AI Analysis
Final verdict: SUSPICIOUS
The package is un maintained and deprecated, raising concerns about its long-term security and support. The metadata risk score is elevated due to the maintainer's sparse information.
- Package is unmaintained and deprecated
- Metadata risk due to sparse maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing or very short and appears to be associated with only one package, which might indicate a new or less active account.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
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
Repository Voltionne/UniversalApplicationAssembler appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 PyUAA
Create a mini-assembler application using the PyUAA package in Python. Your application will allow users to define their own Instruction Set Architecture (ISA) through a YAML configuration file, and then use this configuration to assemble custom machine code from assembly-like instructions. Here are the steps and features your application should include: 1. **Application Setup**: Start by installing PyUAA and setting up a basic structure for your application. 2. **YAML Configuration File Creation**: Develop a feature that allows users to create and edit YAML files which define their ISA, including instruction mnemonics, opcodes, operand types, and addressing modes. 3. **Assembler Functionality**: Implement the core functionality of the assembler, which reads the user-defined YAML file, parses assembly input, and generates corresponding machine code based on the defined ISA. 4. **Error Handling**: Ensure robust error handling, providing clear feedback if there are issues with the YAML configuration or the assembly code. 5. **User Interface**: Optionally, you could develop a simple command-line interface or even a web-based interface for users to interact with the assembler. 6. **Testing and Documentation**: Write tests to validate the functionality of your assembler with various ISAs and assembly code snippets. Also, create comprehensive documentation to guide users on how to configure their ISAs and use the assembler. Use PyUAA's capabilities to abstract away the complexities of building an assembler, focusing instead on defining and testing new ISAs. This project will not only demonstrate the power of PyUAA but also provide a valuable tool for learning about computer architecture and assembly language.