How kernel anti-cheats work
Kernel-level anti-cheat systems in online games are portrayed as highly sophisticated but deeply controversial, pitting competitive integrity against user security, privacy, and true ownership of personal computers. Commenters debate whether locking down clients with kernel drivers, TPM-based attestation, and secure boot is justified when determined cheaters can still bypass protections with DMA devices, BIOS mods, or external hardware, and when behavioral and server-side approaches remain imperfect. Many see the real tradeoff as cultural and economic: raising the cost of cheating for high‑stakes competitive play versus normalizing hardware-level control that could spread beyond games to banks, streaming, and general computing.
TPM, Remote Attestation, and Trusted Computing
- Several comments dig into how TPM-based attestation can be subverted: MITM on discrete TPM buses, replaying PCR measurements, side-channel extraction of keys, architectural flaws in fTPMs, and fake/virtual TPMs.
- Some argue the TPM spec never really protected the CPU–TPM bus historically; others push back, saying endorsement keys and newer guidance address “active attacks,” but admit measurements can still be spoofed.
- Remote attestation is seen by some as the next big control layer (for anti-cheat, banks, DRM); others see it as a path to users losing control of their machines and being “untrusted” if they modify them.
Cheating as a Technical Problem
- Many argue that because cheaters control the client, they always have an advantage; kernel anti-cheat only raises the cost, it can’t “solve” cheating.
- Pure “do everything on the server” is widely criticized as unworkable for fast games due to latency and prediction issues.
- Hardware/DMA devices, hypervisors, BIOS/SMM patching, and network-side setups (second PC reading screen and driving input) are cited as ways to bypass even kernel anti-cheats.
Kernel Anti-Cheat: Pros and Cons
- Proponents: kernel anti-cheat is currently the most effective practical defense, especially in high-level competitive play (e.g., compared to user-mode / statistical systems like VAC). It raises the bar and makes powerful cheats expensive and niche.
- Critics: it’s effectively a rootkit, expands attack surface, has caused real privilege-escalation bugs, and conflicts with sandboxing/virtualization. Some consider it an unacceptable trade for mere games.
Behavioral, Statistical, and Honeypot Approaches
- Proposed alternatives include:
- ML/anomaly detection on replays and full action logs.
- Honeypot memory regions or fake entities only cheats would touch/react to.
- Time-to-damage and other timing metrics as strong signals.
- Skeptics note that large-scale behavioral systems (e.g., in CS) still leave games “infested,” struggle with closet cheaters, and risk false positives against legitimately strong or unusual players.
Social and Ecosystem Solutions
- Suggestions range from:
- Human admins and replays on community servers.
- Segregated queues: invasive-AC vs. no-AC pools, or “cheater queues.”
- Cultural shaming of cheaters.
- Others argue the real conflict is between user freedom/ownership and publisher control; some would rather accept more cheating than normalize locked-down PCs and remote-attestation-based exclusion.