aws-resource-validator-sqs

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all assessed categories with no network calls, shell executions, or obfuscation techniques observed. However, the metadata risk due to the maintainer's account status warrants closer monitoring.

  • Low network and shell risk
  • Maintainer's account status is new or inactive
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 immediate risk of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, which raises some concerns but not enough to conclusively indicate 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 (288 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-sqs 
Create a Python-based mini-application that serves as a comprehensive SQS resource validator and analyzer. This tool will allow users to input SQS queue URLs and validate them against Pydantic v2 models provided by the 'aws-resource-validator-sqs' package. The application should perform the following steps:

1. Accept SQS queue URL(s) from the user.
2. Validate the input URLs using the 'aws-resource-validator-sqs' package.
3. Retrieve metadata of the validated queues.
4. Analyze the retrieved metadata to provide insights about the queue, such as its visibility timeout, message retention period, and number of messages available.
5. Display a summary report of the analysis.

Suggested Features:
- Support for multiple queue URLs input at once.
- Option to filter and display specific attributes of the queue(s).
- Ability to save the analysis report in a file format like JSON or CSV.
- CLI interface for easy command-line usage.
- Integration with AWS SDK (boto3) for interacting with AWS services.

The 'aws-resource-validator-sqs' package will be utilized primarily for the validation step, ensuring that the provided SQS queue URLs conform to expected standards before further processing.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!