🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk due to shell commands being used to manipulate file visibility, potentially for concealing actions. Additionally, the maintainer's inactivity and lack of community engagement raise concerns about its reliability.

Shell risk due to file hiding/unhiding commands
Inactive maintainer and low community engagement

Per-check LLM notes

Network: No network calls detected, indicating no immediate risk from that perspective.
Shell: Shell commands detected are used to hide and unhide files, which could indicate attempts to conceal actions. However, without additional context, the risk is moderate.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

hPath in fdPath: subprocess.run(f"attrib +H {hPath}", shell=True) except Exception as e
hPath in fdPath: subprocess.run(f"attrib -H {hPath}", shell=True) except Exception as e
ess.run(f"attrib +H {hPath}", shell=True) except Exception as ex: print(ex) ra
ess.run(f"attrib -H {hPath}", shell=True) except Exception as ex: print(ex) ra

✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Ryuji Hazama" 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 MapleX

Create a fully-functional mini-application named 'LogMaster' using the Python package 'MapleX'. This application will serve as a versatile logging tool for developers, capable of handling various logging tasks efficiently. Here are the steps and features you need to implement:

1. **Setup**: Initialize your Python environment and install the MapleX package. Ensure that the application can run on any standard Python 3.8+ environment.
2. **Logging System**: Implement a robust logging system that allows users to log messages at different levels (debug, info, warning, error, critical). Use MapleX's logging capabilities to manage these logs effectively.
3. **JSON Operations**: Integrate MapleX's JSON file operations to store configuration settings for the logging system. Users should be able to set up their preferred logging level, output format, and file path through a JSON configuration file.
4. **Custom Console Output**: Utilize MapleX's console color utilities to enhance the readability of logged messages in the console. Differentiate between debug, info, warning, error, and critical messages by assigning unique colors.
5. **File Format Handling**: Extend the functionality of LogMaster by adding support for a custom 'Maple' file format, which can be used for storing log entries. This feature should use MapleX's Maple file format operations.
6. **User Interface**: Develop a simple command-line interface (CLI) for interacting with LogMaster. The CLI should allow users to start/stop logging, view logs, configure logging settings, and manage 'Maple' files.
7. **Testing and Documentation**: Write comprehensive tests to ensure all functionalities work as expected. Also, provide clear documentation explaining how to install, configure, and use LogMaster.

In each of these steps, leverage MapleX's core features to streamline the development process and enhance the functionality of LogMaster.