Skip to content

ecpp/meccha-esp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MECCHA CHAMELEON Box ESP

A fully external box ESP for MECCHA CHAMELEON (Steam / UE5.6). No DLL injection, no UE4SS dependency — it pattern-scans the running game process and reads memory through pymem.

Features

  • Fully external (no injected code, no hooks)
  • Pattern-scans GUObjectArray and walks the UE object array
  • Dynamic box ESP with distance scaling
  • Corner or 2D box style
  • Snap lines, name & distance labels
  • Toggleable menu (Insert / F1)
  • Separate local-player box for testing

Requirements

  • Windows 10/11
  • Python 3.11+
  • Game running in windowed/borderless mode
pip install pymem PyQt5 pywin32

Usage

  1. Launch MECCHA CHAMELEON.
  2. Run the ESP:
    python esp.py
  3. A transparent overlay will appear over the game window.
  4. Use Insert or F1 to show/hide the menu.
  5. Toggle features from the menu.

The ESP reads GameState -> PlayerArray for other players. Load into a match/lobby with other players for enemy boxes to appear. Enable Show Local Player to verify the projection without needing enemies.

Notes

  • Offsets and the pattern signature are for the current UE5.6 build of MECCHA CHAMELEON. Game updates may break them.
  • The script expects the game window title Chameleon . If the title changes, update Overlay._find_game_window().

Disclaimer

This project is provided for educational and research purposes only. Using cheats or unauthorized third-party tools in online games may violate the game's Terms of Service and can result in account suspension or permanent ban. The authors assume no liability for any damages, bans, or other consequences resulting from the use or misuse of this software. Use at your own risk.

About

Fully external box ESP for MECCHA CHAMELEON (UE5.6)

Topics

Resources

Stars

37 stars

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages