aws-resource-validator-pinpoint-sms-voice-v2

v2.0.3 suspicious
4.0
Medium Risk

Pydantic v2 models for AWS pinpoint_sms_voice_v2, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of malicious activity such as network calls, shell executions, or credential harvesting. However, the incomplete author information and the maintainer's limited history with package development raise some concerns.

  • Incomplete author information
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local validation without external dependencies.
  • Shell: No shell execution patterns detected, aligning with expectations for a non-malicious Python library.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer has only one package, which could indicate a less experienced or potentially suspicious actor.

📦 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 (342 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-pinpoint-sms-voice-v2 
Create a Python-based mini-application that serves as a resource validator for Amazon Pinpoint SMS and Voice services using the 'aws-resource-validator-pinpoint-sms-voice-v2' package. Your application should allow users to input specific configurations for their SMS and Voice campaigns and then validate these configurations against AWS standards to ensure they are compliant and ready for deployment. Here’s a detailed breakdown of the steps and features your application should include:

1. **User Input Interface**: Develop a simple command-line interface (CLI) where users can input the necessary details for their SMS and Voice campaigns, such as campaign name, message content, phone numbers, and other relevant parameters.
2. **Configuration Validation**: Utilize the 'aws-resource-validator-pinpoint-sms-voice-v2' package to validate the user inputs against AWS standards. This includes checking if all required fields are present, ensuring data types are correct, and verifying compliance with AWS guidelines for SMS and Voice campaigns.
3. **Error Reporting**: If any configuration fails validation, your application should clearly report the errors back to the user, indicating which fields or values are incorrect and providing suggestions on how to fix them.
4. **Validation Report Generation**: Upon successful validation, generate a report summarizing the validated configuration details. This report could be in the form of a text file or a formatted console output, highlighting key information about the validated campaign.
5. **Integration with AWS SDK**: Optionally, extend your application to integrate with the AWS SDK for Python (Boto3) to directly create and deploy the validated campaigns to Amazon Pinpoint.

Your application should demonstrate proficiency in utilizing the 'aws-resource-validator-pinpoint-sms-voice-v2' package for validation purposes, showcasing its capabilities in ensuring compliance and accuracy in AWS Pinpoint SMS and Voice configurations.

💬 Discussion Feed

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