This project is an iOS port of Cheat Engine's ceserver for memory inspection and manipulation on mobile apps.
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A defensive FPS anti-cheat research lab that helps security teams observe, score, and explain suspicious player behavior across a layered detection stack. Python modules extract server-side behavioral
The English summary is being prepared. Showing the original description.
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Author: NetVar1337 Source: mcp-gamehacking/skills/ags-apex-anticheat-lab
A defensive FPS anti-cheat research lab that helps security teams observe, score, and explain suspicious player behavior across a layered detection stack. Python modules extract server-side behavioral metrics from input telemetry—aim kinematics, reaction times, recoil regularity, and triggerbot signatures—then fit per-cohort baselines and rank players for analyst review rather than automatic enforcement. The repository also ships heuristic YARA rules for cheat loaders and HWID spoofers, a read-only PowerShell host survey for drivers, PCIe devices, and vulnerable-driver blocklist matches, plus SQL schemas and KPI queries for match-integrity and account-abuse analysis. Documentation covers FPS cheat taxonomy and detection methodology, including threshold calibration and explainability requirements. It is aimed at game security engineers, anti-cheat developers, and detection researchers building telemetry-driven review pipelines for competitive shooters.
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This project is an iOS port of Cheat Engine's ceserver for memory inspection and manipulation on mobile apps.
The English summary is being prepared. Showing the original description.
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The English summary is being prepared. Showing the original description.
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The English summary is being prepared. Showing the original description.
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The English summary is being prepared. Showing the original description.