AI Analysis
The package exhibits several risky behaviors including potential credential mishandling and obfuscation techniques, which raise concerns about its legitimacy and safety.
- Potential credential risk due to insecure handling
- Use of obfuscation techniques that may serve malicious purposes
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package should be making them.
- Shell: Shell execution is present and could be legitimate if the package requires building UI assets, but it may also indicate potential risks like executing arbitrary commands.
- Obfuscation: The use of base64 encoding and partial code suggests potential obfuscation, but could also be part of normal cryptographic operations.
- Credentials: Direct use of getpass for password input without secure handling indicates risk of credential exposure or misuse.
- Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not definitive evidence of malice.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. test_archive_support.py)
Some documentation present
Detailed PyPI description (3427 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
143 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
) actual = base64.b64decode(digest.encode("ascii")) return hmac.compare_dige
Found 3 shell execution pattern(s)
command.name completed = subprocess.run(["bash", script_path] + forwarded_args, env=env, check=False/dist before packaging") subprocess.run([npm_cmd, "install"], cwd=ui_dir, check=True) subprocess, cwd=ui_dir, check=True) subprocess.run([npm_cmd, "run", "build"], cwd=ui_dir, check=True) class b
Found 2 credential access pattern(s)
word is None: first = getpass.getpass("New admin password: ") second = getpass.getpass("Copassword: ") second = getpass.getpass("Confirm new admin password: ") if first != second:
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'AppBuddy' that serves as a personal app management tool using the Python package 'aivudaappstore'. This tool will help users keep track of their installed apps on their device and manage them efficiently. Hereβs how you can structure your project: 1. **Setup Project**: Begin by installing the 'aivudaappstore' package via pip. Ensure your environment is set up correctly. 2. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with 'AppBuddy'. This CLI should allow users to view their installed applications, search for new ones, and uninstall existing apps. 3. **Core Functionality**: - **List Installed Apps**: Integrate with 'aivudaappstore' to retrieve a list of all installed applications on the user's system. Display these in a user-friendly format. - **Search for New Apps**: Implement a feature that allows users to search for new applications available in the AppStore. Utilize 'aivudaappstore' to fetch data about these applications. - **Uninstall Apps**: Provide functionality for users to uninstall applications directly from the CLI. Ensure that the process is secure and reversible if possible. 4. **Enhanced Features**: - **Rating and Reviews**: Allow users to rate and leave reviews for applications they have installed. Store these locally or consider integrating with a remote database for sharing across devices. - **Recommendations**: Based on the user's history of installed and rated applications, provide personalized recommendations for new apps. 5. **Security and Privacy**: Ensure that all interactions with 'aivudaappstore' and user data are handled securely. Avoid storing sensitive information and always inform users before performing actions like uninstalling apps. 6. **Documentation and Testing**: Write comprehensive documentation for both users and developers. Include examples of how to use 'AppBuddy', and ensure thorough testing to catch any bugs or usability issues early on. Your goal is to create a robust, user-friendly application that leverages 'aivudaappstore' to enhance the app management experience for end-users.
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