aws-radar

v1.0.1 suspicious
4.0
Medium Risk

AWS resource inventory scanner and draw.io architecture diagram generator

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risk indicators but raises concerns due to missing repository and sparse author information, suggesting potential unreliability.

  • Metadata risk score of 6 out of 10
  • Repository not found and sparse author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires interaction with external services.
  • Shell: No shell execution detected, reducing risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository not being found and the author's information being sparse suggest potential risks, though not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_aws_radar.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2488 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: example.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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-radar 
Create a Python-based utility named 'CloudArchitect' that leverages the 'aws-radar' package to automate the process of generating architecture diagrams from your AWS resources. This utility should serve as a powerful tool for DevOps engineers and cloud architects to visualize and manage their cloud infrastructure more effectively.

Step 1: Setup and Configuration
- The application should allow users to configure their AWS credentials either through environment variables or a configuration file.
- Provide an option for users to select specific regions and services they want to include in the inventory scan.

Step 2: Inventory Scanning
- Use the 'aws-radar' package to scan the specified AWS resources and collect detailed information about each resource type (e.g., EC2 instances, S3 buckets, RDS databases).
- Ensure the collected data includes critical attributes such as resource IDs, names, types, and regions.

Step 3: Architecture Diagram Generation
- Based on the scanned inventory, generate a draw.io-compatible XML file that represents the cloud architecture visually.
- Customize the appearance of the generated diagram by allowing users to choose colors, shapes, and labels for different resource types.
- Include options for arranging the layout of the diagram automatically or manually.

Step 4: Output and Export
- Allow users to export the generated architecture diagram in various formats (SVG, PNG, PDF).
- Provide an option to save the exported files locally or upload them to an S3 bucket.

Suggested Features:
- Interactive command-line interface for easy navigation and configuration.
- Support for multiple AWS accounts and profiles.
- Real-time updates to the diagram based on changes in the AWS environment.
- Integration with CI/CD pipelines to automatically update diagrams after deployment.

How 'aws-radar' is Utilized:
- The 'aws-radar' package is used throughout the application to perform the initial scanning of AWS resources. It provides the necessary APIs to interact with various AWS services and gather comprehensive data about the cloud infrastructure. Additionally, it offers functionalities to format and structure the collected data into a suitable format for generating architecture diagrams.

💬 Discussion Feed

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