Lua executors are the engine behind almost every paid FiveM cheat. They inject custom Lua code into the running client and let the operator script whatever they want, from money drops to wallhacks. Catching them is one of the core jobs of any anticheat. Here is how the detection actually works.
What an executor does, mechanically
FiveM exposes a Lua scripting environment for resources. The normal flow looks like this: the server hands the client a resource, the client loads it, and the resource's Lua runs in a sandboxed state. A Lua executor cuts into that pipeline. It injects Lua code into the client's state from outside the server-controlled resource list.
In practice the executor does one of two things. It either patches the FiveM process to add new Lua entry points, or it hooks an existing entry point and routes attacker-supplied code through it. Once that code is running, it has the same privileges as a legitimate resource. It can call any client-side native, fire any registered server event, and read any client-side state.
The four detection methods that hold up
1. Memory signature scanning
This is the simplest one. Scan the FiveM process memory for byte patterns that match known executor builds. Every cheat vendor compiles their loader, and the compiled binary leaves a fingerprint a defender can pattern-match against.
Strengths: Cheap to implement, fast on modern hardware, and near-zero false positives once a signature is verified.
Weaknesses: It goes stale fast. A new cheat release ships an unfamiliar binary, and until the anticheat publishes a matching signature, that cheat is invisible to this layer. A vendor pushing signatures weekly can stay close. A vendor pushing them monthly is always a step behind.
2. Hook detection
Executors install hooks on game functions. Mechanically, a hook means the first instructions of a real function get overwritten with a jump to attacker code. If the defender knows the original byte sequence, it can tell when those bytes have changed and flag the process.
Strengths: One mechanism catches a wide class of cheats, and it does not care which specific cheat is running.
Weaknesses: Some legitimate game-mod tools use hooks too, so the false-positive risk is real. That is why a hook-detection result usually gets cross-referenced with other signals before it triggers a ban.
3. Loader artefact detection
Most executors are not a single self-contained binary. They have a loader, a runtime, and one or more sidecars. Each component leaves traces in the process tree, the file system, and the loaded module list. A defender that enumerates the host environment can spot foreign DLLs, unexpected child processes, or registry keys that have no business being there.
Strengths: Resilient to binary repacking. Even if the cheat re-compiles to dodge memory signatures, the loader artefacts are harder to hide.
Weaknesses: It edges into territory players reasonably expect to stay private. Anticheats that dig through the full system file list tend to run into trust complaints, which is why most modern FiveM anticheats sample artefacts in-process only.
4. Behavioral inference
The executor might slip past memory and hook scans, but the code it runs almost always behaves abnormally. A player firing 200 server events per second, calling natives with impossible arguments, or producing position deltas that blow past the engine's velocity cap is generating telemetry no honest player generates.
Strengths: Independent of how the cheat is built. It detects unknown and zero-day cheats, and binary obfuscation does nothing to stop it.
Weaknesses: Slower to fire, because it needs enough samples to be confident. Thresholds are tunable, and set the bar too low and you get false positives.
What this means when you evaluate an anticheat
Ask a vendor how their Lua executor detection works. The useful answers describe specific layers, not marketing claims. Look for:
- How often the signature database ships updates. Weekly is the realistic bar.
- Whether server-side behavioral telemetry runs alongside client scanning, or only kicks in after a client flag.
- What happens between detection and ban. Is there evidence capture for admin review, or is it auto-ban only?
- How the vendor handles legitimate hooks from streamer overlays and game-mod tools.
A vendor who says "AI-powered detection" without answering any of the above is usually selling a single-layer product behind modern marketing language. The technical detail matters because the failure modes are different. A signature gap and a behavioral gap fail in different ways, and they need different fixes.