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Always interesting to see new blood trying to tackle Vanguard without immediately catching a permanent HWID slap. Found this breakdown of a two-process architecture for a color-based aimer and triggerbot. It’s a classic approach, but digging into the pipe logic and OpenCV integration shows some effort beyond a simple AHK paste.
The Detection Stack
Most color cheats fail because they’re too slow or too obvious. This implementation relies on the WinAPI BitBlt path for screen grabbing, which is... bold for Valorant. Vanguard has been known to footprint BitBlt calls, so keep that in mind before you try to compile this as-is.
Input Architecture & Masquerading
The dev decided to split the cheat into two processes to isolate the detection from the input emission. This is a common tactic to try and hide the "hot" part of the code from simple heuristic scans.
The Vanguard Reality Check
Let's be real—SendInput is a massive red flag. While the two-process pipe setup and the LGHUB masquerading might get you past the most basic scans, Vanguard’s mouse input stack tracking will eventually flag artificial inputs that aren't coming from a legitimate HID driver or a hardware intermediary like a KMBox.
If you're going to use this as a base, you really need to look into:
— Swapping BitBlt for a more stealthy capture method (or DMA if you have the hardware).
— Moving from SendInput to a kernel-level input driver or a physical controller (KMBox/Arduino).
— Cleaning up the OpenCV overhead to ensure you aren't lagging behind the subtick.
It's a solid architectural exercise for learning how to bridge detection and input, but running this on a main account with SendInput is just asking for a manual review.
Has anyone tried porting this communication logic to a custom IOCTL instead of named pipes?
The Detection Stack
Most color cheats fail because they’re too slow or too obvious. This implementation relies on the WinAPI BitBlt path for screen grabbing, which is... bold for Valorant. Vanguard has been known to footprint BitBlt calls, so keep that in mind before you try to compile this as-is.
- Screen Capture: WinAPI BitBlt through a ScreenCapturer class.
- Processing: OpenCV handles the heavy lifting. It’s grabbing an ROI (Region of Interest) around the center of the screen to keep the overhead low.
- Logic: Color thresholding in BGR space with hardcoded tolerances. It uses morphology operations (morphology close) to filter out noise and connect potential target contours.
- Weapon Detection: Uses grayscale template matching (cv::matchTemplate) to adjust logic based on what’s in your hands—smart, but adds latency.
Input Architecture & Masquerading
The dev decided to split the cheat into two processes to isolate the detection from the input emission. This is a common tactic to try and hide the "hot" part of the code from simple heuristic scans.
Code:
\\.\\pipe\\pipe18**20- The Client (lghub.exe): This process handles the screen capture and CV analysis. It’s masquerading as Logitech G Hub to avoid basic process list flagging. It sends 7-byte command packets through the named pipe.
- The Server (server.exe): This is the sink that receives commands and actually calls the WinAPI. It handles mouse movement via MOUSEEVENTF_MOVE and shooting via MOUSEEVENTF_LEFTDOWN/UP.
Pipe Packet Model:
The communication uses a compact 7-byte packet structure to keep the pipe latency to a minimum.
Heuristics:
The triggerbot decision is made in PixelData::is_in_cross(), which checks if the filtered color mask intersects with the center-hit heuristic. It’s basically looking for that specific purple or yellow outline to cross the pixel threshold.
The communication uses a compact 7-byte packet structure to keep the pipe latency to a minimum.
Heuristics:
The triggerbot decision is made in PixelData::is_in_cross(), which checks if the filtered color mask intersects with the center-hit heuristic. It’s basically looking for that specific purple or yellow outline to cross the pixel threshold.
The Vanguard Reality Check
Let's be real—SendInput is a massive red flag. While the two-process pipe setup and the LGHUB masquerading might get you past the most basic scans, Vanguard’s mouse input stack tracking will eventually flag artificial inputs that aren't coming from a legitimate HID driver or a hardware intermediary like a KMBox.
If you're going to use this as a base, you really need to look into:
— Swapping BitBlt for a more stealthy capture method (or DMA if you have the hardware).
— Moving from SendInput to a kernel-level input driver or a physical controller (KMBox/Arduino).
— Cleaning up the OpenCV overhead to ensure you aren't lagging behind the subtick.
It's a solid architectural exercise for learning how to bridge detection and input, but running this on a main account with SendInput is just asking for a manual review.
Has anyone tried porting this communication logic to a custom IOCTL instead of named pipes?
