AI Analysis
The package exhibits several concerning behaviors including high shell execution risk and moderate obfuscation, which could indicate malicious intent. However, there is insufficient evidence to conclusively label it as malicious.
- High shell risk due to execution of external commands
- Moderate obfuscation through base64 and utf-8 decoding
Per-check LLM notes
- Network: Local network calls to localhost suggest internal communication, but unusual endpoints may indicate unexpected behavior.
- Shell: Execution of external commands can be risky, especially without clear justification, indicating potential for unauthorized actions.
- Obfuscation: Base64 decoding and UTF-8 decoding suggest some level of obfuscation, but without context it's unclear if this is malicious or for legitimate purposes such as data encryption.
- Credentials: No clear patterns indicative of credential harvesting were detected.
- Metadata: The author's lack of information and a single package suggest potential risk, but no clear malicious intent is indicated.
Package Quality Overall: Low (2.4/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
401 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
Found 3 network call pattern(s)
f get_asenv(): response = requests.get("http://127.0.0.1:9097/env") if response.status_code ==get_devices(): response = requests.get("http://127.0.0.1:9097/api/device") if response.status_celse: response = requests.get("http://127.0.0.1:9097/api/device") if response.stat
Found 2 obfuscation pattern(s)
ype }) return base64.b64decode(data['value']).decode('utf-8') def appium_settings(self["value"] raw_value = base64.b64decode(value) buf = io.BytesIO(raw_value) im = Imag
Found 3 shell execution pattern(s)
# run_process = subprocess.Popen(cmds, cwd=module_space, stdout=subprocess.PIPE, stderr=subpress.kill() run_process = subprocess.Popen(cmds, cwd=module_space, stdout=subprocess.PIPE, stderr=subpr._udid, 'xctest'] p = subprocess.Popen(args, stdin=subprocess.DEVNULL,
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based desktop application that serves as a personal coding assistant, utilizing the 'ascript-tip' package to enhance its functionality. This application will help users remember and utilize various programming APIs and libraries by providing detailed documentation and autocompletion tips directly within the app interface. Hereβs a step-by-step guide on how to develop this mini-app: 1. **Project Setup**: Start by setting up your Python environment. Ensure you have Python installed, and then install necessary packages such as PyQT5 for the GUI and 'ascript-tip' for API documentation. 2. **Application Structure**: Design the main window layout using PyQT5. Include sections for input fields where users can enter API names or library names they need information about, and output areas where the app will display the retrieved documentation. 3. **Integrating 'ascript-tip'**: Utilize the 'ascript-tip' package to fetch and display signatures and docstrings of APIs and libraries without needing to run any code or import dependencies. This will provide users with quick access to essential details like parameter types, return values, and usage examples. 4. **Search Functionality**: Implement a search function that allows users to query specific APIs or libraries. Upon entering a query, the app should use 'ascript-tip' to retrieve relevant documentation and display it in the output area. 5. **Autocompletion Feature**: Enhance the user experience by adding an autocompletion feature. As users type into the input field, suggest possible completions based on known API names and library functions, making it easier to find the right information quickly. 6. **Customization Options**: Allow users to customize their experience by saving frequently accessed APIs and libraries. Users should be able to add entries to a favorites list, which can be easily accessed from the main menu. 7. **User Interface Enhancements**: Make the application visually appealing and user-friendly. Use icons, color schemes, and layouts that make navigation intuitive and enjoyable. 8. **Testing and Debugging**: Thoroughly test the application to ensure all features work as expected. Pay special attention to how 'ascript-tip' integrates with the rest of the application, ensuring seamless performance and accurate information retrieval. 9. **Deployment**: Prepare the application for deployment. Package it as an executable file that can be distributed to other users, ensuring compatibility across different systems. 10. **Documentation and Support**: Write comprehensive documentation explaining how to use the application effectively. Provide support resources for users who encounter issues or need further assistance. By following these steps and leveraging the capabilities of the 'ascript-tip' package, you'll create a valuable tool that helps programmers stay productive and efficient.
π¬ Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue