aws-resource-validator-integration

v2.0.3 suspicious
4.0
Medium Risk

Messaging, events, workflows, comms, contact center

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network, shell, and obfuscation activities. However, the incomplete author information and single-package maintainer status raise some concerns about potential supply-chain risks.

  • Incomplete author information
  • Single-package maintainer
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a tool focusing on local resource validation.
  • Shell: No shell execution suggests the package does not attempt to run commands with elevated privileges.
  • 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 may indicate a less experienced or potentially suspicious maintainer.

📦 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 (268 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-integration 
Create a customer service automation tool using Python and the 'aws-resource-validator-integration' package. This tool will streamline the communication between customers and a support team by automating certain tasks such as sending notifications, managing workflows, and integrating with AWS services like SNS and SQS for messaging and event-driven architecture.

### Project Goals:
- Automate customer onboarding emails and welcome messages upon sign-up.
- Implement a ticket creation system where customers can submit issues or inquiries through a simple form or API call.
- Set up an auto-response system to acknowledge receipt of tickets and provide an estimated resolution time.
- Use workflows to route tickets to the appropriate support team member based on the type of issue.
- Integrate with a contact center solution to allow for seamless handover from automated responses to live agent assistance when necessary.

### Key Features:
1. **Customer Onboarding**: Automatically send a welcome email and SMS message to new users after they sign up.
2. **Ticket Submission**: Allow customers to submit support tickets via a web form or API endpoint. Each ticket should include basic information like name, email, description of the problem, and urgency level.
3. **Auto-Response System**: Upon receiving a new ticket, the system should automatically respond to the customer with an acknowledgment message and an estimated resolution timeline.
4. **Workflow Management**: Based on the nature of the issue (e.g., technical, billing, general inquiries), the ticket should be routed to the most suitable support team member.
5. **Contact Center Integration**: Provide a feature for transferring unresolved tickets to a live agent if the issue cannot be resolved through automated means.

### Utilizing 'aws-resource-validator-integration':
- **Message Handling**: Use the package to validate and manage the sending of emails and SMS messages through AWS SNS.
- **Event Driven Architecture**: Leverage AWS EventBridge to trigger workflows and actions based on different events such as ticket submission or status changes.
- **Queue Management**: Implement SQS queues to handle incoming ticket submissions efficiently and ensure no tickets are lost during processing.
- **Resource Validation**: Ensure all AWS resources used in the application are correctly configured and validated using the 'aws-resource-validator-integration' package to maintain security and compliance standards.

This project aims to demonstrate the power of combining Python with AWS services to create robust, scalable, and efficient customer service solutions.

💬 Discussion Feed

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