aws-resource-validator-cloudfront-keyvaluestore

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories with no direct evidence of malicious activities. The primary concern is the limited metadata provided by the author.

  • Low network risk
  • No shell execution detected
  • No obfuscation or credential harvesting patterns
  • Sparse author information
Per-check LLM notes
  • Network: Low risk; no network calls detected, but expected behavior might involve AWS API interactions which could be encrypted and not visible here.
  • Shell: No risk; no shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat related to stealing secrets or credentials.
  • Metadata: The author information is sparse, indicating potential lack of transparency or newness, but no concrete evidence of 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 (351 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-cloudfront-keyvaluestore 
Create a Python-based command-line tool named 'CloudFrontKVStoreChecker' that leverages the 'aws-resource-validator-cloudfront-keyvaluestore' package to validate and manage Amazon CloudFront Key-Value Stores. This utility will allow users to interact with their CloudFront distributions' key-value stores more efficiently by providing validation and management functionalities.

Step 1: Set up your development environment with Python 3.8 or higher and install the necessary packages including 'aws-resource-validator-cloudfront-keyvaluestore'.

Step 2: Define the core functionalities of your application:
- Validate the structure of input data against the Pydantic models provided by 'aws-resource-validator-cloudfront-keyvaluestore' before attempting any AWS API calls.
- Provide commands for listing all key-value pairs in a specified CloudFront distribution's key-value store.
- Implement functionality to add, update, delete, and retrieve specific key-value pairs from the key-value store associated with a given CloudFront distribution.

Step 3: Ensure the application is user-friendly by adding help messages, error handling, and informative output.

Suggested Features:
- Integrate with Boto3 for AWS SDK operations, ensuring secure access to AWS services.
- Implement caching mechanisms to reduce the number of API calls made to AWS.
- Allow users to specify multiple actions in a single command execution.
- Provide a configuration file option for storing default settings like AWS region and credentials.

How 'aws-resource-validator-cloudfront-keyvaluestore' is Utilized:
- Use the Pydantic models from the package to ensure that all data passed to AWS APIs is correctly formatted according to AWS specifications, reducing the likelihood of errors during execution.
- Leverage the package's namespace extension capabilities to streamline code and improve readability.

💬 Discussion Feed

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