aws-resource-validator-resiliencehub

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risk indicators such as minimal network and shell activities, no signs of obfuscation or credential harvesting. However, incomplete author details and a single-package maintainer slightly elevate the metadata risk.

  • Low network and shell risk
  • No obfuscation or credential harvesting
  • Incomplete author details and single-package maintainer
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a tool focused on local validation.
  • Shell: No shell executions suggest the package is not executing commands that could lead to system-level changes.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of unauthorized access to secrets or credentials.
  • Metadata: The author details are incomplete and the maintainer has a single package, indicating potential unreliability.

📦 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 (318 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-resiliencehub 
Create a Python-based command-line tool named 'ResilientChecker' that leverages the 'aws-resource-validator-resiliencehub' package to assess the resilience of AWS resources. This tool will help users ensure their AWS infrastructure is robust against failures and disruptions. Here’s a detailed breakdown of what your tool should accomplish:

1. **Initialization**: Start by installing the necessary packages including 'aws-resource-validator-resiliencehub'. Ensure you have a valid AWS configuration setup.

2. **Resource Input**: Allow users to input a list of AWS resource identifiers (e.g., EC2 instances, RDS databases, S3 buckets). These inputs should be validated using the Pydantic models provided by 'aws-resource-validator-resiliencehub'.

3. **Validation Logic**: Implement logic to fetch details about each resource from AWS using Boto3 or similar libraries. Use the 'aws-resource-validator-resiliencehub' package to validate these resources against predefined resilience criteria (e.g., availability zones, backup strategies).

4. **Report Generation**: Generate a comprehensive report indicating which resources meet the resilience criteria and which do not. Include suggestions for improvement where applicable.

5. **Interactive Mode**: Offer an interactive mode where users can query individual resources for resilience checks without needing to provide a full list at once.

6. **Logging and Error Handling**: Ensure proper logging of operations and errors. Provide meaningful error messages to guide users through common issues like incorrect resource IDs or connectivity problems.

7. **Documentation and Help**: Create detailed documentation and include a help menu within the CLI tool to assist new users.

This project aims to streamline the process of ensuring AWS infrastructure resilience, making it easier for DevOps teams and system administrators to maintain high standards of reliability and availability.

💬 Discussion Feed

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