🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a low risk score due to minimal detected risks, but the metadata risk suggests potential low effort in development, which may warrant further investigation.

Low network and shell risk
No signs of obfuscation or credential harvesting
Metadata risk indicating low developer activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell executions detected, indicating no immediate risk of command execution vulnerabilities.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low activity and lack of classifiers suggest low effort, potentially indicating a less serious threat but still warrants caution.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository MaaXYZ/MaaFramework appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "MaaXYZ" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with MaaFw

Create a fully-functional mini-app that leverages the MaaFw package for automating the testing of a simple graphical user interface (GUI) application. This mini-app will serve as an example of how MaaFw can be integrated into a real-world scenario to perform black-box testing through image recognition. The goal is to simulate user interactions and verify the correctness of the GUI application's responses.

### Features:
- **Setup**: Initialize the environment with the necessary dependencies, including MaaFw.
- **Target Application**: Develop a basic GUI application using a Python GUI toolkit like Tkinter. This application should have at least three interactive elements: a button, a text entry field, and a label.
- **Test Cases**: Define several test cases that cover different scenarios such as clicking the button, entering text into the text field, and verifying the label updates correctly.
- **Automation Script**: Write an automation script using MaaFw that simulates user interactions based on predefined test cases. The script should capture screenshots before and after each action to compare expected vs. actual outcomes.
- **Reporting**: Implement a simple reporting mechanism that logs the results of each test case, indicating whether the test passed or failed based on the comparison of expected and actual screenshots.
- **User Interface**: Optionally, create a minimalistic UI for the mini-app where users can select which test cases to run and view the results.

### Steps:
1. **Environment Setup**:
- Install Python and set up a virtual environment.
- Install MaaFw and any other required packages.
2. **Develop Target Application**:
- Use Tkinter to create a simple GUI application with a button, text entry field, and label.
3. **Define Test Cases**:
- Create a list of test cases that include actions like clicking buttons, typing into fields, and checking for label updates.
4. **Write Automation Script**:
- Utilize MaaFw to automate the execution of the defined test cases. Capture screenshots before and after each interaction to evaluate the changes.
5. **Implement Reporting**:
- Log the results of each test case in a readable format, indicating success or failure.
6. **Optional User Interface**:
- Design a simple UI where users can choose which test cases to execute and view the results directly from the mini-app.
7. **Testing and Debugging**:
- Run the mini-app against the target application and ensure all test cases function as intended.
8. **Documentation**:
- Provide clear documentation on how to install, configure, and use the mini-app, including explanations of the MaaFw integration and test case design.