSON file path that contains the AWS resource configurations they wish to validate.
- **Validation Output**: Upon validation, the tool should output a report indicating whether each configuration is valid according to the PartnerCentral Account standards, along with any error messages or warnings if applicable.
- **Interactive Mode**: In addition to validating a single JSON file, the tool should also offer an interactive mode where users can input individual resource configurations directly into the CLI for validation.
- **Help Documentation**: Include comprehensive help documentation accessible via command line options, explaining how to use the tool and interpret the validation results.
- **Custom Error Handling**: Implement custom error handling to provide clear and user-friendly messages when errors occur during the validation process.

### Utilization of 'aws-resource-validator-partnercentral-account':
- Use the Pydantic v2 models provided by the package to define the structure of valid AWS resource configurations.
- Load the JSON file input from the user and parse it into Python objects.
- Validate these objects against the Pydantic models to ensure they adhere to the PartnerCentral Account standards.
- Provide feedback to the user based on the validation results, indicating compliance or listing specific issues that need addressing.

💬 Discussion Feed

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