🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential code injection risks due to the use of eval and dynamic execution, despite having low scores in other categories such as network and shell risks.

Obfuscation risk due to eval usage
Low community engagement and new maintainer

Per-check LLM notes

Network: No network calls detected, which is normal and expected unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no risk of executing arbitrary commands on the user's system.
Obfuscation: The use of eval and dynamic execution with limited context suggests potential for code injection or obfuscation, increasing the risk.
Credentials: No direct patterns indicative of credential harvesting were found.
Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

ssert isinstance( eval(func, {self.__function_variable: 0, "math": math}), int
) or isinstance( eval(func, {self.__function_variable: 0, "math": math}), float
st": abs( eval(func, {"x": f_to, "math": math}) - eval(
math}) - eval(func, {"x": f_from, "math": math}) ),
filling y_val = eval(f["func"], {self.__function_variable: f_x, "math": math})
: math}) y_min = eval( f["func"], {self.__function_variable: func[

✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "marcelm9" 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 PygameXtras

Create a simple interactive quiz application using the Python package 'PygameXtras'. This app will allow users to answer multiple-choice questions on a variety of topics such as history, science, and geography. Each question will have four possible answers, and the user must select one before moving on to the next question. After answering all questions, the application will display the user's score and provide feedback on their performance.

The application should include the following features:
1. A clean and intuitive graphical user interface (GUI) that uses buttons, labels, and other widgets provided by PygameXtras to enhance interactivity and visual appeal.
2. At least ten questions across three different categories (history, science, geography).
3. Real-time feedback for each question answered correctly or incorrectly.
4. An end-of-game summary that shows the total number of questions answered correctly, incorrectly, and the percentage score.
5. Option to restart the quiz from the beginning after viewing the results.

To utilize PygameXtras, you'll need to import its modules to create buttons, labels, and other UI elements. Use these elements to design the main menu where users can start the quiz or exit the game. Implement buttons for navigating between questions and selecting answers. Additionally, use labels to display questions, options, scores, and feedback messages during the quiz session.

Ensure the code is well-documented and includes comments explaining how PygameXtras functions are integrated into the quiz application.