Reverse engineering Call of Duty anti-cheat

Reverse‑engineering Call of Duty’s kernel-level anti-cheat sparks a broader look at how modern game protections work, from signature scanning and control‑flow obfuscation to symbolic execution tools like Ghidra and Binary Ninja. Commenters trade learning resources for reverse engineering while arguing over the ethics of dissecting anti‑cheat systems, given that any method capable of detecting cheats can also be used to bypass them. The thread widens into concern about rampant cheating, invasive kernel drivers, false positives that can permanently stain online accounts, and whether human-administered community servers are ultimately more trustworthy than centralized, algorithmic anti‑cheat.

Learning reverse engineering & game hacking

  • Many describe learning RE through:
    • Old forums and cheat communities, “crackmes,” and classic books on Windows internals and reverse engineering.
    • Tutorials (e.g., Lena151), CTF-style sites, and modern courses like pwn.college.
  • Recommended tooling and approach:
    • Get comfortable with x86 assembly, ELF/PE formats, PLT/GOT, and dynamic linking.
    • Use Ghidra, IDA, Binary Ninja, radare, x64dbg, gdb/windbg; lean on decompilers plus manual renaming/annotation.
    • Start with small binaries and exercises; don’t begin with AAA anti-cheat.

Technical discussion: signature scanning & obfuscation

  • Signature/pattern scanning:
    • Identify relatively stable byte patterns for functions, with wildcards for addresses, offsets, and jump lengths.
    • Goal is a unique “shape” of code that survives builds and can be found at runtime.
    • Scripts (e.g., in Ghidra) can automate signature generation.
  • Obfuscation challenges:
    • Heavy use of unconditional/fake jumps and shared “thunks” breaks decompilers’ function models.
    • Many functions don’t end with ret (early returns, tail calls, jmp-to-ret thunks, slow paths).
    • Some schemes deliberately corrupt the stack or jump into the middle of instructions to confuse tools.
    • Symbolic execution (angr, miasm), Intel PIN, and CFG unflattening are suggested counter-techniques.

Cheating prevalence and impact on multiplayer

  • Several argue cheating has always been a major issue; others feel it has recently “destroyed trust” in many FPS titles.
  • Experiences vary:
    • Some report relatively clean experiences in games like Overwatch or CS with premium anti-cheat/ecosystems.
    • Others describe rampant cheating in titles like Escape From Tarkov and public CS matchmaking, plus “private” ecosystems (Faceit/ESEA, private servers) as refuges.
  • Cheating is also framed as a learning gateway into low-level programming and RE, but many acknowledge it ruins games for others.

Anti-cheat techniques, hardware, and limitations

  • Consensus: as long as attackers can read/write game memory, cheating can’t be fully stopped.
  • Discussion of:
    • Kernel-mode anti-cheats (EAC, Vanguard, Battleye) and vulnerabilities in “trusted hardware” stacks (ring -2, CET, shadow stacks).
    • Hardware/DMA cheats and IOMMU: some claim DMA can be robustly constrained; others argue real systems often need broad DMA for performance (swap, zero-copy I/O, GPUs, exotic hardware).
    • External CV-based aim-bots using a second machine and USB input are noted as fundamentally hard to detect.
  • Some suggest future trends toward “trusted” hardware will be dangerous for everyday users while still exploitable for determined attackers.

False bans, due process, and consumer rights

  • Multiple anecdotes of false permanent bans (CoD, League, console games), often with:
    • No explanation, opaque appeals, and major emotional impact.
    • Public “cheater” flags that taint entire gaming profiles across titles.
  • A notable case describes a two‑year legal battle to overturn a CoD ban where the publisher allegedly produced no evidence and ultimately lost.
  • Others report indirect punishments (e.g., CS:GO “trust factor” issues on Linux with certain GPUs) that effectively push players into low-quality lobbies until fixed.
  • Strong disagreement on acceptable trade‑offs:
    • Some favor aggressive heuristic/statistical bans with minimal recourse, accepting rare false positives as a cost to clean games.
    • Others argue there should be legal protections: bans shouldn’t remove paid-for functionality without refunds, and there should be human-reviewed, capped-cost appeals.
    • Concerns include minors, account value (skins, time investment), and reputational harm from public flags.

Server models, moderation, and community governance

  • Many praise the era of user‑run dedicated servers with visible admins, votekick/voteban, and community moderation:
    • Cheaters could be removed quickly; players gravitated to well-run communities.
  • Critics argue this doesn’t scale to modern matchmaking-based games with huge concurrent player counts.
  • Some propose hybrid ideas:
    • Community servers for serious players; official matchmaking for casuals.
    • Reputation systems, phone verification, playtime requirements before ranked, and AI-based review (e.g., Valve’s claimed high detection rates).
  • Skeptics note players frequently misidentify “legit but skilled” opponents as cheaters, making player-driven hunting alone unreliable.

Ethics of reverse engineering and cheating

  • The original technical RE work is lauded as impressive research, but some question the morality of dissecting anti-cheat systems that protect fair play.
  • Several reflect on youthful cheating or related abuse (e.g., DDoS in games) with lingering guilt, even as they credit it for their technical growth.
  • Others draw a hard line: no matter how educational, writing or using cheats ultimately degrades the experience for paying, honest players.