aws-resource-validator-finspace

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network, shell, and obfuscation activities. However, incomplete maintainer metadata and potential inactivity raise concerns about its legitimacy.

  • Incomplete maintainer metadata
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls suggest the package is not attempting to communicate externally without reason, which is normal.
  • Shell: No shell execution patterns indicate the package does not attempt to execute system commands, reducing risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of unauthorized access.
  • Metadata: The maintainer's author information is incomplete, and they may be new or inactive, which raises some suspicion but not enough to conclusively identify 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 (303 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-finspace 
Create a Python utility named 'FinValidator' that leverages the 'aws-resource-validator-finspace' package to validate AWS FinSpace resources. This tool should serve as a robust validator for developers and administrators working with AWS FinSpace, ensuring that their configurations meet the required standards set by AWS.

Step 1: Initialize your Python environment and install necessary packages including 'aws-resource-validator-finspace'.

Step 2: Design the main functionality of 'FinValidator' to accept user input for various AWS FinSpace resource types such as Data Assets, Environments, and Users. The tool should validate these inputs against the Pydantic v2 models provided by 'aws-resource-validator-finspace'.

Step 3: Implement a feature within 'FinValidator' that allows users to specify whether they want a verbose output, which would include detailed validation messages explaining why a particular configuration passes or fails validation.

Step 4: Add support for reading resource configurations from JSON files. Users should be able to point 'FinValidator' to a JSON file containing configurations for multiple FinSpace resources, and the tool should validate each one individually.

Step 5: Integrate error handling into 'FinValidator' to gracefully manage invalid inputs and provide clear error messages to the user.

Suggested Features:
- Support for validating additional AWS FinSpace resource types beyond the initial three mentioned.
- A command-line interface (CLI) for easy use from the terminal.
- An option to automatically correct minor issues found during validation, if applicable.
- Integration with AWS CLI for seamless authentication and resource retrieval.

The 'aws-resource-validator-finspace' package is utilized throughout the project by importing its Pydantic models to define the structure and rules for valid AWS FinSpace resources. These models are then used in the validation process to ensure that user-provided configurations adhere to the expected schema.

💬 Discussion Feed

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