🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a high level of obfuscation through the use of exec and compile functions, raising concerns about potential malicious intent. However, there are no direct indicators of network, shell, or credential risks.

High obfuscation risk due to exec and compile function usage
Incomplete author information and potentially inactive maintainer

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell executions detected, which is expected unless the package requires command-line operations.
Obfuscation: The use of exec and compile functions with error handling suggests an attempt to run arbitrary code, which is often used in malicious contexts for obfuscation.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The author information is incomplete and the maintainer seems to be new or inactive, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

return 1 try: exec(compiled, globs) except SystemExit as exc: code_val = e
) try: compiled = compile(code, "<code-mode>", "exec") except SyntaxError: traceback.print_exc()

✓ 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: a2anet.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository A2ANet/adk-code-mode 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 adk-code-mode-sandbox

Create a Python-based mini-application named 'CodeSandboxRunner' that leverages the 'adk-code-mode-sandbox' package to execute code snippets within a secure sandbox environment. This application will serve as a simple online code execution platform where users can input their code, select the programming language they want to use, and see the output immediately without needing to install any software on their local machine. Here are the steps and features to implement:

1. **Setup**: Begin by installing the 'adk-code-mode-sandbox' package and setting up a basic Flask web server to handle HTTP requests.
2. **User Interface**: Design a clean and intuitive HTML/CSS frontend using Bootstrap for easy user interaction. Include fields for code input, language selection, and a button to submit the code.
3. **Backend Logic**: Implement the backend logic using Python and 'adk-code-mode-sandbox'. When the user submits code, your application should:
- Validate the selected language and ensure it's supported by 'adk-code-mode-sandbox'.
- Use 'adk-code-mode-sandbox' to create a secure sandbox environment for executing the code snippet.
- Capture the output of the executed code and display it back to the user.
4. **Security Measures**: Since security is paramount, ensure that your sandbox environment restricts access to system resources and prevents malicious code from causing harm. Use 'adk-code-mode-sandbox' functionalities to enhance these security measures.
5. **Error Handling**: Implement robust error handling to manage cases where the code fails to execute correctly. Display meaningful error messages to help users understand and fix issues.
6. **Testing and Deployment**: Before deploying your application, thoroughly test it to ensure all features work as expected. Once tested, deploy your application to a cloud service like AWS or Heroku.
7. **Documentation**: Provide clear documentation on how to use the application, including setup instructions and examples of supported languages and commands.

By following these steps, you'll have created a valuable tool for developers and learners alike, allowing them to experiment with code snippets in a safe and isolated environment.