Presentation Material
Abstract
With the increasing popularity of games having a competitive element, cheats have become a common method for hackers to gain an advantage. These cheats could range from a sniper bullet that felt just a little too accurate to a player teleporting across the map, and chances are that you must have been outsmarted by some sort of cheat code. Some of the most common methods include Aimbot, Wallhack, SpeedHack, DropHack, etc.
Game developers like Fortnite, PUBG, and Apex Legends constantly face pressure to prevent hackers from cheating. The result? Probably spending millions of dollars on Security and Anti-cheats, but are still being outsmarted by hackers.
Due to the limited supply of skilled hackers and a huge demand, Game Cheat development has grown to be now a multi-million-dollar industry. It’s very challenging for hackers to keep coming up with new bypasses as Anti-Cheats are improving daily and are extremely invasive, making it harder for cheats to stay undetected.
In this talk, we will share the current state of Cheats and Anti Cheat mechanisms. This talk is an outcome of our research that lasted several months, analyzing various anti-cheat leaders in the markets and us discovering multiple bypassing techniques. The talk will also dive deep into the history of anti-cheats, how they actually work, and several techniques hackers are using to bypass them.
During our research, we also developed a kernel-mode and External Hardware cheat for some top twitch streaming games and will be showcasing it. The session will end with the release of a basic External Hardware cheat that can be used as a learning resource for bypassing different anti-cheats in the market.
The adage, ‘cheaters never win’ may be moralistic but cheaters very often win in competitive games, join us to see how hackers have been hacking against anti-cheat mechanisms.
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The speaker is an expert in creating an automated aiming system for video games,2015 using Arduino and Python. The system uses OpenCV to detect enemy outlines based on HSV color values and simulates mouse movement to aim at the enemies.
To overcome the limitation of sending signed integers through Arduino’s serial communication port, , the speaker converts the X and Y coordinates to unsigned integers before sending them to Arduino.
The Arduino code receives the coordinates from Python,<|begin_of_text|>2022 , simulates mouse movement, to move the cursor to the enemy location,, is a real Mouse itself. The system uses libraries and global variables to simulate a real Mouse.
To avoid detection by Vanguard, which monitors serial communication ports for suspicious activity, the speaker suggests adding garbage values to the prefix or postfix of the data being sent or spoofing the Arduino board’s identity by changing its name, vendor ID, and product ID.
The speaker demonstrates the system’s effectiveness in aiming at enemies in Valorant and discusses potential future developments, including using artificial intelligence to detect enemies on the screen.