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Been digging into the current state of Overwatch 2 memory protection. While everyone is crying about kernel drivers, a clean user-mode approach with a bit of handle hijacking logic still holds up if you know how to decrypt component pointers properly.
Architectural Overview
This is a 100% external C++ build. No injection, no manual mapping, and zero kernel footprint. The goal is to keep the game's client-side detection completely blind to our presence.
Aimbot Logic & Targeting
The aimbot cycle filters the entity list every frame. It tosses out the local player, dead targets, and handles teammate filtering based on the current config. For the remaining pool, targets are scored based on FOV distance, health, or world space proximity.
Mathematical Offsets & Prediction
Once a lock is established, the aim point is calculated by taking the target's center and applying bone-specific height offsets. Based on current reversing, these values are quite consistent:
Horizontal positioning isn't just a static snap; it factors in the target's velocity and distance to lead shots. The final movement is processed through adaptive smoothing. Closer targets get higher smoothing to eliminate micro-jitter, while distant targets get less to maintain acquisition speed.
The Visibility Check Problem
Currently, IsVisible() is stubbed. This means it'll happily lock through walls (risky for your trust factor). I'm currently debating between two methods for the fix:
Technical Foundation Tips
Anyone finding the depth buffer approach stable enough for long sessions lately?
Architectural Overview
This is a 100% external C++ build. No injection, no manual mapping, and zero kernel footprint. The goal is to keep the game's client-side detection completely blind to our presence.
- Memory Access — Utilizing successful handle hijacking and decrypted component pointer logic. Standard ReadProcessMemory is used for offsets, but the handle is acquired via techniques that don't scream "I'm a debugger."
- Input Latency — Using an Arduino HID bridge for mouse movement. This bypasses the typical pitfalls of using mouse_event or other flagged API calls that ACs love to log.
- Visual Projection — Utilizing the ViewProjection matrix to translate world coordinates into 2D screen space for the overlay.
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Aimbot Logic & Targeting
The aimbot cycle filters the entity list every frame. It tosses out the local player, dead targets, and handles teammate filtering based on the current config. For the remaining pool, targets are scored based on FOV distance, health, or world space proximity.
Mathematical Offsets & Prediction
Once a lock is established, the aim point is calculated by taking the target's center and applying bone-specific height offsets. Based on current reversing, these values are quite consistent:
Code:
Head: +1.75m from feet
Neck: +1.6m
Chest: +1.2m
Pelvis: +0.9m
Horizontal positioning isn't just a static snap; it factors in the target's velocity and distance to lead shots. The final movement is processed through adaptive smoothing. Closer targets get higher smoothing to eliminate micro-jitter, while distant targets get less to maintain acquisition speed.
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You cant view this link please login.
The Visibility Check Problem
Currently, IsVisible() is stubbed. This means it'll happily lock through walls (risky for your trust factor). I'm currently debating between two methods for the fix:
- Depth Buffer Sampling — Checking target depth against world geometry at their screen coordinates. Very accurate but potentially unstable depending on game updates.
- Color-based Occlusion — Checking pixel colors at projected bone positions. Higher performance and harder to patch, but less precise in chaotic team fights.
- BSP Raycasting — The "holy grail" of external vis-checks, but OW2's world representation is a pain to dump properly without getting detected.
Technical Foundation Tips
- Disable Secure Boot and TPM if you're experimenting with more aggressive handle methods.
- Ensure your VCRedist is updated or you'll be chasing ghost crashes in your C++ linkers.
- If using the Arduino method, make sure your HID descriptor doesn't look like a generic laboratory device.
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Anyone finding the depth buffer approach stable enough for long sessions lately?