aws-resource-validator-ebs

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk based on the analysis notes, with no detected network calls, shell executions, obfuscations, or credential harvesting patterns. The metadata risk is slightly elevated due to incomplete author information and potentially inactive account status.

  • Low network and shell execution risks
  • No obfuscation or credential harvesting patterns detected
  • Metadata risk due to incomplete author details
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local validation without external dependencies.
  • Shell: No shell execution detected, which is expected as typical package operations do not require executing system commands.
  • 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 account seems new or inactive, raising some concerns but not definitive 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 (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-ebs 
Create a command-line tool named 'EBSHealthChecker' using Python and the 'aws-resource-validator-ebs' package. This tool will help system administrators and DevOps engineers to quickly assess the health and compliance of their Amazon Elastic Block Store (EBS) volumes within their AWS environment. Here are the steps and features you should implement:

1. **Setup**: Start by installing the necessary Python packages including 'aws-resource-validator-ebs'. Ensure your application reads from AWS credentials stored in the standard AWS SDK locations.
2. **EBS Volume Validation**: Utilize the Pydantic models provided by 'aws-resource-validator-ebs' to fetch and validate EBS volume data from AWS. Your tool should be able to filter volumes based on tags, status, size, type, etc.
3. **Compliance Check**: Implement a feature where the tool checks if each EBS volume complies with specific criteria such as having encryption enabled, being in the correct availability zone, or having the appropriate snapshot retention policy.
4. **Health Report Generation**: After validation and compliance checking, generate a detailed report for each EBS volume. The report should include volume ID, size, type, creation time, status, and any compliance issues identified.
5. **Interactive CLI Interface**: Develop an interactive command-line interface that allows users to input filters for volumes (e.g., by tag, by status) and view compliance reports directly from the terminal.
6. **Export Options**: Provide options to export the health and compliance reports in different formats like JSON, CSV, or PDF.
7. **Error Handling**: Ensure robust error handling is in place to manage cases where AWS API calls fail, invalid inputs are given, or network issues occur.
8. **Documentation**: Write comprehensive documentation explaining how to install the tool, use it effectively, and interpret the generated reports.

This project aims to streamline the process of monitoring and maintaining EBS volumes, ensuring they meet organizational standards and are functioning optimally.

💬 Discussion Feed

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