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https://github.com/hashcat/hashcat
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215 lines
3.8 KiB
Common Lisp
215 lines
3.8 KiB
Common Lisp
/**
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* Author......: See docs/credits.txt
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* License.....: MIT
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*/
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#define NEW_SIMD_CODE
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#ifdef KERNEL_STATIC
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#include "inc_vendor.h"
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#include "inc_types.h"
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#include "inc_platform.cl"
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#include "inc_common.cl"
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#include "inc_rp_optimized.h"
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#include "inc_rp_optimized.cl"
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#include "inc_simd.cl"
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#include "inc_hash_ripemd160.cl"
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#endif
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DECLSPEC void ripemd160_transform_transport_vector (const u32x *w, u32x *dgst)
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{
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ripemd160_transform_vector (w + 0, w + 4, w + 8, w + 12, dgst);
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}
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KERNEL_FQ void m06000_m04 (KERN_ATTR_RULES ())
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{
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/**
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* modifier
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*/
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const u64 lid = get_local_id (0);
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/**
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* base
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*/
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const u64 gid = get_global_id (0);
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if (gid >= gid_max) return;
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u32 pw_buf0[4];
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u32 pw_buf1[4];
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pw_buf0[0] = pws[gid].i[0];
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pw_buf0[1] = pws[gid].i[1];
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pw_buf0[2] = pws[gid].i[2];
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pw_buf0[3] = pws[gid].i[3];
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pw_buf1[0] = pws[gid].i[4];
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pw_buf1[1] = pws[gid].i[5];
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pw_buf1[2] = pws[gid].i[6];
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pw_buf1[3] = pws[gid].i[7];
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const u32 pw_len = pws[gid].pw_len & 63;
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/**
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* loop
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*/
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for (u32 il_pos = 0; il_pos < il_cnt; il_pos += VECT_SIZE)
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{
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u32x w0[4] = { 0 };
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u32x w1[4] = { 0 };
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u32x w2[4] = { 0 };
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u32x w3[4] = { 0 };
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const u32x out_len = apply_rules_vect_optimized (pw_buf0, pw_buf1, pw_len, rules_buf, il_pos, w0, w1);
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append_0x80_2x4_VV (w0, w1, out_len);
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u32x w[16];
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w[ 0] = w0[0];
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w[ 1] = w0[1];
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w[ 2] = w0[2];
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w[ 3] = w0[3];
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w[ 4] = w1[0];
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w[ 5] = w1[1];
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w[ 6] = w1[2];
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w[ 7] = w1[3];
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w[ 8] = 0;
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w[ 9] = 0;
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w[10] = 0;
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w[11] = 0;
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w[12] = 0;
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w[13] = 0;
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w[14] = out_len * 8;
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w[15] = 0;
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/**
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* RipeMD160
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*/
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u32x dgst[5];
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dgst[0] = RIPEMD160M_A;
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dgst[1] = RIPEMD160M_B;
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dgst[2] = RIPEMD160M_C;
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dgst[3] = RIPEMD160M_D;
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dgst[4] = RIPEMD160M_E;
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ripemd160_transform_transport_vector (w, dgst);
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COMPARE_M_SIMD (dgst[0], dgst[1], dgst[2], dgst[3]);
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}
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}
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KERNEL_FQ void m06000_m08 (KERN_ATTR_RULES ())
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{
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}
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KERNEL_FQ void m06000_m16 (KERN_ATTR_RULES ())
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{
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}
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KERNEL_FQ void m06000_s04 (KERN_ATTR_RULES ())
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{
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/**
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* modifier
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*/
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const u64 lid = get_local_id (0);
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/**
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* base
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*/
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const u64 gid = get_global_id (0);
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if (gid >= gid_max) return;
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u32 pw_buf0[4];
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u32 pw_buf1[4];
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pw_buf0[0] = pws[gid].i[0];
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pw_buf0[1] = pws[gid].i[1];
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pw_buf0[2] = pws[gid].i[2];
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pw_buf0[3] = pws[gid].i[3];
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pw_buf1[0] = pws[gid].i[4];
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pw_buf1[1] = pws[gid].i[5];
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pw_buf1[2] = pws[gid].i[6];
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pw_buf1[3] = pws[gid].i[7];
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const u32 pw_len = pws[gid].pw_len & 63;
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/**
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* digest
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*/
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const u32 search[4] =
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{
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digests_buf[digests_offset].digest_buf[DGST_R0],
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digests_buf[digests_offset].digest_buf[DGST_R1],
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digests_buf[digests_offset].digest_buf[DGST_R2],
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digests_buf[digests_offset].digest_buf[DGST_R3]
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};
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/**
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* loop
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*/
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for (u32 il_pos = 0; il_pos < il_cnt; il_pos += VECT_SIZE)
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{
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u32x w0[4] = { 0 };
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u32x w1[4] = { 0 };
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u32x w2[4] = { 0 };
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u32x w3[4] = { 0 };
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const u32x out_len = apply_rules_vect_optimized (pw_buf0, pw_buf1, pw_len, rules_buf, il_pos, w0, w1);
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append_0x80_2x4_VV (w0, w1, out_len);
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u32x w[16];
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w[ 0] = w0[0];
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w[ 1] = w0[1];
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w[ 2] = w0[2];
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w[ 3] = w0[3];
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w[ 4] = w1[0];
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w[ 5] = w1[1];
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w[ 6] = w1[2];
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w[ 7] = w1[3];
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w[ 8] = 0;
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w[ 9] = 0;
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w[10] = 0;
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w[11] = 0;
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w[12] = 0;
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w[13] = 0;
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w[14] = out_len * 8;
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w[15] = 0;
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/**
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* RipeMD160
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*/
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u32x dgst[5];
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dgst[0] = RIPEMD160M_A;
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dgst[1] = RIPEMD160M_B;
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dgst[2] = RIPEMD160M_C;
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dgst[3] = RIPEMD160M_D;
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dgst[4] = RIPEMD160M_E;
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ripemd160_transform_transport_vector (w, dgst);
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COMPARE_S_SIMD (dgst[0], dgst[1], dgst[2], dgst[3]);
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}
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}
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KERNEL_FQ void m06000_s08 (KERN_ATTR_RULES ())
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{
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}
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KERNEL_FQ void m06000_s16 (KERN_ATTR_RULES ())
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{
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}
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