AI Analysis
Final verdict: SUSPICIOUS
The package exhibits significant shell risk due to potential PowerShell execution, which could be indicative of malicious intent. However, without additional evidence of harmful behavior, it remains suspicious rather than outright malicious.
- High shell risk due to PowerShell execution capability
- Low maintainer activity and poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: Detection of PowerShell execution may indicate potential shell command execution capabilities that could be used for malicious purposes like backdoors or privilege escalation.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low maintainer activity and poor metadata quality, but there's no clear indication of malicious intent.
Package Quality Overall: Low (1.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 4.0
Found 2 shell execution pattern(s)
ND_SZ, new_path) subprocess.run( ["powershell", "-NoProfile", "-Command",ue, ) subprocess.run( ["powershell", "-NoProfile", "-Command",
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with auraPL
Create a fully-functional mini-application using the Python package 'auraPL', which is a custom programming language designed for educational purposes. This application will serve as an interactive interpreter and compiler for beginners learning programming concepts through the auraPL language. Here’s a detailed guide on how to proceed: 1. **Project Overview**: Develop an application named 'auraIDE' (aura Interactive Development Environment) that allows users to write, run, and debug auraPL code directly within the app. 2. **Core Features**: - **Code Editor**: Implement a basic text editor where users can write auraPL code. - **Interactive Console**: Display output of executed code in real-time. - **Syntax Highlighting**: Highlight syntax elements like keywords, comments, strings, etc., to enhance readability. - **Error Handling**: Provide meaningful error messages when the code contains syntax errors or logical issues. - **Basic Debugging Tools**: Include breakpoints, step-by-step execution, and variable inspection functionalities. 3. **Implementation Steps**: - **Step 1: Setup Environment**: Initialize your Python environment and install the auraPL package. Ensure you have all necessary dependencies installed. - **Step 2: Design the User Interface**: Use a library like PyQt or Tkinter to create the UI components such as the code editor and console window. - **Step 3: Integrate auraPL Parser**: Utilize the auraPL package to parse the user input. This involves calling the appropriate functions from the package to interpret and compile the code. - **Step 4: Implement Real-Time Execution**: Allow users to execute their code instantly as they type, showing immediate results in the console. - **Step 5: Add Error Handling and Debugging Tools**: Enhance user experience by adding robust error handling and debugging tools that help users understand and fix their code. 4. **Testing and Documentation**: Thoroughly test the application with various code snippets to ensure reliability and accuracy. Document the usage of auraIDE, including setup instructions, feature descriptions, and troubleshooting tips. This project not only showcases the capabilities of the auraPL language but also provides a valuable tool for learners and educators alike.
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