aws-resource-validator-uxc

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity, with low risks across all categories except metadata where there's some concern about the maintainer's account status.

  • No network calls or shell executions detected
  • Low risk of obfuscation and credential harvesting
  • 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 internet access to function.
  • Shell: No shell execution patterns detected, indicating no direct system command execution which reduces the risk of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The maintainer has a new or inactive account with no author name, which raises some concern but does not strongly indicate malicious intent.

📦 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 (288 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-uxc 
Create a command-line utility called 'AWS Resource Inspector' using Python that leverages the 'aws-resource-validator-uxc' package to validate AWS resource configurations against predefined schemas. This tool should allow users to input their AWS resource definitions (such as S3 buckets, RDS instances, etc.) and receive feedback on whether these resources adhere to best practices and compliance standards.

Step 1: Set up your development environment with Python and install necessary packages including 'aws-resource-validator-uxc'.

Step 2: Design the user interface for your CLI tool. It should accept JSON files or YAML files as input representing different AWS resources.

Step 3: Utilize 'aws-resource-validator-uxc' to define validation rules for various AWS services. For example, you might want to ensure that all S3 buckets have server-side encryption enabled.

Step 4: Implement the validation logic within your CLI tool. When a user inputs a resource configuration file, your tool should parse it and then use 'aws-resource-validator-uxc' to validate the configuration against the defined schemas.

Step 5: Provide detailed output for each resource, indicating whether it passes validation or not. Include specific reasons for any failures.

Suggested Features:
- Support for multiple AWS service types (EC2, S3, RDS, etc.).
- Ability to specify custom validation rules beyond the default ones provided by 'aws-resource-validator-uxc'.
- Option to generate reports in various formats (text, HTML, PDF).
- Integration with CI/CD pipelines for automated validation during deployment processes.

Remember to document your code well and provide clear instructions for users on how to install and use your CLI tool.

💬 Discussion Feed

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