aws-resource-validator-qbusiness

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks, but concerns arise from incomplete author metadata and potentially inactive account, hinting at possible supply-chain manipulation.

  • Incomplete author metadata
  • Potentially inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets or credentials.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of 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 (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-qbusiness
Create a command-line utility called 'AWS Resource Inspector' using Python that leverages the 'aws-resource-validator-qbusiness' package to validate and display information about AWS resources specifically related to qBusiness services. The utility should allow users to input or specify AWS resource configurations and receive feedback on whether these configurations meet best practices and standards defined within the package.

Key Features:
- Input AWS resource configuration data via command line arguments or a configuration file.
- Validate the input against the Pydantic v2 models provided by 'aws-resource-validator-qbusiness'.
- Provide detailed output indicating which parts of the configuration are compliant and which need adjustments.
- Offer suggestions for improving non-compliant configurations based on the validation results.
- Allow saving validated configurations to a new file or updating existing ones.
- Include a help menu that explains each feature and provides examples of valid input formats.

The 'aws-resource-validator-qbusiness' package will be crucial for defining the validation rules and ensuring that the configurations adhere to AWS best practices for qBusiness services. Your task is to design and implement this utility from scratch, ensuring it is user-friendly and robust.

💬 Discussion Feed

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