aws-resource-validator-appstream

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk indicators with no network calls, shell executions, obfuscations, or credential risks detected. However, the metadata risk score is slightly elevated due to incomplete author details.

  • No network calls detected
  • Incomplete author details
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 unexpected system command executions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage without the risk of stealing secrets or credentials.
  • Metadata: The author's details are incomplete, suggesting a potentially less reputable source.

📦 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 (306 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-appstream 
Create a Python-based CLI tool named 'AppStreamResourceChecker' that leverages the 'aws-resource-validator-appstream' package to validate and audit AppStream resources within AWS environments. This tool should allow users to check the compliance of their AppStream resources against predefined schemas provided by the 'aws-resource-validator-appstream' package.

Step 1: Set up your development environment with Python 3.8 or higher, and install necessary dependencies including 'aws-resource-validator-appstream'.

Step 2: Design a user-friendly command-line interface (CLI) where users can input details of their AppStream resources such as fleet names, image names, and stack IDs.

Step 3: Implement functionality within the tool to fetch real-time data from AWS AppStream using the Boto3 SDK. Ensure that the fetched data can be validated against schemas from the 'aws-resource-validator-appstream' package.

Step 4: Integrate error handling mechanisms to provide clear feedback to users when validation fails due to incorrect inputs or discrepancies between the fetched data and the schemas.

Step 5: Add logging capabilities to record all actions performed by the tool, including successful validations and any errors encountered.

Suggested Features:
- Support for multiple AppStream resources validation at once.
- Detailed reporting of validation results, highlighting any non-compliance issues.
- Configuration file support for storing user credentials securely and setting default validation rules.
- Option to output validation results in various formats (JSON, CSV).
- Interactive mode for testing specific scenarios without needing to manually input resource details each time.

💬 Discussion Feed

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