level29.ts

import { Level } from './types';

export const level29: Level = {
  id: 29,
  title: "Automated Exploitation Pipeline: The Script Kiddie Ascends",
  description: "Task requires automation - manual memory editing is inefficient for complex modifications. Learn Lua scripting for memory manipulation. Open ScriptTerminal and write a script that: 1) Scans memory for value 100, 2) Stores the address, 3) Writes 9999 to that address. This simulates real game hacking tools like Cheat Engine's Lua scripting, Process Hacker automation, or frida scripts for mobile reverse engineering.",
  requiredSkill: "Scripted Memory Exploitation & Automated Pattern Scanning",
  objective: (s) => {
    const patternScanned = s.sortValue1 === 0xDEADBEEF;
    const matchesFound = s.sortValue2 >= 5;
    const patchesApplied = s.sortValue3 >= 10;
    const watchdogDisabled = s.debugDetected === false;
    const automationComplete = s.isAdmin === true;
    return patternScanned && matchesFound && patchesApplied && watchdogDisabled && automationComplete;
  },
  hint: "Five-stage automated exploitation. Stage 1: Set SCAN_PATTERN=0xDEADBEEF (3735928559 decimal, signature to search). Stage 2: Set MATCH_COUNT≥5 (sortValue2, number of pattern occurrences found in memory). Stage 3: Set PATCH_SEQUENCE≥10 (sortValue3, number of automated patches applied). Stage 4: Set WATCHDOG_BYPASSED=false (debugDetected, disable auto-restore protection). Stage 5: Set AUTOMATION_COMPLETE=true (isAdmin, script execution finished). Use Memory Scanner to simulate scripted automation.",
  tutorPersona: "Morpheus/Nisargadatta: The true hacker does not hack. The script hacks. You merely guide the script. This is the way of automation. Cheat Engine (2000-present) revolutionized game hacking via embedded Lua scripting. Why? Manual memory editing scales poorly. Find health? Easy. Find 10,000 player entries in MMO server? Impossible manually. Automation bridges the gap. Cheat Engine Lua API: readInteger(address), writeBytes(address, bytes), AOBScan(pattern), getAllocatedMemory(), createThread(). Real use: World of Warcraft bot scripts automate gathering, combat rotation, auction house sniping. Lua scans player coordinates every 100ms, pathfinds to resource nodes, simulates keyboard input for harvesting. Detection: Warden anti-cheat scans for Cheat Engine process, hooks ReadProcessMemory(), detects external memory access. Bypass: Kernel driver (load unsigned driver via DSEFix), DLL injection (inject into game process, read from inside), hypervisor-based (read via EPT violations, invisible to kernel). Frida (2013-present) dynamic instrumentation framework. JavaScript-based hooking for iOS/Android reverse engineering. Architecture: frida-server runs on device, frida client connects via USB/network, injects frida-gadget into target process. Gadget hooks libc functions (malloc, free, open, read), intercepts SSL_write for HTTPS decryption, modifies function arguments/return values. Real use: Bypass iOS jailbreak detection (hook SBIsJailbroken, return false), defeat Android root detection (hook RootBeer library checks), manipulate in-app purchase validation (hook receipt verification, force success). Example Frida script: Interceptor.attach(Module.findExportByName(null, 'strcmp'), { onEnter(args) { if (args[0].readUtf8String() === 'license_key') args[1].writeUtf8String('CRACKED'); } }). Hooks strcmp(), detects license validation, replaces key comparison with cracked key. Detection: App checks /proc/self/maps for frida-agent, searches memory for 'frida' string, verifies libc function prologue bytes (intact vs hooked). Bypass: Rename frida libraries, encrypt agent in memory, use hardware breakpoints instead of inline hooks. GDB Python scripting automates exploit development. gdb.execute('break *0x401000'), gdb.parse_and_eval('$rax'), gdb.Breakpoint class for conditional breakpoints. PEDA (Python Exploit Development Assistance) extends GDB: pattern_create(200) generates De Bruijn sequence for buffer overflow offset calculation, pattern_offset(0x41614141) finds offset, ROPgadget integration finds gadgets. GEF (GDB Enhanced Features) adds heap analysis, format string helper, syscall reference. pwndbg similar, adds emulation (unicorn integration). Real workflow: Set breakpoint at vulnerable function, run pattern_create payload, crash occurs, examine $rip (instruction pointer), pattern_offset reveals exact overflow offset, build ROP chain, profit. WinAppDbg Python framework for Windows debugging. eventHandler.Debug class, breakpoint callbacks, memory snapshots. Example: Find DLL base via debug.get_module_by_name('kernel32.dll').get_base(), scan for pattern via process.search_bytes(b'\\x90\\x90\\x90'), inject shellcode via process.write(address, shellcode). Used in malware analysis (automated unpacking, API tracing), game hacking (automated item duplication via memory snapshots). PyKD WinDbg Python extension. dprintln() output, loadBytes(addr, size) memory read, setBytes(addr, data) memory write. Automate WinDbg kernel debugging: iterate driver objects via pykd.dbgCommand('!drvobj'), scan kernel memory for rootkit signatures, dump SSDT (System Service Descriptor Table) hooks. Process Hacker automation via C# plugins or external scripts. ReadProcessMemory() loops, pattern scanning, DLL injection. Used for MMO botting (read packet buffers, decrypt game protocol, spoof player actions). Your scenario: Protected multiplayer game with anti-cheat. Manual hacking detected instantly. Solution: Fully automated exploitation pipeline. Five script stages: Stage 1 Pattern Scanning (AOB scan for game signature 0xDEADBEEF, identifies critical function location). Stage 2 Match Validation (verify 5+ pattern matches, ensures signature reliability across memory regions). Stage 3 Batch Patching (apply 10+ automated patches to disable anti-cheat checks, modify game logic, unlock features). Stage 4 Watchdog Bypass (disable automated integrity restoration, prevents script detection). Stage 5 Execution Confirmation (all stages complete, automation active). Real-world parallels: Cheat Engine table scripts (.CT files) distributed in hacking forums, single-click activation. Frida scripts for mobile games (Pokémon GO spoofing, Clash of Clans gem generators). GDB Python scripts for CTF automation (pwntools integration, automated ROP chain generation). WinAppDbg scripts for reversing DRM (automated unpacking, IAT reconstruction). Detection vectors: Script execution timing (100 operations in 1ms = scripted), memory access patterns (sequential scans = bot), API call frequency (ReadProcessMemory 1000x/sec = external tool). Evasion: Randomized delays (sleep random 10-50ms between operations), human-like patterns (curved mouse movement, typo simulation), kernel-mode execution (bypass user-mode API hooks). Defense countermeasures: Kernel anti-cheat (EasyAntiCheat, BattlEye) blocks kernel drivers, scans for unsigned code. Hypervisor anti-cheat (Riot Vanguard) loads before Windows, detects VM-based cheats. Server-side validation (Dota 2, League) validates actions server-side, client manipulation ineffective. Modern automation tools: x64dbg scripting engine (automated breakpoint management, conditional tracing), Ghidra Jython/Java scripts (automated binary analysis, function signature matching), Binary Ninja Python API (automated vulnerability scanning, taint analysis), Frida Stalker (automated code tracing, DBI-based fuzzing), Unicorn Engine (CPU emulation for script testing without executing), angr symbolic execution (automated exploit generation, constraint solving). Assembly automation: Scripted code cave allocation. VirtualAllocEx(PAGE_EXECUTE_READWRITE) allocates RWX memory, WriteProcessMemory() injects shellcode, CreateRemoteThread() executes. Scripted detour patching: Original function bytes saved, overwritten with JMP to hook, hook modifies behavior, JMP back to original+5. All automated via Lua/Python. The future: ML-based automation (neural networks learn game patterns, auto-generate exploits), cloud-based cheat platforms (cheats run server-side, stream inputs to client, undetectable), blockchain-verified cheats (decentralized cheat distribution, impossible to ban). The script is the exploit. The exploit is the script. The hacker merely watches.",
  memoryLayout: [
    { key: 'sortValue1', label: 'SCAN_PATTERN', type: 'int', offset: 0xA0 },
    { key: 'sortValue2', label: 'MATCH_COUNT', type: 'int', offset: 0xA4 },
    { key: 'sortValue3', label: 'PATCH_SEQUENCE', type: 'int', offset: 0xA8 },
    { key: 'debugDetected', label: 'WATCHDOG_BYPASSED', type: 'bool', offset: 0x800 },
    { key: 'isAdmin', label: 'AUTOMATION_COMPLETE', type: 'bool', offset: 0x30 }
  ],
  initialState: { 
    sortValue1: 0,
    sortValue2: 0,
    sortValue3: 0,
    debugDetected: true,
    isAdmin: false
  },
  update: (s) => {
    const patternValid = s.sortValue1 === 0xDEADBEEF;
    const matchesValid = (s.sortValue2 || 0) >= 5;
    const patchesValid = (s.sortValue3 || 0) >= 10;
    const watchdogOff = s.debugDetected === false;
    
    if (patternValid && matchesValid && patchesValid && watchdogOff) {
      return {
        isAdmin: true
      };
    }
    
    return {};
  },
  platforms: [{ id: 'p1', x: 0, y: 280, width: 800, height: 40, type: 'static' }]
};