awsmap

v1.7.0 suspicious
4.0
Medium Risk

A fast, comprehensive tool for mapping and inventorying AWS resources across 150+ services and all regions

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network activity, shell execution, obfuscation, and credential handling. However, the metadata risk due to the maintainer's new or inactive account and lack of detailed author information raises some suspicion.

  • Metadata risk due to new/inactive maintainer account
  • Lack of detailed author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs 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, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/TocConsulting/awsmap#readme
  • Detailed PyPI description (31115 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 70 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 23 commits in TocConsulting/awsmap
  • Two distinct contributors found

🔬 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: tocconsulting.fr>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository TocConsulting/awsmap 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 awsmap 
Your task is to create a fully-functional mini-application named 'AWS Inventory Manager' using the Python package 'awsmap'. This application will serve as a powerful tool for AWS administrators and developers to easily map and inventory their AWS resources across multiple regions and services. Here are the steps and features you need to implement:

1. **Setup**: Start by installing the required packages including 'awsmap' and any other necessary dependencies.
2. **Authentication**: Implement a secure way to authenticate with AWS using IAM roles or access keys. Ensure that your application can handle different authentication methods.
3. **Resource Mapping**: Use 'awsmap' to map out all available AWS resources. This includes but is not limited to EC2 instances, S3 buckets, RDS databases, Lambda functions, etc., across all supported services.
4. **Inventory Generation**: Develop a feature to generate a comprehensive inventory of all mapped resources. This inventory should include details such as resource type, ID, region, creation date, and status.
5. **Visualization**: Create a simple yet effective visualization of the inventory data. This could be in the form of a graph, tree structure, or any other visually appealing format that helps users understand the layout of their AWS environment.
6. **Export Functionality**: Allow users to export the inventory data into various formats such as CSV, JSON, or Excel for further analysis or reporting.
7. **Custom Filters**: Implement filters so that users can search for specific resources based on criteria like region, service, or tags.
8. **User Interface**: Design a user-friendly interface that allows users to interact with the application easily. Consider both command-line and web-based interfaces depending on your preference and audience.
9. **Security Measures**: Ensure that sensitive information is handled securely, following best practices for data protection.
10. **Documentation**: Provide clear documentation explaining how to use the application, set up authentication, and interpret the output.

Remember, the goal is to make 'AWS Inventory Manager' a versatile and indispensable tool for managing AWS resources efficiently. Utilize 'awsmap' to its fullest potential to ensure that your application is robust and scalable.

💬 Discussion Feed

Leave a comment

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