aws-console-app

v0.5.11 suspicious
6.0
Medium Risk

Console app for Amazon Bedrock chat and model discovery

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to potential shell execution and credential handling issues. While it seems functional, the lack of maintainer information and possible misuse of shell commands warrant caution.

  • Shell risk detected
  • Potential insecure handling of AWS credentials
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: Shell execution is detected and may be intended for local AWS command-line interface operations, but further investigation is needed to ensure it's not being used maliciously.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The package reads AWS configuration files which could indicate legitimate functionality but also poses a risk if not properly secured.
  • Metadata: The package has some red flags including lack of maintainer information and a GitHub repository link, but no clear signs of typosquatting or malicious intent.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

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

Some documentation present

  • Detailed PyPI description (15918 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

  • 35 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • _cli_executable() subprocess.run( [ aws_executable,
⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

  • y – Reads ~/.aws/config and ~/.aws/credentials to extract profile settings without relying on environment
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ 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-console-app 
Create a command-line tool using Python and the 'aws-console-app' package that allows users to interact with Amazon Bedrock models directly from their terminal. Your goal is to develop a user-friendly console application that enables users to discover available models, send prompts to these models, and receive responses back in real-time. This tool will serve as a powerful interface for developers and data scientists who prefer working in a terminal environment.

### Features:
- **Model Discovery:** Allow users to list all available Amazon Bedrock models, including their names, descriptions, and supported capabilities.
- **Prompt Sending:** Enable users to send custom prompts to selected models and receive the model's response.
- **Configuration Management:** Provide options for users to configure API keys, regions, and other settings required to interact with Amazon Bedrock.
- **Real-Time Interaction:** Implement a feature where users can have continuous conversations with the selected model without needing to restart the application.
- **Error Handling:** Ensure robust error handling to gracefully manage issues such as invalid inputs, connection errors, and timeouts.

### Utilizing 'aws-console-app':
- Use the 'aws-console-app' package to handle the core interactions with Amazon Bedrock, including discovering models and sending/receiving messages.
- Leverage any built-in functionalities provided by 'aws-console-app' to streamline the development process, such as pre-built commands or configuration management utilities.

### Development Steps:
1. **Setup Environment:** Install necessary packages including 'aws-console-app' and ensure your AWS credentials are properly configured.
2. **Model Discovery Module:** Develop a module that lists available models and provides details about each one.
3. **Prompt Sending Interface:** Create an interactive interface that allows users to input prompts and displays the model's response.
4. **Configuration Utility:** Build a configuration manager that allows users to set up their AWS environment and save preferences.
5. **Real-Time Chat Feature:** Implement a loop that allows for continuous interaction between the user and the model without needing to restart the application.
6. **Testing and Error Handling:** Test the application thoroughly, focusing on error handling and ensuring the application remains responsive under various conditions.
7. **Documentation and Deployment:** Write clear documentation explaining how to install and use the application, and consider deploying it to a package repository like PyPI for wider distribution.

💬 Discussion Feed

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