🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as network calls, shell executions, or credential harvesting. However, its novelty, lack of maintainer history, and absence of a GitHub repository increase suspicion.

New package with limited maintainer history
No associated GitHub repository

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct system command invocation.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package is brand new with limited maintainer history and no associated GitHub repository, raising some suspicion but not conclusive evidence of malice.

🔬 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

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 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "V011DZ" 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 LuPack

Create a mini-application called 'LuaPythonBridge' that acts as a bridge between Python and Lua environments, allowing users to seamlessly integrate Python functionality into their Lua scripts. This application will serve as a proof-of-concept for the LuPack package, showcasing its ability to utilize Python packages within Lua scripts.

Step-by-Step Guide:
1. Initialize a new Python environment and install the LuPack package along with any necessary Python libraries (e.g., NumPy, Pandas).
2. Develop a simple Lua script that imports and utilizes a Python module via LuPack. For instance, create a script that performs basic mathematical operations using NumPy.
3. Implement a feature in LuaPythonBridge that allows users to execute Lua scripts containing Python code snippets through a command-line interface.
4. Extend the application by adding support for real-time data processing using Pandas within Lua scripts.
5. Ensure that LuaPythonBridge includes error handling mechanisms to manage issues arising from incorrect usage of Python packages within Lua scripts.
6. Document the process and showcase how each step leverages the unique capabilities of LuPack to facilitate integration between Python and Lua.

Suggested Features:
- Interactive command-line interface for executing Lua scripts with embedded Python code.
- Support for multiple Python modules and libraries.
- Real-time feedback on execution status and errors.
- Comprehensive documentation detailing setup instructions and usage examples.

Utilization of LuPack:
LuPack will be crucial in enabling LuaPythonBridge to import and use Python packages directly within Lua scripts. Users will write Lua scripts that include LuPack commands to load Python modules and call functions from those modules. LuaPythonBridge will then interpret these scripts, utilizing LuPack to execute the Python components and return results back to Lua.