Hey I'm only getting about 150Mkey/s with a GTX 1080 ti with the following settings: clBitCrack.exe -c -b 224 -t 128 -p 1024 -o results.txt 1Me6EfpwZK5kQziBwBfvLiHjaPGxCKLoJi --keyspace [blahblahhexcode]
Is there any way to speed it up?
Topic: [ARCHIVE] Bitcoin challenge discusion - page 27. (Read 29427 times)
I updated the main thread with an additional tool (Pollard Kangaroo implementation for CPU in Python3) and a set of public keys for addresses with an outgoing transaction, as well as the date of solution and the author. I am asking for information of the person / solution authors and info for updating
BTW: please use this format when you adding large of data to this topic:
much better isn't it?
BTW: please use this format when you adding large of data to this topic:
much better isn't it?
Thank you for your job! Much appreciated.
Just one question - what was the principle that the ranges are not incremental, i.e. there are some "spaces" between ranges?
--keyspace 34cccd52e9154d01:34cccd7f9d2cd300
It's about order. Push as much information as possible, but not at all. You shit in your own backyard and then walk on your own excrement knowing that you screwed up there! Such a problem, add two tags before and after the code?
P.S. You don't have to worry about my finances ... they are safe.
Know one thing ... I have all my knowledge that I have had and have ever published in this topic - I gave it not to harm anyone, but to help! so don't treat me like my worst enemy because of the last addresses that I opened and that I am also seeking next ones, or because I am asking you for order for the sake of ALL (including you). Do you like to ride this scroll so much in this mouse while going down the subject? I could honestly write that I'm fucked for you, but I respect everyone here and I would have to be total ignorant and selfish to do that.
...because the size of range # 62 is so powerful that you can't imagine it.
P.S. You don't have to worry about my finances ... they are safe.
Know one thing ... I have all my knowledge that I have had and have ever published in this topic - I gave it not to harm anyone, but to help! so don't treat me like my worst enemy because of the last addresses that I opened and that I am also seeking next ones, or because I am asking you for order for the sake of ALL (including you). Do you like to ride this scroll so much in this mouse while going down the subject? I could honestly write that I'm fucked for you, but I respect everyone here and I would have to be total ignorant and selfish to do that.
Quote
So if --share did it, why couldn't he find it?
...because the size of range # 62 is so powerful that you can't imagine it.
Lol...
Would you be so kind and read my last post? You are making a brothel
Would you be so kind and read my last post? You are making a brothel
I updated the main thread with an additional tool (Pollard Kangaroo implementation for CPU in Python3) and a set of public keys for addresses with an outgoing transaction, as well as the date of solution and the author. I am asking for information of the person / solution authors and info for updating
BTW: please use this format when you adding large of data to this topic:
[ code ]
example key #1
example key #2
...
[ /code ]
(no spaces in between [ ] )
As a result, it will look like this:
much better isn't it?
BTW: please use this format when you adding large of data to this topic:
[ code ]
example key #1
example key #2
...
[ /code ]
(no spaces in between [ ] )
As a result, it will look like this:
Code:
26666553D362A000 266665D7634AA000
2700000000000000 270001B4B2AC0000
28326b5ee5b13780 28326b6bb3f29d81
3000000000000000 300000A5966C0000
307A560B128BF9FF 307A56D9A34279FF
307A653BDE0079FF 307A6555B17B89FF
307C28323D762400 307C2A4912D82400
307EF8323D762400 307EF87F7930A400
30B46011F1AB6400 30B4605510496400
30B46B01F1AB6400 30B46B04A772D000
30D596C03D762400 30D597602ACB6400
30D69526F1AB6400 30D69531F41ED400
3159E2165C592FFF 3159E30E6403CFFF
3159E7165C592FFF 3159E73D6B5F2FFF
315D90165C592FFF 315D908AFB254FFF
3174E0165C592FFF 3174E0283C276FFF
31A560265C592FFF 31A560FEC03EAFFF
31A56C2DE28BF9FF 31A56C3680F7B9FF
31A5905010E1AFFF 31A590FF5C592FFF
31A5C05010E1AFFF 31A5C11F88AC6FFF
31A63E5010E1AFFF 31A63F320249AFFF
31A65E5010E1AFFF 31A65F03E373AFFF
31A6912DE28BF9FF 31A69189775EF9FF
31A6920DE28BF9FF 31A692FEE28BF9FF
31A69E5010E1AFFF 31A69E618FA42FFF
31F6B2C698864400 31F6B2C8ED696400
3246C601185E9200 3246C61E676BD200
3246F101185E9200 3246F1B3BF549200
325D49084085D200 325D4A18197DD200
325F49084085D200 325F492FF85E9200
3278B410185E9200 3278B4E435EE9200
3278B46672589200 3278B47FD118D200
32A68107EBAF4400 32A6811A15194400
32A681253EB74400 32A68297EBAF4400
32A68197EBAF4400 32A681A10872C400
32A815903EB74400 32A815B53E654400
32B5EA060AB49600 32B5EA0E57880800
32C1E1364085D200 32C1E13DD3782200
32C1E4064085D200 32C2F5F64085D200
32C2F5F64085D200 32C2F62BF964FA00
32C569401085D200 32C569833D375600
32C581404085D200 32C58142AC079200
32C58149AC079200 32C5814CE9313200
32C581504085D200 32C58167BC85D200
32C58167BC85D200 32C5831DB073D200
32C659401085D200 32C65BA3AB39D200
32C9E9401085D200 32C9E95A11F1D200
32D1E401ED696400 32D1E42CC8696400
32D1E501ED696400 32D1E5065AD5A400
32D1E513ED696400 32D1E5164E3CC400
32D2E401ED696400 32D2E419D5696400
32F07EC1ED696400 32F07ECDD0D82400
32F08EC1ED696400 32F08EC6B3F22400
32F09EC1ED696400 32F09EEE5D696400
32F17EC1ED696400 32F17EC56BB2E400
32F18EC6B3F22400 32F18EDBAC3B6400
32F19EEE5D696400 32F19F6B17E16400
32F204EE5D696400 32F20602D8516400
32F214EE5D696400 32F21502DCD92400
32F27EC1ED696400 32F27EC441B1D400
32F37EC1ED696400 32F37F4AEF692400
32F47EC1ED696400 32F47ED2D6AC6800
32F57EC1ED696400 32F57EC5D6FFA400
32F67EC1ED696400 32F67EC53EB74400
32F87EC53EB74400 32F87F0829C22400
32F90EC53EB74400 32F9116A3FB74401
32F91EC53EB74400 32F91ED367C04C80
3307B52435A35000 3307B52C4C109C00
3365D7B013D25200 3365D7C3BB8F5200
3369CA10185E9200 3369CA1130855200
336F495011000000 336F495E40978000
3396B41013D25200 3396B41925995200
339B4D5013D25200 339B4D620553D200
339B6C7013D25200 339B6C8032689200
339F106D53D25200 339F1139368C5200
339F206D53D25200 339F20880DDCD200
339F26A013D25200 339F26A8F5619200
339F27A015619200 339F27B0F3021200
339F27A015619200 339F2A5A4C10D200
339F2E012FFF5200 339F2E02188A9200
339F2E7010FF5200 339F2E8217415200
339F2EB010415200 339F2EBF723E5200
339F2EC010415200 339F2ED783AC5200
339F85D010415200 339F85D81B94D200
339F85E010415200 339F85EFE80A9200
33B15941D0CA0400 33B159A792FC0400
33B42E1035A35000 33B430F0D14C5000
33B46F81D0CA0400 33B46F92021B3000
33B49E01C3059000 33B49E7CAE960600
33B4D51435A35000 33B4D5B25B999000
33B52089C3059000 33B5209194F99000
33C4D589C3059000 33C4D5948C05F800
33C95801D0CA0400 33C9589978D45000
33C9680401000000 33C96953FD0A0400
33D4D589C3059000 33D4D594BA269000
33E2794010415200 33E27A2354555200
33E284A011BDA400 33E284C656E4EE00
33E46B1010415200 33E46B2325825200
33E7690110415200 33E76B3F80815070
33E8945011BDA400 33E894559750A400
33F46501D0CA0400 33F465AFCDFED800
33F4D501D0CA0400 33F4D61962520400
33F4D57010CA0400 33F4D591E3639400
33F4D701D0CA0400 33F4DB3593DE0400
342D5C6012D65200 342D5C7A5ABE1200
3469B57012D65200 3469B58334E89200
346F59016D4B1200 346F59122D9F9200
347EB5016D4B1200 347EB517E4A2D200
347EB590134B1200 347EB59B86CFD200
348D7B106D4B1200 348D7B2110539200
348D7B406D4B1200 348D7BA049D21200
3490BE2011975200 3490BE3028DA9200
3495B01801975200 3495B01E88AF5200
349EB12C01975200 349EB1345FECD200
349FA68001975200 349FA6D96B9B1200
34B0F6901126D200 34B0F691E0689200
34B2E60130689200 34B2E6F130689200
34B2E60130689200 34B2E607F83F9200
34ccccbde61a2d01 34cccd086798cd01
34cccccdc0f0cd01 34cccd086798cd01
34E65901C3059000 34E65908FE959000
35B62D12BBAAE400 35B62D97FAFEE400
35B6EA0DA4B7AA00 35B6EA42BBAAE400
38BD94011E960600 38BD941FF6180600
38BD94211E960600 38BD94411E960600
38BD94411E960600 38BD9451840CCE00
38BD94611E960600 38BD94911E960600
38BD94911E960600 38BD94AF35390600
38BD94B11E960600 38BD94CC43CE0600
3A54B01194BCB600 3A54B11194BCB600
3A54B11194BCB600 3A54B21194BCB600
3A54B21194BCB600 3A54B31194BCB600
3A54B31194BCB600 3A54B32BD3F9B600
3A54B41194BCB600 3A54B42C6838E200
3A54B51194BCB600 3A54B5473E0AB600
3A54B61194BCB600 3A54B6422EC0F600
3B469D313E960600 3B469D5615400600
3B469E013E960600 3B469E14433D0600
3B469E201E960600 3B469EB5A2F40600
3B469E64B6668600 3B469EB5A2F40600
3B469F013E960600 3B469F123EA30600
3B469F313E960600 3B469F43B96BC600
3B469F613E960600 3B469F6B793D0600
3B8EAC0100000000 3B8EAC1C3247C000
3B96D40201D19600 3B96D412686D5600
3B96D435016D5600 3B96D439BB24D600
3B96D435016D5600 3B96D43F6CC19600
3B96D462016D5600 3B96D46399C09600
3B96D464016D5600 3B96D466C60B9600
3B96D467016D5600 3B96D470B1E55600
3B96D870116D5600 3B96D872732B1600
3B96D874016D5600 3B96D87BE16B1600
3B96D87C016D5600 3B96D8818E535600
3B96D8B2016D5600 3B96D8BCF2F0D600
3B96D8BD016D5600 3B96D8C373351600
3B9D641F628CB600 3B9D64EA6D4F3600
3BD46A25016D5600 3BD46A28E0071600
3BD46A2B016D5600 3BD46A2DB93A5600
3BD46A2E016D5600 3BD46A305DACD600
3BD46A35016D5600 3BD46A3863841600
3BD46A3863841600 3BD46A3E00E4D600
3BD46A52016D5600 3BD46A562E271600
3BD46A58016D5600 3BD46A5B47709600
3BD46A5E016D5600 3BD46A6031BAD600
3BD46A91016D5600 3BD46A9360BA1600
3BD46A96016D5600 3BD46A9852141600
3BD46A9A016D5600 3BD46A9FCAC01600
3BD46C52016D5600 3BD46C57BA455600
3BD46C57016D5600 3BD46C6196C71600
3BE7860492443600 3BE78644F1C23600
3BE786A00E80F600 3BE786AA05C5F600
3BE786B011C23600 3BE786BBF1EB7600
3C13B4010D2BF600 3C13B445E33DF600
3C14B401C26C3600 3C14B421C26C3600
3C14B421C26C3600 3C14B436F04C3600
3C14B621C26C3600 3C14B64708E73600
3C14B671C26C3600 3C14B68401CF3600
3C15B405E33DF600 3C15B436255E3600
3C23B401C26C3600 3C23B42B407E3600
3C25B901C26C3600 3C25B9423F363600
3C52E605E33DF600 3C52E6303597B600
3C569520F1000000 3C5695AECBD80000
3C59B520F1000000 3C59B5383CBEC000
3C81E705E33DF600 3C81E74F628CB600
3C9B472E01000000 3C9B49565CE1C000
3CA4D520F1000000 3CA4D57FB1E4D800
3CA4D620F1000000 3CA4D6F832AA0000
3CA5291101600000 3CA529121D304000
3CA5291501600000 3CA52919EC87C000
3CA5291C01600000 3CA5292414A2C000
3CA529A201600000 3CA529A63E948000
3CA529B201600000 3CA529B5B7150000
3CA529B601600000 3CA529BE31EEC000
3CA5E43017100000 3CA5E43193EC0000
3CA5E43501600000 3CA5E43F15F10000
3CA5E46017100000 3CA5E4618BFCC000
3CA5E46201600000 3CA5E463697B8000
3CA5E46701600000 3CA5E46874780000
3CA5E49017100000 3CA5E49181004000
3CA62E1051600000 3CA62EC25B60C000
3CAA6015C05F2934 3CAA60A1957DA934
3D0E9B850119B600 3D0E9B8A486B3600
3D0F9B850119B600 3D0F9B8B97807600
3D15B6010D2BF600 3D15B8648B60A600
3D16B8310D2BF600 3D16B8CF31CA7600
3D1E9B850119B600 3D1E9B9015677600
3D1F9B850119B600 3D1F9B8C875EB600
3D29B6010D2BF600 3D29B66C56FDF600
3D29B67001FDF600 3D29B671E8713600
3D29B67401FDF600 3D29B679F1283600
3D29B67C01FDF600 3D29B6802CE2F600
3D29B68011FDF600 3D29B688D8B23600
3D29B82011FDF600 3D29B82703F23600
3D29B82901FDF600 3D29B82FEA2E3600
3D29B862012DF600 3D29B864459FB600
3D29B867012DF600 3D29B870F2587600
3D2F9B850119B600 3D2F9B8ACC413600
3D438B0168BDF600 3D438B4168BDF600
3D49B6011119B600 3D49B65454687600
3D49B67014687600 3D49B68C8FAAF600
3D49B68D01AAF600 3D49B692BE2C7600
3D4E9B801119B600 3D4E9BD201A9B600
3D5B87091119B600 3D5B87590DC8F600
3D5B8E091119B600 3D5B8E09D8809600
3D5B8E29D8809600 3D5B8E49D8809600
3D5B8E49D8809600 3D5B8E69D8809600
3D5B8E69D8809600 3D5B8E89D8809600
3D65C840090D3000 3D65C84CBE39B000
3D693B0401000000 3D693BAD952D3000
3D69B4010D2BF600 3D69B466E938B600
3D69B4501F19B600 3D69B45FB286F600
3D6AB3801119B600 3D6AB3813B8FF600
3D6AB3820119B600 3D6AB38C77EEF600
3D6AB38D0119B600 3D6AB38E13C23600
3D6AB38F0119B600 3D6AB3930F4EF600
3D6B9402628CB600 3D6B941172C03600
3D6B945022C03600 3D6B94F951E87600
3D76B5010D2BF600 3D76B560C4587600
3D76B5810D2BF600 3D76B7A372E7F600
3ddc8bab2da2c001 3ddc9bab2da2cf01
3ddc8bb176f60f01 3ddc9bab2da2cf01
3E16D4301101E934 3E16D4901101E934
3E26D4301101E934 3E26D4A1EEC9A934
3E2B36A01101E934 3E2B36AE622B2934
3E408B2011C01600 3E408B28EC989600
3E408B9011C01600 3E408BDF50015600
3E469A2501309600 3E469A270760D600
3E469A290160D600 3E469A2C0F3D1600
3E469A2E0160D600 3E469A30D4A51600
3E469A3501309600 3E469A3E1875D600
3E469A5201309600 3E469A5424ACD600
3E469A5801309600 3E469A610F4E1600
3E469A62014E1600 3E469A65A7249600
3E469A6701249600 3E469A691D4DD600
3E469A6A014DD600 3E469A73BB89D600
3E469A740189D600 3E469A7700C01600
3E469A7C0189D600 3E469A9C4CC01600
3E469AB01CC01600 3E469AB9866B1600
3E469AC011C01600 3E469AC26A561600
3E46D2501101E934 3E46D29751F96934
3E46D5201101E934 3E46D5305F33A934
3E49B850158CE934 3E49BAB87A2E6934
3E65B1700101E934 3E65B241C89EE934
3E67D490158CE934 3E67D64E56E22934
3E6AD359D8809600 3E6AD3743D181600
3E6D79401101E934 3E6D7A22758CE934
3E6DA720758CE934 3E6DB120758CE934
3E96D480105F2934 3E96D4906101E934
3E96D4910101E934 3E96D5056C796934
much better isn't it?
P.S. ~85% scanned already in #62
It is a lottery with increasing chances
Even anybody with small speed could start "digging" from the right place and find the "gold". Which area is not scanned at the moment for #62?I have collected this information regards scanned areas from this thread, i suspect a lot more have been covered which is not posted
26666553D362A000 266665D7634AA000
2700000000000000 270001B4B2AC0000
28326b5ee5b13780 28326b6bb3f29d81
3000000000000000 300000A5966C0000
307A560B128BF9FF 307A56D9A34279FF
307A653BDE0079FF 307A6555B17B89FF
307C28323D762400 307C2A4912D82400
307EF8323D762400 307EF87F7930A400
30B46011F1AB6400 30B4605510496400
30B46B01F1AB6400 30B46B04A772D000
30D596C03D762400 30D597602ACB6400
30D69526F1AB6400 30D69531F41ED400
3159E2165C592FFF 3159E30E6403CFFF
3159E7165C592FFF 3159E73D6B5F2FFF
315D90165C592FFF 315D908AFB254FFF
3174E0165C592FFF 3174E0283C276FFF
31A560265C592FFF 31A560FEC03EAFFF
31A56C2DE28BF9FF 31A56C3680F7B9FF
31A5905010E1AFFF 31A590FF5C592FFF
31A5C05010E1AFFF 31A5C11F88AC6FFF
31A63E5010E1AFFF 31A63F320249AFFF
31A65E5010E1AFFF 31A65F03E373AFFF
31A6912DE28BF9FF 31A69189775EF9FF
31A6920DE28BF9FF 31A692FEE28BF9FF
31A69E5010E1AFFF 31A69E618FA42FFF
31F6B2C698864400 31F6B2C8ED696400
3246C601185E9200 3246C61E676BD200
3246F101185E9200 3246F1B3BF549200
325D49084085D200 325D4A18197DD200
325F49084085D200 325F492FF85E9200
3278B410185E9200 3278B4E435EE9200
3278B46672589200 3278B47FD118D200
32A68107EBAF4400 32A6811A15194400
32A681253EB74400 32A68297EBAF4400
32A68197EBAF4400 32A681A10872C400
32A815903EB74400 32A815B53E654400
32B5EA060AB49600 32B5EA0E57880800
32C1E1364085D200 32C1E13DD3782200
32C1E4064085D200 32C2F5F64085D200
32C2F5F64085D200 32C2F62BF964FA00
32C569401085D200 32C569833D375600
32C581404085D200 32C58142AC079200
32C58149AC079200 32C5814CE9313200
32C581504085D200 32C58167BC85D200
32C58167BC85D200 32C5831DB073D200
32C659401085D200 32C65BA3AB39D200
32C9E9401085D200 32C9E95A11F1D200
32D1E401ED696400 32D1E42CC8696400
32D1E501ED696400 32D1E5065AD5A400
32D1E513ED696400 32D1E5164E3CC400
32D2E401ED696400 32D2E419D5696400
32F07EC1ED696400 32F07ECDD0D82400
32F08EC1ED696400 32F08EC6B3F22400
32F09EC1ED696400 32F09EEE5D696400
32F17EC1ED696400 32F17EC56BB2E400
32F18EC6B3F22400 32F18EDBAC3B6400
32F19EEE5D696400 32F19F6B17E16400
32F204EE5D696400 32F20602D8516400
32F214EE5D696400 32F21502DCD92400
32F27EC1ED696400 32F27EC441B1D400
32F37EC1ED696400 32F37F4AEF692400
32F47EC1ED696400 32F47ED2D6AC6800
32F57EC1ED696400 32F57EC5D6FFA400
32F67EC1ED696400 32F67EC53EB74400
32F87EC53EB74400 32F87F0829C22400
32F90EC53EB74400 32F9116A3FB74401
32F91EC53EB74400 32F91ED367C04C80
3307B52435A35000 3307B52C4C109C00
3365D7B013D25200 3365D7C3BB8F5200
3369CA10185E9200 3369CA1130855200
336F495011000000 336F495E40978000
3396B41013D25200 3396B41925995200
339B4D5013D25200 339B4D620553D200
339B6C7013D25200 339B6C8032689200
339F106D53D25200 339F1139368C5200
339F206D53D25200 339F20880DDCD200
339F26A013D25200 339F26A8F5619200
339F27A015619200 339F27B0F3021200
339F27A015619200 339F2A5A4C10D200
339F2E012FFF5200 339F2E02188A9200
339F2E7010FF5200 339F2E8217415200
339F2EB010415200 339F2EBF723E5200
339F2EC010415200 339F2ED783AC5200
339F85D010415200 339F85D81B94D200
339F85E010415200 339F85EFE80A9200
33B15941D0CA0400 33B159A792FC0400
33B42E1035A35000 33B430F0D14C5000
33B46F81D0CA0400 33B46F92021B3000
33B49E01C3059000 33B49E7CAE960600
33B4D51435A35000 33B4D5B25B999000
33B52089C3059000 33B5209194F99000
33C4D589C3059000 33C4D5948C05F800
33C95801D0CA0400 33C9589978D45000
33C9680401000000 33C96953FD0A0400
33D4D589C3059000 33D4D594BA269000
33E2794010415200 33E27A2354555200
33E284A011BDA400 33E284C656E4EE00
33E46B1010415200 33E46B2325825200
33E7690110415200 33E76B3F80815070
33E8945011BDA400 33E894559750A400
33F46501D0CA0400 33F465AFCDFED800
33F4D501D0CA0400 33F4D61962520400
33F4D57010CA0400 33F4D591E3639400
33F4D701D0CA0400 33F4DB3593DE0400
342D5C6012D65200 342D5C7A5ABE1200
3469B57012D65200 3469B58334E89200
346F59016D4B1200 346F59122D9F9200
347EB5016D4B1200 347EB517E4A2D200
347EB590134B1200 347EB59B86CFD200
348D7B106D4B1200 348D7B2110539200
348D7B406D4B1200 348D7BA049D21200
3490BE2011975200 3490BE3028DA9200
3495B01801975200 3495B01E88AF5200
349EB12C01975200 349EB1345FECD200
349FA68001975200 349FA6D96B9B1200
34B0F6901126D200 34B0F691E0689200
34B2E60130689200 34B2E6F130689200
34B2E60130689200 34B2E607F83F9200
34ccccbde61a2d01 34cccd086798cd01
34cccccdc0f0cd01 34cccd086798cd01
34E65901C3059000 34E65908FE959000
35B62D12BBAAE400 35B62D97FAFEE400
35B6EA0DA4B7AA00 35B6EA42BBAAE400
38BD94011E960600 38BD941FF6180600
38BD94211E960600 38BD94411E960600
38BD94411E960600 38BD9451840CCE00
38BD94611E960600 38BD94911E960600
38BD94911E960600 38BD94AF35390600
38BD94B11E960600 38BD94CC43CE0600
3A54B01194BCB600 3A54B11194BCB600
3A54B11194BCB600 3A54B21194BCB600
3A54B21194BCB600 3A54B31194BCB600
3A54B31194BCB600 3A54B32BD3F9B600
3A54B41194BCB600 3A54B42C6838E200
3A54B51194BCB600 3A54B5473E0AB600
3A54B61194BCB600 3A54B6422EC0F600
3B469D313E960600 3B469D5615400600
3B469E013E960600 3B469E14433D0600
3B469E201E960600 3B469EB5A2F40600
3B469E64B6668600 3B469EB5A2F40600
3B469F013E960600 3B469F123EA30600
3B469F313E960600 3B469F43B96BC600
3B469F613E960600 3B469F6B793D0600
3B8EAC0100000000 3B8EAC1C3247C000
3B96D40201D19600 3B96D412686D5600
3B96D435016D5600 3B96D439BB24D600
3B96D435016D5600 3B96D43F6CC19600
3B96D462016D5600 3B96D46399C09600
3B96D464016D5600 3B96D466C60B9600
3B96D467016D5600 3B96D470B1E55600
3B96D870116D5600 3B96D872732B1600
3B96D874016D5600 3B96D87BE16B1600
3B96D87C016D5600 3B96D8818E535600
3B96D8B2016D5600 3B96D8BCF2F0D600
3B96D8BD016D5600 3B96D8C373351600
3B9D641F628CB600 3B9D64EA6D4F3600
3BD46A25016D5600 3BD46A28E0071600
3BD46A2B016D5600 3BD46A2DB93A5600
3BD46A2E016D5600 3BD46A305DACD600
3BD46A35016D5600 3BD46A3863841600
3BD46A3863841600 3BD46A3E00E4D600
3BD46A52016D5600 3BD46A562E271600
3BD46A58016D5600 3BD46A5B47709600
3BD46A5E016D5600 3BD46A6031BAD600
3BD46A91016D5600 3BD46A9360BA1600
3BD46A96016D5600 3BD46A9852141600
3BD46A9A016D5600 3BD46A9FCAC01600
3BD46C52016D5600 3BD46C57BA455600
3BD46C57016D5600 3BD46C6196C71600
3BE7860492443600 3BE78644F1C23600
3BE786A00E80F600 3BE786AA05C5F600
3BE786B011C23600 3BE786BBF1EB7600
3C13B4010D2BF600 3C13B445E33DF600
3C14B401C26C3600 3C14B421C26C3600
3C14B421C26C3600 3C14B436F04C3600
3C14B621C26C3600 3C14B64708E73600
3C14B671C26C3600 3C14B68401CF3600
3C15B405E33DF600 3C15B436255E3600
3C23B401C26C3600 3C23B42B407E3600
3C25B901C26C3600 3C25B9423F363600
3C52E605E33DF600 3C52E6303597B600
3C569520F1000000 3C5695AECBD80000
3C59B520F1000000 3C59B5383CBEC000
3C81E705E33DF600 3C81E74F628CB600
3C9B472E01000000 3C9B49565CE1C000
3CA4D520F1000000 3CA4D57FB1E4D800
3CA4D620F1000000 3CA4D6F832AA0000
3CA5291101600000 3CA529121D304000
3CA5291501600000 3CA52919EC87C000
3CA5291C01600000 3CA5292414A2C000
3CA529A201600000 3CA529A63E948000
3CA529B201600000 3CA529B5B7150000
3CA529B601600000 3CA529BE31EEC000
3CA5E43017100000 3CA5E43193EC0000
3CA5E43501600000 3CA5E43F15F10000
3CA5E46017100000 3CA5E4618BFCC000
3CA5E46201600000 3CA5E463697B8000
3CA5E46701600000 3CA5E46874780000
3CA5E49017100000 3CA5E49181004000
3CA62E1051600000 3CA62EC25B60C000
3CAA6015C05F2934 3CAA60A1957DA934
3D0E9B850119B600 3D0E9B8A486B3600
3D0F9B850119B600 3D0F9B8B97807600
3D15B6010D2BF600 3D15B8648B60A600
3D16B8310D2BF600 3D16B8CF31CA7600
3D1E9B850119B600 3D1E9B9015677600
3D1F9B850119B600 3D1F9B8C875EB600
3D29B6010D2BF600 3D29B66C56FDF600
3D29B67001FDF600 3D29B671E8713600
3D29B67401FDF600 3D29B679F1283600
3D29B67C01FDF600 3D29B6802CE2F600
3D29B68011FDF600 3D29B688D8B23600
3D29B82011FDF600 3D29B82703F23600
3D29B82901FDF600 3D29B82FEA2E3600
3D29B862012DF600 3D29B864459FB600
3D29B867012DF600 3D29B870F2587600
3D2F9B850119B600 3D2F9B8ACC413600
3D438B0168BDF600 3D438B4168BDF600
3D49B6011119B600 3D49B65454687600
3D49B67014687600 3D49B68C8FAAF600
3D49B68D01AAF600 3D49B692BE2C7600
3D4E9B801119B600 3D4E9BD201A9B600
3D5B87091119B600 3D5B87590DC8F600
3D5B8E091119B600 3D5B8E09D8809600
3D5B8E29D8809600 3D5B8E49D8809600
3D5B8E49D8809600 3D5B8E69D8809600
3D5B8E69D8809600 3D5B8E89D8809600
3D65C840090D3000 3D65C84CBE39B000
3D693B0401000000 3D693BAD952D3000
3D69B4010D2BF600 3D69B466E938B600
3D69B4501F19B600 3D69B45FB286F600
3D6AB3801119B600 3D6AB3813B8FF600
3D6AB3820119B600 3D6AB38C77EEF600
3D6AB38D0119B600 3D6AB38E13C23600
3D6AB38F0119B600 3D6AB3930F4EF600
3D6B9402628CB600 3D6B941172C03600
3D6B945022C03600 3D6B94F951E87600
3D76B5010D2BF600 3D76B560C4587600
3D76B5810D2BF600 3D76B7A372E7F600
3ddc8bab2da2c001 3ddc9bab2da2cf01
3ddc8bb176f60f01 3ddc9bab2da2cf01
3E16D4301101E934 3E16D4901101E934
3E26D4301101E934 3E26D4A1EEC9A934
3E2B36A01101E934 3E2B36AE622B2934
3E408B2011C01600 3E408B28EC989600
3E408B9011C01600 3E408BDF50015600
3E469A2501309600 3E469A270760D600
3E469A290160D600 3E469A2C0F3D1600
3E469A2E0160D600 3E469A30D4A51600
3E469A3501309600 3E469A3E1875D600
3E469A5201309600 3E469A5424ACD600
3E469A5801309600 3E469A610F4E1600
3E469A62014E1600 3E469A65A7249600
3E469A6701249600 3E469A691D4DD600
3E469A6A014DD600 3E469A73BB89D600
3E469A740189D600 3E469A7700C01600
3E469A7C0189D600 3E469A9C4CC01600
3E469AB01CC01600 3E469AB9866B1600
3E469AC011C01600 3E469AC26A561600
3E46D2501101E934 3E46D29751F96934
3E46D5201101E934 3E46D5305F33A934
3E49B850158CE934 3E49BAB87A2E6934
3E65B1700101E934 3E65B241C89EE934
3E67D490158CE934 3E67D64E56E22934
3E6AD359D8809600 3E6AD3743D181600
3E6D79401101E934 3E6D7A22758CE934
3E6DA720758CE934 3E6DB120758CE934
3E96D480105F2934 3E96D4906101E934
3E96D4910101E934 3E96D5056C796934
At the moment im doing a scan from 3961B406A89706AE towards -> 3A54B01194BCB600 as this wasn't reported as scanned...
anyone set up amd drivers on ubuntu 19.04?
got troubles with it)
got troubles with it)
P.S. ~85% scanned already in #62
It is a lottery with increasing chances
Even anybody with small speed could start "digging" from the right place and find the "gold". Which area is not scanned at the moment for #62? #63 - 1NpYjtLira16LfGbGwZJ5JbDPh3ai9bjf4
Hex PK: 0000000000000000000000000000000000000000000000007CCE5EFDACCF6808
Private key: KwDiBf89QgGbjEhKnhXJuH7LrciVrZi3qYv5Z9J7hv7VYYN3XL3Y
My calclulations :
63 bit key all combinations = 9223372036854775808 2^63 ?
for 1 day you can calclulate 3214080000000000 keys
9223372036854775808/3214080000000000 = 2869.6771819166840302668259657507 days
Am i wrong with calclulations ?
Yes, 2 times wrong. The range for 63 bit key is not 2^63, but 2^62. For 63bit key 2^63 is the total number of combinations for all bits up to 63 (inlding 66, 61, etc). BUt the range for 63 is 2^63 (ending number) - 2^62 (starting number) = 2^62
By the way, on the main table in the 1st post of this topic where is also column "Range size in DECIMAL (DIFF)" showing the total number of combinations for all previous bits, and not just for a range as named
When referring to the table - you must subtract the previous one from the current height to get the size of the current rank. A simple calculation without using the brain - the size of the interval from beginning to end = the upper height of the previous interval.
As for references to my posts: I just want to clarify (and I wrote about it then) that I approach each compartment individually and the values "--share" or the search pattern is different (which was also a factor allowing me to disclose such information). All kinds of calculations of the keys I checked will be at most "in the x% part covering my completed ranges"
Today I will devote some time to refining the table together with additional data.
P.S. ~85% scanned already in #62
#63 - 1NpYjtLira16LfGbGwZJ5JbDPh3ai9bjf4
Hex PK: 0000000000000000000000000000000000000000000000007CCE5EFDACCF6808
Private key: KwDiBf89QgGbjEhKnhXJuH7LrciVrZi3qYv5Z9J7hv7VYYN3XL3Y
My calclulations :
63 bit key all combinations = 9223372036854775808 2^63 ?
for 1 day you can calclulate 3214080000000000 keys
9223372036854775808/3214080000000000 = 2869.6771819166840302668259657507 days
Am i wrong with calclulations ?
Yes, 2 times wrong. The range for 63 bit key is not 2^63, but 2^62. For 63bit key 2^63 is the total number of combinations for all bits up to 63 (inlding 66, 61, etc). BUt the range for 63 is 2^63 (ending number) - 2^62 (starting number) = 2^62
By the way, on the main table in the 1st post of this topic where is also column "Range size in DECIMAL (DIFF)" showing the total number of combinations for all previous bits, and not just for a range as named
All friends forgot something.
@Zielar Power in one day: 32140800000000000 Decimal
45 days have passed since the day you started.
2305843009213693951 + 1446336000000000000 = 3752179009213693951
Hex Code: 34126AEDD1DBFFFF
62. The wallet is larger than this.
@Zielar Power in one day: 32140800000000000 Decimal
45 days have passed since the day you started.
2305843009213693951 + 1446336000000000000 = 3752179009213693951
Hex Code: 34126AEDD1DBFFFF
62. The wallet is larger than this.
I don't think we can assume that range has been completed...contiguously. (yet)
see zielar's post on "--share", whims, and weather:
https://bitcointalksearch.org/topic/m.52019795
I use the "--share" function for this, thanks to which I have scripts that start divided into X parts (read internal ranges).
For each space I determine X individually (based on my own whim) and based only on my mood or the weather. My whim of X's arrangements for space 63 resulted in the fact that the last set scanned the space from the value of 'Y', which was lower than the proper key, respectively, so that I needed three days to reach the key. I can not say the same about the '62' range, which did not show the right key despite the fact that all readings are already at the level BELOW of the month until the end of the full scan.
For each space I determine X individually (based on my own whim) and based only on my mood or the weather. My whim of X's arrangements for space 63 resulted in the fact that the last set scanned the space from the value of 'Y', which was lower than the proper key, respectively, so that I needed three days to reach the key. I can not say the same about the '62' range, which did not show the right key despite the fact that all readings are already at the level BELOW of the month until the end of the full scan.
Searched these ranges for #62 today
2a2fd09da95ca49e:2a2fd367315ca49e
2fffffffffffe8d8:3000000eb1ffe8d8
3e96e6dbb2c48134:3e96e74ea8c48134
2a2fd09da95ca49e:2a2fd367315ca49e
2fffffffffffe8d8:3000000eb1ffe8d8
3e96e6dbb2c48134:3e96e74ea8c48134
thanks for posting scanned ranges for #62
i actually also did scan this area with no luck:
3000000000000000:300000A5966C0000
Im running with a GTX 680 at approx 53 Mkey/s
lets do this together
i actually also did scan this area with no luck:
3000000000000000:300000A5966C0000
Im running with a GTX 680 at approx 53 Mkey/s
lets do this together
Quote
the 580 has 36 computing units, so the b parameter should be at most 72 (2×36) otherwise this gpu is not efficient. the t parameter is at most 256 for this type of graphic card. the p parameter does not need to be more than 1024 in my experience.
so with -b 72 -t 256 -p 1024 you will get around 100Mkey/s
to save electricity, you may underclock the core to 933 MHz with a mem clock no more than 2000MHz and still get around 95Mkey/s.
so with -b 72 -t 256 -p 1024 you will get around 100Mkey/s
to save electricity, you may underclock the core to 933 MHz with a mem clock no more than 2000MHz and still get around 95Mkey/s.
In these parameters, 70-72 MKey / Sec result
could you run clinfo and post output here?
https://gist.github.com/natmchugh/e094232a3975b89bff2d
In terminal:
lol, not so simple
Its used import some old version(maybe clone) ecdsa library (there are also "class Point")
Also we can use raw.githubusercontent.com/andreacorbellini/ecc/master/logs/common.py
Also we can use raw.githubusercontent.com/qubd/mini_ecdsa/master/mini_ecdsa.py
(mini_ecdsa need some fix for python3)
(and it lib have own pollard-rho! but dont try run it for secp256k1, need custom ecc with low order! example look at homepage)
Also we can use the fastest coincurve github.com/ofek/coincurve
######
Fact: origin basepoint in code is currupted.. and origin value some exotics..
######
Its code is classic/early/not_optimized kangaroo
- not use distinguished points
- total run-time of approximately 3.28(w^(1/2)) group operations
######
Who cares, i builded 4 realease with each lib
www.sendspace.com/file/wdyg2o
here the fastest based coincurve
------------------------------------
update, add cffi, +30% speed
get X,Y using .point() is slow, cffi faster
...
The problem is the initial stage, because python error:
Uncle Google has no idea how to get out of it :-)
The problem is the initial stage, because python error:
Code:
Traceback (most recent call last):
File "polard3.py", line 2, in
from Ecc import Ecc
ImportError: cannot import name Ecc
File "polard3.py", line 2, in
from Ecc import Ecc
ImportError: cannot import name Ecc
Uncle Google has no idea how to get out of it :-)
In terminal:
Code:
pip install ecc
Its used import some old version(maybe clone) ecdsa library (there are also "class Point")
Also we can use raw.githubusercontent.com/andreacorbellini/ecc/master/logs/common.py
Also we can use raw.githubusercontent.com/qubd/mini_ecdsa/master/mini_ecdsa.py
(mini_ecdsa need some fix for python3)
(and it lib have own pollard-rho! but dont try run it for secp256k1, need custom ecc with low order! example look at homepage)
Also we can use the fastest coincurve github.com/ofek/coincurve
######
Fact: origin basepoint in code is currupted.. and origin value some exotics..
Code:
if self.__curve: assert self.__curve.contains_point( x, y )
AssertionError
AssertionError
######
Its code is classic/early/not_optimized kangaroo
- not use distinguished points
- total run-time of approximately 3.28(w^(1/2)) group operations
######
Who cares, i builded 4 realease with each lib
www.sendspace.com/file/wdyg2o
here the fastest based coincurve
------------------------------------
update, add cffi, +30% speed
get X,Y using .point() is slow, cffi faster
Code:
coincurve: 30528.2 j/s
cffi+coincurve: 41165.6 j/s
cffi+coincurve: 41165.6 j/s
Code:
from cffi import FFI
ffi = FFI()
...
#x,y = Y.point()
tmp_pubkey = ffi.buffer(Y.public_key, 64)[:]
#x = bytes_to_int(tmp_pubkey[31::-1]);
y = bytes_to_int(tmp_pubkey[:31:-1]);
------------------------------------ffi = FFI()
...
#x,y = Y.point()
tmp_pubkey = ffi.buffer(Y.public_key, 64)[:]
#x = bytes_to_int(tmp_pubkey[31::-1]);
y = bytes_to_int(tmp_pubkey[:31:-1]);
Code:
#!/usr/bin/python
# [windows:python -m] pip install coincurve
from coincurve import PrivateKey as ECprvKey, PublicKey as ECpubKey
from coincurve.utils import int_to_bytes, hex_to_bytes, bytes_to_int, bytes_to_hex, int_to_bytes_padded
from cffi import FFI
ffi = FFI()
#####################
# secp256k1
A = 0
B = 7
p = 2**256-2**32-2**9-2**8-2**7-2**6-2**4-1
n = 115792089237316195423570985008687907852837564279074904382605163141518161494337
Gx = 55066263022277343669578718895168534326250603453777594175500187360389116729240
Gy = 32670510020758816978083085130507043184471273380659243275938904335757337482424
k = 15
#Gx,Gy = ECpubKey.from_valid_secret(int_to_bytes_padded(1)).point()
#####################
#
# PublicKey(data(bytes))
ecc = ECpubKey
G = ecc.from_point(Gx, Gy) # basePoint
#####################
import random
#prvkey = random.randint(1, n-1)
prvkey = random.randint(1, 2**20) # for pollard kangaroo
print('[privkey] %s (%s)' % (prvkey, hex(prvkey)))
pubkey = G.multiply(int_to_bytes(prvkey))
#####################
def f(Y):
#x,y = Y.point()
tmp_pubkey = ffi.buffer(Y.public_key, 64)[:]
#x = bytes_to_int(tmp_pubkey[31::-1]);
y = bytes_to_int(tmp_pubkey[:31:-1]);
return pow(2, (y % k))
a = prvkey - pow(2, 20)
b = prvkey + pow(2, 20)
print('a = %s' % a)
print('b = %s' % b)
print('k = %s' % k)
"""
Tame Kangaroo
xT := 0
yT := g^b
for i in 1..N:
xT := xT + f(yT)
yT := yT * g^f(yT)
"""
xT = 0
yT = G.multiply(int_to_bytes(b))
y = pubkey
N = ( f(G) + f(G.multiply(int_to_bytes(b)))) / 2 * 2
N = int(N)
for i in range(1, N):
xT += f(yT)
yT = ecc.combine_keys([yT, G.multiply(int_to_bytes(f(yT)))]);
print(" %s %s" % (xT, yT.point()))
"""
Wild Kangaroo
xW := 0
yW := y
while xW < b - a + xT:
xW := xW + f(yW)
yW := yW * g^f(yW)
if yW = yT:
return b + xT - xW
"""
print(" Setting wild kangaroo off")
def wildKangaroo(ecc, y, yT, xT, G, b, a):
xW = 0
yW = y
while xW < (b - a + xT):
xW += f(yW)
yW = ecc.combine_keys([yW, G.multiply(int_to_bytes(f(yW)))]);
if yW == yT:
print(' Catch: %s %s' % (yW.point(),yT.point()))
return b + xT - xW
print("Not found.")
A = wildKangaroo(ecc, y, yT, xT, G, b, a)
print(" b + xT - xW = %s (%s)" % (A, hex(A)) )
# [windows:python -m] pip install coincurve
from coincurve import PrivateKey as ECprvKey, PublicKey as ECpubKey
from coincurve.utils import int_to_bytes, hex_to_bytes, bytes_to_int, bytes_to_hex, int_to_bytes_padded
from cffi import FFI
ffi = FFI()
#####################
# secp256k1
A = 0
B = 7
p = 2**256-2**32-2**9-2**8-2**7-2**6-2**4-1
n = 115792089237316195423570985008687907852837564279074904382605163141518161494337
Gx = 55066263022277343669578718895168534326250603453777594175500187360389116729240
Gy = 32670510020758816978083085130507043184471273380659243275938904335757337482424
k = 15
#Gx,Gy = ECpubKey.from_valid_secret(int_to_bytes_padded(1)).point()
#####################
#
# PublicKey(data(bytes))
ecc = ECpubKey
G = ecc.from_point(Gx, Gy) # basePoint
#####################
import random
#prvkey = random.randint(1, n-1)
prvkey = random.randint(1, 2**20) # for pollard kangaroo
print('[privkey] %s (%s)' % (prvkey, hex(prvkey)))
pubkey = G.multiply(int_to_bytes(prvkey))
#####################
def f(Y):
#x,y = Y.point()
tmp_pubkey = ffi.buffer(Y.public_key, 64)[:]
#x = bytes_to_int(tmp_pubkey[31::-1]);
y = bytes_to_int(tmp_pubkey[:31:-1]);
return pow(2, (y % k))
a = prvkey - pow(2, 20)
b = prvkey + pow(2, 20)
print('a = %s' % a)
print('b = %s' % b)
print('k = %s' % k)
"""
Tame Kangaroo
xT := 0
yT := g^b
for i in 1..N:
xT := xT + f(yT)
yT := yT * g^f(yT)
"""
xT = 0
yT = G.multiply(int_to_bytes(b))
y = pubkey
N = ( f(G) + f(G.multiply(int_to_bytes(b)))) / 2 * 2
N = int(N)
for i in range(1, N):
xT += f(yT)
yT = ecc.combine_keys([yT, G.multiply(int_to_bytes(f(yT)))]);
print(" %s %s" % (xT, yT.point()))
"""
Wild Kangaroo
xW := 0
yW := y
while xW < b - a + xT:
xW := xW + f(yW)
yW := yW * g^f(yW)
if yW = yT:
return b + xT - xW
"""
print(" Setting wild kangaroo off")
def wildKangaroo(ecc, y, yT, xT, G, b, a):
xW = 0
yW = y
while xW < (b - a + xT):
xW += f(yW)
yW = ecc.combine_keys([yW, G.multiply(int_to_bytes(f(yW)))]);
if yW == yT:
print(' Catch: %s %s' % (yW.point(),yT.point()))
return b + xT - xW
print("Not found.")
A = wildKangaroo(ecc, y, yT, xT, G, b, a)
print(" b + xT - xW = %s (%s)" % (A, hex(A)) )
Interesting.. Thank you.
Yes I'm using bitcrack. RX 580 89MKey / Sec
In fact, if everyone shares the areas, it will resolve faster.
In fact, if everyone shares the areas, it will resolve faster.
try the following options and tell me if you are still getting 89Mkey/s
-b 72 -t 256 -p 1024
Exactly 89Mkey/ Sec
I'm scanning with these parameters.
which RX580 is it? and what are your mem clock and core clock settings.
I'm getting 105Mkey/sec with my not so new RX480 sapphire nitro .
rx 580 8gb - parameter
ClBitcrack.exe -b 125 -t 256 -p 2300 --keyspace 3.....
so with -b 72 -t 256 -p 1024 you will get around 100Mkey/s
to save electricity, you may underclock the core to 933 MHz with a mem clock no more than 2000MHz and still get around 95Mkey/s.
Yes I'm using bitcrack. RX 580 89MKey / Sec
In fact, if everyone shares the areas, it will resolve faster.
In fact, if everyone shares the areas, it will resolve faster.
try the following options and tell me if you are still getting 89Mkey/s
-b 72 -t 256 -p 1024
Exactly 89Mkey/ Sec
I'm scanning with these parameters.
which RX580 is it? and what are your mem clock and core clock settings.
I'm getting 105Mkey/sec with my not so new RX480 sapphire nitro .
Each interval is a different time zone. 1-3-4-5-6.. hours.
I have also scanned for 1 day.
2fast...maybe you be faster me...anyway i know range where is it but my speed is sad))
We can work together, if you want.
How are you picking the starting points? My method uses 24 random and 232 known bits. All we need to do is find the right 3 bytes. It is much like picking RGB color. Hmmm that gives me another ridiculous idea. I got this running on some old card at 44 Mkey/sec.
I can share some searched ranges, but posting them here will make a mess. Maybe i will put something together after this thing runs for a week.
A quick check shows none of my ranges overlap anything already posted here in the past few days, but some come close! Hahaha!
Are there other scanned ranges for 62-bit posted elsewhere?
How can we effectively organize and use the "done" list?
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