aws-resource-validator-opensearchserverless

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct signs of malicious activity such as network calls, shell execution, or obfuscation. However, the incomplete author information and potentially inactive maintainer account raise concerns about its origin and maintenance.

  • Incomplete author information and possibly inactive maintainer account
  • No detected network calls, shell execution, obfuscation, or credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete, and the account seems new or inactive, raising some suspicion 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 (339 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-opensearchserverless 
Your task is to develop a command-line utility named 'OpensearchValidator' using Python. This tool will help developers and DevOps engineers validate their AWS OpenSearch Serverless resources before deploying them. The utility will leverage the 'aws-resource-validator-opensearchserverless' package, which provides Pydantic v2 models for AWS OpenSearch Serverless, ensuring that resource configurations adhere strictly to AWS standards and best practices.

The application should perform the following core functions:
1. **Resource Validation**: Accept input from a JSON file containing OpenSearch Serverless resource configurations and validate these against Pydantic models provided by 'aws-resource-validator-opensearchserverless'.
2. **Error Reporting**: If any configuration fails validation, provide clear error messages indicating what went wrong and where in the JSON file.
3. **Configuration Suggestions**: For each failed validation, suggest potential corrections or improvements to the configuration.
4. **Report Generation**: After processing all resources, generate a report summarizing which configurations passed validation and which ones did not, along with any suggested fixes.
5. **Interactive Mode**: Include an interactive mode where users can input resource configurations directly through the CLI and receive real-time feedback on their validity.

Additionally, consider adding these advanced features:
- **Integration with CI/CD Pipelines**: Allow the tool to integrate seamlessly with popular CI/CD tools like GitHub Actions, Jenkins, etc., by providing options to automatically run validations during deployment processes.
- **Custom Rule Enforcement**: Enable users to define custom validation rules that extend beyond the default Pydantic models, allowing for more granular control over resource configurations.
- **Real-Time Feedback**: In the interactive mode, provide real-time feedback as users type their configurations, highlighting syntax errors and suggesting corrections.

To achieve these functionalities, you will need to utilize the 'aws-resource-validator-opensearchserverless' package extensively. Specifically, you will import and use its Pydantic models to define schemas for validating different types of OpenSearch Serverless resources such as collections, security config, access policies, etc. Your code should demonstrate a deep understanding of how to work with Pydantic models, including model instantiation, data validation, and error handling.

Ensure your project is well-documented, with clear instructions on how to install dependencies, set up the environment, and run the utility both interactively and via script. Also, include example configurations and test cases to showcase the tool's capabilities.

💬 Discussion Feed

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