Makers of CVCheat claim their computer vision-based cheat tool can offer “undetectable” “full auto-aim and auto-shots” for any game on PC, Xbox, or PlayStation
Kyle Orland / Ars Technica : Tweets: @yangcliu , @tylerglaiel , @flugazi , @eposvox , and @storagezilla Tweets: Yang / @yangcliu : Kernel anticheat has been useless for the most dedicated hackers for about almost a decade now... Seeing as how hardware can be modified to (such as GPUs) to have cheats baked in https://arstechnica.com/... Tyler Glaiel / @tylerglaiel : Ya of course this shit is possible and has been possible for a while, thats why any actual effective anti-cheat needs to be doing statistical analysis on metrics like headshot percent or whatever instead of relying on being able to detect installed cheats https://arstechnica.com/... @flugazi : Cheating in FPS by using a second computer to move mouse https://arstechnica.com/... Addie / @eposvox : Gaming in 2023 about to be every game shipping on its own locked down laptop that can't run anything else or use any other peripheral https://arstechnica.com/... Mark Twomey / @storagezilla : Just have a bot play the game for you and check in with it once a day to see how it is doing. This is too much effort only to be crap if you play face to face. https://arstechnica.com/...
Context & Ripple Effects
Anti-cheat has spent years escalating deeper into the operating system: after the aimbot and wallhack wave in Warzone and Destiny 2 pushed developers to respond, EA shipped its own kernel-level EA AntiCheat in 2022, and Riot's Phillip Koskinas described discrediting cheat developers directly as part of the strategy. CVCheat attacks that entire escalation ladder from outside it.
First-order effects
- By reading the screen with computer vision and firing inputs externally, CVCheat never touches the game process — so the kernel-level defenses EA and Riot built are structurally blind to it, and the tool's claimed PC/Xbox/PlayStation reach means even closed console platforms lose their walled-garden advantage.
Second-order effects
- As developer Tyler Glaiel argues in the piece, effective detection has to move to statistical analysis of player metrics like headshot percentage — forcing studios to invest in server-side behavioral telemetry rather than more aggressive client access.
- The cheat market itself gets riskier for buyers: Activision already warned that a popular Warzone 'cheat' was actually malware giving hackers control of players' machines, so demand may consolidate around tools like CVCheat that at least claim not to install anything.
Third-order effects
- If vision-and-input-injection cheats scale, the anti-cheat industry's decade of kernel escalation becomes an arms race it cannot win at the endpoint, shifting the durable moat to platform-operated statistical detection — the same pattern Riot's operational approach gestures toward.
- CVCheat also rhymes with a broader normalization of AI-assisted cheating beyond games — Cluely raised $5.3M for a tool pitched to 'cheat on everything' — suggesting detection-by-behavior rather than detection-by-software-integrity becomes the shared problem across gaming and productivity software alike.
The trend: Cheating is migrating from code running inside the game machine to external computer-vision hardware, pushing detection away from kernel access and toward statistical analysis of player behavior.