Stealth Anti-Cheat is an advanced, real-time anti-cheat system designed to monitor and detect cheating activities within specialized Discord servers. Leveraging the Model Context Protocol (MCP), it automatically analyzes messages, code blocks, and repositories for known cheating patterns, including ESP, Aimbot, and Memory Injection. The system integrates advanced AI, including GPT-4 and MiniMax IA, for intelligent code analysis, predictive threat detection, and even automatic generation of game-specific anti-cheat code. It operates 24/7 from an independent server, using a SQLite database for persistent storage of analysis data, auto-updating its detection signatures based on new findings, and sending real-time alerts for suspicious activity.
Key Features
01Real-time Discord server analysis for cheating patterns.
02Dynamic anti-cheat with auto-updating detection signatures.
03Advanced AI integration (GPT-4, MiniMax IA) for intelligent code analysis and threat prediction.
0424/7 independent monitoring with a persistent SQLite database for historical analysis.
05Automated generation of custom anti-cheat code for specific games and methods.
060 GitHub stars
Use Cases
01Automatically monitoring designated Discord channels for code snippets, attachments, and repository links containing cheating methods.
02Manually analyzing suspicious code fragments to identify cheating patterns, risk levels, and detected methods.
03Generating specialized anti-cheat code tailored to specific games and cheating techniques (e.g., Memory Injection detection for Counter-Strike 2).
