//============================================================================ // Name : rcuda_ntlm.inc // Author : Jan Kyska // Version : 1.00 // Description : NTLM hash kernel for Generator of FreeRainbowTables //============================================================================ namespace RC_NTLM { __device__ __constant__ unsigned int h[4] = { 0x67452301, 0xEFCDAB89, 0x98BADCFE, 0x10325476 }; __device__ __constant__ unsigned char r[48] = { \ 3, 7, 11, 19, 3, 7, 11, 19, 3, 7, 11, 19, 3, 7, 11, 19, \ 3, 5, 9, 13, 3, 5, 9, 13, 3, 5, 9, 13, 3, 5, 9, 13, \ 3, 9, 11, 15, 3, 9, 11, 15, 3, 9, 11, 15, 3, 9, 11, 15 }; __device__ __constant__ unsigned char g[48] = { \ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, \ 0, 4, 8, 12, 1, 5, 9, 13, 2, 6, 10, 14, 3, 7, 11, 15, \ 0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5, 13, 3, 11, 7, 15 }; __device__ unsigned int FF(unsigned int a, unsigned int b, unsigned int c, unsigned int d, int i, const unsigned int* data) { unsigned int ret; ret = a + ((b&c)|((~b)&d)) + data[SHIDX(g[i])]; ret = (ret<>(32-r[i])); return ret; } __device__ unsigned int GG(unsigned int a, unsigned int b, unsigned int c, unsigned int d, int i, const unsigned int* data) { unsigned int ret; ret = a + ((b&c)|(b&d)|(c&d)) + data[SHIDX(g[i])] + 0x5a827999u; ret = (ret<>(32-r[i])); return ret; } __device__ unsigned int HH(unsigned int a, unsigned int b, unsigned int c, unsigned int d, int i, const unsigned int* data) { unsigned int ret; ret = a + (b^c^d) + data[SHIDX(g[i])] + 0x6ed9eba1u; ret = (ret<>(32-r[i])); return ret; } __device__ void MD4(unsigned int* dataHash) { unsigned int a = h[0], b = h[1], c = h[2], d = h[3], x; int ii; // Round 1 for(ii = 0; ii < 16; ii++) { x = b; b = FF(a, b, c, d, ii, dataHash); a = d; d = c; c = x; } // Round 2 for(; ii < 32; ii++) { x = b; b = GG(a, b, c, d, ii, dataHash); a = d; d = c; c = x; } // Round 3 for(; ii < 48; ii++) { x = b; b = HH(a, b, c, d, ii, dataHash); a = d; d = c; c = x; } dataHash[SHIDX(0)] = a + h[0]; dataHash[SHIDX(1)] = b + h[1]; dataHash[SHIDX(2)] = c + h[2]; dataHash[SHIDX(3)] = d + h[3]; } } __global__ void RTGenNTLMKernel(unsigned int chainStart, unsigned int chainStop) { uint3 dimItem; uint64 uiDiv64, uiVal64, uiMul64; unsigned int uiVal, uiDiv; unsigned int size, jj, kk; unsigned int plain; RTGEN_PROLOGUE; // transform to the plain text plain = 0x80; jj = (PLAIN_MAX_SIZE>>1)+1; for(ii = kk = 0; idx64 > 0xfffffff0ull && ii < PLAIN_MAX_SIZE; ii++) { uiVal64 = idx64 + cplStart[ii]; uiVal64--; dimItem = cplDimVec[ii]; uiMul64 = (uint64)dimItem.y<<32; idx64 = __umul64hi(uiVal64, uiMul64); uiDiv64 = uiVal64 - idx64*(uint64)dimItem.x; uiVal = __umulhi((unsigned int)uiDiv64, dimItem.y); uiDiv = (unsigned int)uiDiv64 - uiVal * dimItem.x; idx64 += uiVal; if(uiDiv >= dimItem.x) { uiDiv -= dimItem.x; idx64++; } plain = (plain<<8); if((kk++)&1) { hData[SHIDX(jj--)] = plain; plain = 0; } plain = (plain<<8) | cplChrSet[dimItem.z + uiDiv]; } for(idx = (unsigned int)idx64; idx != 0 && ii < PLAIN_MAX_SIZE; ii++) { uiVal = idx + cplStart[ii]; uiVal--; dimItem = cplDimVec[ii]; idx = __umulhi(uiVal, dimItem.y); uiDiv = uiVal - idx*dimItem.x; if(uiDiv >= dimItem.x) { uiDiv -= dimItem.x; idx++; } plain = (plain<<8); if((kk++)&1) { hData[SHIDX(jj--)] = plain; plain = 0; } plain = (plain<<8) | cplChrSet[dimItem.z + uiDiv]; } // prepare for MD4 size = (ii<<1); ii = (((kk^1)&1)<<4)+8; plain = plain<>1)+1; plain = hData[SHIDX(jj++)], idx++) hData[SHIDX(idx)] = (plain>>ii)|(hData[SHIDX(jj)]<<(32-ii)); hData[SHIDX(idx)] = plain>>ii; for(idx++; idx < 14; idx++) hData[SHIDX(idx)] = 0; hData[SHIDX(idx++)] = size<<3; hData[SHIDX(idx)] = 0; // hash RC_NTLM::MD4(hData); RTGEN_EPILOGUE }