HumanMoveMouse

v1.2.0 safe
1.0
Low Risk

A human-like mouse movement automation tool based on real trajectory data

πŸ€– AI Analysis

Final verdict: SAFE

The package HumanMoveMouse v1.2.0 has been assessed and found to have no significant risks associated with it. It does not engage in any network calls, shell executions, or credential harvesting, making it safe for use.

  • No network calls
  • No shell execution
  • No obfuscation
  • No credential risk
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package that moves the mouse.
  • Shell: No shell execution detected, which aligns with the expected functionality of moving the mouse.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository TomokotoKiyoshi/HumanMoveMouse appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "TomokotoKiyoshi" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with HumanMoveMouse
Create a desktop application named 'SmoothCrawler' using Python and the HumanMoveMouse package. This application aims to simulate natural mouse movements when navigating through web pages or performing repetitive tasks, thereby reducing the detection risk of automated scripts. Here’s a step-by-step guide to building 'SmoothCrawler':

1. **Setup Environment**: Ensure you have Python installed along with the necessary libraries such as HumanMoveMouse, PyAutoGUI, and Selenium.
2. **Design the User Interface**: Use Tkinter to design a simple yet user-friendly interface where users can input URLs and select actions like scrolling, clicking, or moving to specific elements on the page.
3. **Integrate HumanMoveMouse**: Utilize HumanMoveMouse to generate realistic mouse movement patterns. For instance, when a user clicks on a link or scrolls down a webpage, the mouse movement should mimic human behavior rather than abrupt jumps.
4. **Automation Script**: Write scripts that use Selenium to control browser actions. Integrate these scripts with HumanMoveMouse so that every action performed by the script (e.g., clicking a button, filling out forms) is preceded by a natural-looking mouse movement.
5. **Customization Options**: Allow users to customize the speed and frequency of mouse movements, as well as the timing between different actions, to better suit their needs.
6. **Logging and Reporting**: Implement logging functionality to record the activities performed by the application, which can be useful for debugging and analytics purposes.
7. **Testing and Optimization**: Test the application under various conditions to ensure it behaves as expected and does not trigger any anti-bot mechanisms. Optimize the mouse movement patterns based on feedback and testing results.
8. **Deployment**: Prepare the application for deployment by packaging it into an executable file using tools like PyInstaller. Make sure all dependencies are included.

The goal is to create a versatile tool that can be used for both personal and professional purposes, such as automating routine tasks, web scraping, or even gaming, while ensuring that the actions appear as if they were performed by a human.