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 anything from money drops to wallhacks. Detecting them is one of the central jobs of any modern anticheat. Here is how the detection actually works.
What an executor does, mechanically
FiveM exposes a Lua scripting environment for resources. The legitimate flow is: server downloads a resource, the client loads it, and the resource's Lua runs in a sandboxed state. A Lua executor short-circuits that pipeline by injecting Lua code into the client's state from outside the server-controlled resource list.
Concretely, the executor 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. From there, the injected Lua runs with the same privileges as a legitimate resource - meaning it can call any client-side native, fire any registered server event, and read any client-side state.
The four detection methods that work in 2025
1. Memory signature scanning
The simplest detection: scan the FiveM process memory for byte patterns that match known executor builds. Each cheat vendor compiles their loader, and the compiled binary leaves a fingerprint that a defender can pattern-match against.
Strengths: Cheap to implement, near-zero false positives once the signature is verified, fast on modern hardware.
Weaknesses: Updates rapidly. A new cheat release ships an unfamiliar binary; until the anticheat publishes a new signature, the cheat is invisible to this layer. Vendors with weekly update cadences can stay ahead; vendors who ship monthly are perpetually behind.
2. Hook detection
Executors install hooks on game functions. A hook is, mechanically, the first instructions of a real function being overwritten with a jump to attacker code. A defender that knows the original byte sequence can detect when those bytes have been altered and flag the process.
Strengths: Catches a wide class of cheats with one mechanism. Independent of which specific cheat is running.
Weaknesses: Some legitimate game-mod tools use hooks too. False-positive risk is real, which is why hook-detection results usually need to be cross-referenced with other signals before triggering a ban.
3. Loader artefact detection
Most executors do not run as a single self-contained binary. They have a loader, a runtime, and one or more sidecars. Each component leaves artefacts in the process tree, the file system, and the loaded module list. A defender that enumerates the host environment can identify foreign DLLs, unexpected child processes, or registry keys that do not belong.
Strengths: Resilient to binary repacking - even if the cheat re-compiles to dodge memory signatures, the loader artefacts are harder to disguise.
Weaknesses: Crosses into territory players reasonably expect to be private. Anticheats that rummage through the system file list often run into trust complaints. Most modern FiveM anticheats sample artefacts in-process only.
4. Behavioral inference
The executor itself may evade 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 exceed the engine's velocity cap is producing telemetry no honest player produces.
Strengths: Independent of the cheat's implementation. Detects unknown and zero-day cheats. Survives binary obfuscation entirely.
Weaknesses: Slower to fire - needs enough samples to be confident. Tunable thresholds means false positives if you set the bar too low.
What this means for evaluating an anticheat
When you ask a vendor how their Lua executor detection works, the useful answers describe specific layers, not marketing claims. Look for:
- How often signature databases ship updates (weekly is the realistic bar in 2025).
- Whether server-side behavioral telemetry runs alongside client scanning, or only 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.
Vendors that say "AI-powered detection" without specifying any of the above are 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 need different mitigations.