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Game Hacking Exploits

ASecurity

Game exploit classes: memory R/W cheats, packets, authority breaks, race bugs, movement exploits, server RPC abuse.

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  • Added October 17, 2026
developmentpythonrustgogitapi

Works with

  • cli
  • api

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned October 17, 2026

npx -y skills add NetVar1337/agent-skill-canon --skill game-hacking-exploits --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: game-hacking-exploits
description: "Game exploit classes: memory R/W cheats, packets, authority breaks, race bugs, movement exploits, server RPC abuse."
version: 1.0.0
license: GPL-3.0-or-later
metadata:
  package: unleash-skills
  author: NetVar1337/unleash
  category: game
  triggers:
    - "game exploit"
    - "packet spoof"
    - "RPC abuse"
    - "duping"
    - "movement exploit"
---

# Game hacking exploits

## Classes
| Class | Where | Notes |
|---|---|---|
| Client memory | local process | ESP/aim/speed if not server-auth |
| Packet abuse | protocol | spoofed movement, inventory dups |
| RPC/cmd abuse | server handlers | unchecked args, authz gaps |
| Race/TOCTOU | servers | double-spend, interact races |
| Prediction abuse | client-server | bunny/strafe edge cases |
| Asset/logic | scripts | exposed debug, GM cmds |
| OOB R/W | parsers | custom binary protocols |
| Auth/parser CVE | CoD / FiveM | momo5502 `cod-exploits`: Steam-Auth CVE-2018-20817, Huffman CVE-2018-10718 (`E:\Tools\git\momo5502\cod-exploits`). Aftermath 2022-09-26 FiveM/GTA V client RCE. |

## Workflow
1. Authority analysis first: what does the server trust?
2. If server-auth: focus packets/RPC/logic bugs, not local godmode fantasies.
3. Build minimal PoC with logging; then reliability.
4. AC/EAC considerations only after PoC (pair `game-hacking`).

## Deliverables
- Repro steps, net capture, offset/version table, risk to stability.

## Authority-break deep classes

### Movement/prediction abuse
- UE `SavedMove` replay: client-simulated movement re-simulated on server; mismatches snap back. Exploits: temporal desync (delayed ServerMove batches to rewind hit windows), speed via tick-rate mismatch (moves computed at higher dt), strafe-acceleration edge cases (source-style air-control yielded 1.5-2x speed classes historically).
- Source1 lag-comp: server rewinds hit targets to shooter's cmd time — fake latency shoots rewind-further; `cl_interp` manipulation class.

### RPC surface methodology
1. Dump protocol: hook engine send/recv → map opcodes → rebuild structs (`network-protocol-re`).
2. Enumerate handlers in the dispatch switch; for each opcode: client-callable? server-side authz? (most bugs = missing authz, not authn).
3. Replay privileged RPC with mutated args — classic: item-drop-on-death race, remote interact, force-trade states.
4. Server-trust inversion: still found in projectile-despawn-on-client and interact-confirm paths of otherwise hardened titles.

### Race/dup patterns
- Double-spend: two sessions same inventory (weak session locking, mobile titles); ToCTOU equip/use (start use → drop → finish = use-while-not-held).
- Server-tick race: two rapid interacts pre-transition (verify via timestamp deltas in capture).

### OOB in custom protocols
- Declared-length trusted for both alloc and copy → adjacent-struct corruption via negative/oversized length.
- Mutation-fuzz captured flows with grammar rebuilt from structs; kick-vs-crash signatures tell authz vs parser bugs.

## PoC discipline
- Live-like private server first; PoC as minimal script (python raw socket or engine replay).
- Full logs (timestamps, seq, opcodes); dup bugs can permanently corrupt character state — burn accounts knowingly.

Files in this skill

  • SKILL.md3.2 KB
  • agents/openai.yaml43 B

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