aws-resource-validator-codecommit

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk indicators such as no network calls, shell execution, obfuscation, or credential harvesting. However, the metadata risk score of 3/10 due to sparse author information and a potentially new or inactive account raises concerns about its legitimacy.

  • No network calls detected.
  • Sparse author information and possibly new/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 no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate code without hidden or encoded malicious content.
  • Credentials: No credential harvesting patterns detected, indicating no suspicious activity related to stealing sensitive information.
  • Metadata: The author's information is sparse and the account seems new or inactive, which could indicate potential risk.

📦 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 (309 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-codecommit 
Create a Python-based mini-application named 'CodeCommitHealthChecker' that leverages the 'aws-resource-validator-codecommit' package to validate and monitor AWS CodeCommit repositories. This tool should provide developers and DevOps engineers with a quick way to ensure their CodeCommit repositories adhere to certain best practices and policies. Here’s a step-by-step guide on what your application should achieve:

1. **Repository Validation**: Implement functionality to validate a given AWS CodeCommit repository against predefined schemas using the Pydantic models provided by 'aws-resource-validator-codecommit'. This includes checking if the repository has proper branch protection rules, webhook configurations, and other essential attributes.
2. **Health Checks**: Integrate health checks that periodically verify the status and availability of the repository, including checking for any recent changes or updates that might affect its compliance with the validation rules.
3. **Report Generation**: Develop a feature to generate detailed reports based on the validation results. These reports should highlight any issues found during the validation process and suggest corrective actions where possible.
4. **Alerting System**: Set up an alerting system that notifies users via email or Slack when a repository fails to meet the validation criteria or when there are significant changes in the repository's state.
5. **User Interface**: Although not mandatory, consider adding a simple command-line interface (CLI) that allows users to run the health checks manually or schedule them through cron jobs.

To utilize the 'aws-resource-validator-codecommit' package effectively, you'll need to familiarize yourself with its Pydantic models, which define the structure and constraints for various AWS CodeCommit resources. Use these models to validate repository configurations and ensure they comply with organizational standards. Additionally, explore how you can extend or customize these models to fit specific use cases or requirements.

💬 Discussion Feed

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