Based on some questions I got above or in DM:
There is a plaint text file that lists all the addresses as mentioned on eli5.eu/brainwallet: https://eli5.eu/brainwallet/btc_brainwallet_v18569.txt. Only addresses.
TA
Topic: Collection of 18.509 found and used Brainwallets (Read 31129 times)
Now, to the real reson for the post - I just noticed that after almost a year of no activity, someone has started draining a few of these addresses again. I wonder if this means some more optimized brainwallet cracker has been developed, or someone has built a cracking machine that's much faster than previous attempts.
There was a brainflayer3 program which was supposed to have been much quicker. However it seems to have disappeared from github.
I wasn't able to compile it as there were 3 or 4 differences in the make file. I fixed 3, but the last one defeated me.
If you want the code, I will send it to you.
I noticed a while back that a lot of the brainwallets in the collection were filled with exactly 20108 satoshis, with phrases ranging from single words to some random seeming passwords. The repeated amount seemed weird, and I then discovered that someone back in 2014 had filled 456 addresses with exactly 20108 satoshis each.
I suspect this is some form of challenge/canary where each address is a different brainwallet, with varying levels of complexity in the phrase. Here are the transactions I've found so far:
https://www.blockchain.com/explorer/transactions/btc/16df5eed4c8d7ff965cf9d3676c7b71d80398714727792e71b7118abe3e16b03
https://www.blockchain.com/explorer/transactions/btc/b17d08f6b945a6a9edb526f2faaef9b825eaa27c14f454bd53bb423e44750e16
https://www.blockchain.com/explorer/transactions/btc/70ff6fc9ef96c80a435a0595477708630d092285ebeca30aa899d4dd409b1b45
https://www.blockchain.com/explorer/transactions/btc/16e72e11bfefe3222e5a3876d1038e49aaec8bc7c247212f8917c94e5b6fff49
https://www.blockchain.com/explorer/transactions/btc/594a3757b99943d4789fc588167cb40fd44e57f131f3822a3c9af2930ee01f52
https://www.blockchain.com/explorer/transactions/btc/4b07f21a2d9c408af5542288554aec49ac49195cf10295f1b17aa829d701a3dc
https://www.blockchain.com/explorer/transactions/btc/b71a1a9dc95319eae181d64865b16bf34deabdee0a689176df8aba450df34081
https://www.blockchain.com/explorer/transactions/btc/280933eae25e17a7a7274c4b672880b7c488c929872394dbc6ccacf9f68fc7c3
https://www.blockchain.com/explorer/transactions/btc/34b56d4dac1d43c8a7b8f922e044424094670445b1388fb89b79a0b607a2a28f
https://www.blockchain.com/explorer/transactions/btc/151f1b9dc77e7dfd77e2f23790d5dc6f8026602553fe64ff2ec4d641e644f9a8
https://www.blockchain.com/explorer/transactions/btc/c03fa7f40dc185e29b64c4ae421544364d9600fc1e960b1e0406b5fc1efc1843
https://www.blockchain.com/explorer/transactions/btc/78b5acfa93abd3d6761806dbcc88a82d9efc070bc798edf9cf70d75a8803351c
https://www.blockchain.com/explorer/transactions/btc/06f34556aa9fa495ae31fbb8134a66997f2a9672261a0d20c39d6eaa99ae323c
https://www.blockchain.com/explorer/transactions/btc/ccfd4b7ac82ef4dd944ab6174c77cef4cd80f12c3333443dbfd30133b9e4849f
https://www.blockchain.com/explorer/transactions/btc/39142cb1fce6109333c8672b00fa53cf1d75f4d5b23aac6204aae868df56bd65
https://www.blockchain.com/explorer/transactions/btc/5160e527cca3d98bcea61b70519d4d434df9e7da8f7bef62c114ce369747ab58
Now, to the real reson for the post - I just noticed that after almost a year of no activity, someone has started draining a few of these addresses again. I wonder if this means some more optimized brainwallet cracker has been developed, or someone has built a cracking machine that's much faster than previous attempts. The curious thing is that the drained coins go to both standard and segwit addresses, so it might indicate there are multiple people working on this cracking.
And as always, if you use a standard SHA256 brainwallet, this is another indication that your coins will be taken sooner or later.
I suspect this is some form of challenge/canary where each address is a different brainwallet, with varying levels of complexity in the phrase. Here are the transactions I've found so far:
https://www.blockchain.com/explorer/transactions/btc/16df5eed4c8d7ff965cf9d3676c7b71d80398714727792e71b7118abe3e16b03
https://www.blockchain.com/explorer/transactions/btc/b17d08f6b945a6a9edb526f2faaef9b825eaa27c14f454bd53bb423e44750e16
https://www.blockchain.com/explorer/transactions/btc/70ff6fc9ef96c80a435a0595477708630d092285ebeca30aa899d4dd409b1b45
https://www.blockchain.com/explorer/transactions/btc/16e72e11bfefe3222e5a3876d1038e49aaec8bc7c247212f8917c94e5b6fff49
https://www.blockchain.com/explorer/transactions/btc/594a3757b99943d4789fc588167cb40fd44e57f131f3822a3c9af2930ee01f52
https://www.blockchain.com/explorer/transactions/btc/4b07f21a2d9c408af5542288554aec49ac49195cf10295f1b17aa829d701a3dc
https://www.blockchain.com/explorer/transactions/btc/b71a1a9dc95319eae181d64865b16bf34deabdee0a689176df8aba450df34081
https://www.blockchain.com/explorer/transactions/btc/280933eae25e17a7a7274c4b672880b7c488c929872394dbc6ccacf9f68fc7c3
https://www.blockchain.com/explorer/transactions/btc/34b56d4dac1d43c8a7b8f922e044424094670445b1388fb89b79a0b607a2a28f
https://www.blockchain.com/explorer/transactions/btc/151f1b9dc77e7dfd77e2f23790d5dc6f8026602553fe64ff2ec4d641e644f9a8
https://www.blockchain.com/explorer/transactions/btc/c03fa7f40dc185e29b64c4ae421544364d9600fc1e960b1e0406b5fc1efc1843
https://www.blockchain.com/explorer/transactions/btc/78b5acfa93abd3d6761806dbcc88a82d9efc070bc798edf9cf70d75a8803351c
https://www.blockchain.com/explorer/transactions/btc/06f34556aa9fa495ae31fbb8134a66997f2a9672261a0d20c39d6eaa99ae323c
https://www.blockchain.com/explorer/transactions/btc/ccfd4b7ac82ef4dd944ab6174c77cef4cd80f12c3333443dbfd30133b9e4849f
https://www.blockchain.com/explorer/transactions/btc/39142cb1fce6109333c8672b00fa53cf1d75f4d5b23aac6204aae868df56bd65
https://www.blockchain.com/explorer/transactions/btc/5160e527cca3d98bcea61b70519d4d434df9e7da8f7bef62c114ce369747ab58
Now, to the real reson for the post - I just noticed that after almost a year of no activity, someone has started draining a few of these addresses again. I wonder if this means some more optimized brainwallet cracker has been developed, or someone has built a cracking machine that's much faster than previous attempts. The curious thing is that the drained coins go to both standard and segwit addresses, so it might indicate there are multiple people working on this cracking.
And as always, if you use a standard SHA256 brainwallet, this is another indication that your coins will be taken sooner or later.
So far I've seen only those online lists of brainwallets. I wonder if there are others available?
Most of you probably know this science paper "The Bitcoin Brain Drain: Examining the Use and Abuse of Bitcoin Brain Wallets" (Marie Vasek, Joseph Bonneau, R. Castellucci, C. Keith, T. Moore). It is available from this link: https://tylermoore.utulsa.edu/fc16.pdf
Authors do not reveal brainwallets in clear text. However, I've found this resource that contains files that are attachments to this paper: https://dataverse.harvard.edu/dataset.xhtml;jsessionid=3b3325c3157850e2d961cf61dfb1?persistentId=doi%3A10.7910%2FDVN%2FRZHL3X&version=&q=&fileTypeGroupFacet=&fileAccess=Public&fileSortField=type
The most interesting files are probably: brainmaster.tab and attacksrc.tab files. They contain a list of more than 19k addresses identified to be protected with a brainwallet (again, no brainwallets in clear text, just information about the length of string). There are still many addresses in Vasek's list that you will not find on the websites mentioned in the beginning.
Some people that participated in this topic have their own lists of brainwallets. I wonder if there is anyone who cracked all addresses from Vasek's list? Probably not. Then, how many of them remain a mystery to you, still?
Are there other lists like this from Vasek? I mean, just addresses without brainwallets revealed?
Has anyone parsed the list of brain phrases from these lists? maybe just a text file? so that I don’t have to do stupid work a second time. I just need a list of words-address. Without xxx. thank you very much in advance - http://eli5.eu/brainwallet/
- https://privatekeys.pw/brainwallet/bitcoin/1
- https://privatekeyfinder.io/brainwallet/bitcoin/
Most of you probably know this science paper "The Bitcoin Brain Drain: Examining the Use and Abuse of Bitcoin Brain Wallets" (Marie Vasek, Joseph Bonneau, R. Castellucci, C. Keith, T. Moore). It is available from this link: https://tylermoore.utulsa.edu/fc16.pdf
Authors do not reveal brainwallets in clear text. However, I've found this resource that contains files that are attachments to this paper: https://dataverse.harvard.edu/dataset.xhtml;jsessionid=3b3325c3157850e2d961cf61dfb1?persistentId=doi%3A10.7910%2FDVN%2FRZHL3X&version=&q=&fileTypeGroupFacet=&fileAccess=Public&fileSortField=type
The most interesting files are probably: brainmaster.tab and attacksrc.tab files. They contain a list of more than 19k addresses identified to be protected with a brainwallet (again, no brainwallets in clear text, just information about the length of string). There are still many addresses in Vasek's list that you will not find on the websites mentioned in the beginning.
Some people that participated in this topic have their own lists of brainwallets. I wonder if there is anyone who cracked all addresses from Vasek's list? Probably not. Then, how many of them remain a mystery to you, still?
Are there other lists like this from Vasek? I mean, just addresses without brainwallets revealed?
If someone could share 139 characters long passphrase to 1BQmbdHdtdJnGbhNLgnr5w5pKJ4aFghdLp...
https://i.kym-cdn.com/entries/icons/original/000/011/976/That_Would_Be_Great_meme.jpg
Vasek and team have found it on Reddit
https://i.kym-cdn.com/entries/icons/original/000/011/976/That_Would_Be_Great_meme.jpg
Vasek and team have found it on Reddit
Here's the majority of your remaining list. Still got 77 missing. To make it more interesting I've masked the first 3 characters of each password:
https://zerobin.net/?25d328abfbe6601d#xmClTcLN8qitoLRO5862qS9Q1fB3NfOrNGU+z9Z+Dj4=
I also see you don't have 145Sph2eiNGp5WVAkdJKg9Z2PMhTGSS9iT on your remaining list. Did someone ever find out what the private key was? I know it's been used as a brainwallet string, maybe you did a mistake and filtered it out because of that.
Thanks a million! This is useful!https://zerobin.net/?25d328abfbe6601d#xmClTcLN8qitoLRO5862qS9Q1fB3NfOrNGU+z9Z+Dj4=
I also see you don't have 145Sph2eiNGp5WVAkdJKg9Z2PMhTGSS9iT on your remaining list. Did someone ever find out what the private key was? I know it's been used as a brainwallet string, maybe you did a mistake and filtered it out because of that.
P.S. brainwallet for 145Sph2eiNGp5WVAkdJKg9Z2PMhTGSS9iT is "XXXX was here."
Here's the majority of your remaining list. Still got 77 missing. To make it more interesting I've masked the first 3 characters of each password:
https://zerobin.net/?25d328abfbe6601d#xmClTcLN8qitoLRO5862qS9Q1fB3NfOrNGU+z9Z+Dj4=
I also see you don't have 145Sph2eiNGp5WVAkdJKg9Z2PMhTGSS9iT on your remaining list. Did someone ever find out what the private key was? I know it's been used as a brainwallet string, maybe you did a mistake and filtered it out because of that.
https://zerobin.net/?25d328abfbe6601d#xmClTcLN8qitoLRO5862qS9Q1fB3NfOrNGU+z9Z+Dj4=
I also see you don't have 145Sph2eiNGp5WVAkdJKg9Z2PMhTGSS9iT on your remaining list. Did someone ever find out what the private key was? I know it's been used as a brainwallet string, maybe you did a mistake and filtered it out because of that.
Hi,
As been discussed many times before using a Brainwallet is a bad idea. I ran some test myself and found 18.509 BTC-addresses based on a brainwallet which also has been used in the blockchain before.
I tried to compare my results with the results of other researchers but could not find any lists online at all. I found some examples but not a comprehensive list. So I published my own results over here: https://eli5.eu/brainwallet
Please note: all published addresses have a balance of 0 so this is not a list for robbers
. There are also a lot of extra datasets I haven't used this far so I expect the numbers to go up once I use them as well (I'm in the middle of perfecting my own tooling and blockchain parser so this will take some more time first).
I love to get some feedback and if you have results to share which I missed in this round I'm more than happy to hear from you and include them.
TA
I wonder if OP has new content to update his website? As been discussed many times before using a Brainwallet is a bad idea. I ran some test myself and found 18.509 BTC-addresses based on a brainwallet which also has been used in the blockchain before.
I tried to compare my results with the results of other researchers but could not find any lists online at all. I found some examples but not a comprehensive list. So I published my own results over here: https://eli5.eu/brainwallet
Please note: all published addresses have a balance of 0 so this is not a list for robbers
. There are also a lot of extra datasets I haven't used this far so I expect the numbers to go up once I use them as well (I'm in the middle of perfecting my own tooling and blockchain parser so this will take some more time first).I love to get some feedback and if you have results to share which I missed in this round I'm more than happy to hear from you and include them.
TA
or maybe almightyruler?
This brain wallet hasn't been used for several years, but even back in 2013 it held a substantial amount of funds (USD $6k+), protected by a weak passphrase:
https://www.blockchain.com/btc/address/16jLdtAxgXVwcG93MyPcNALXMCv3D6dyDB
The passphrase is "arretonprimaryschool"
https://www.blockchain.com/btc/address/16jLdtAxgXVwcG93MyPcNALXMCv3D6dyDB
The passphrase is "arretonprimaryschool"
Probably. But they have no incentive to share the private keys, they're just quietly waiting for a deposit to be the first one to snatch it.
If revealing private keys is too much to ask for, revealing just cracked addresses would be great 
So, I was wondering if there is anyone that cracked all or most of the remaining 611 addresses (list below).
Probably. But they have no incentive to share the private keys, they're just quietly waiting for a deposit to be the first one to snatch it. That's easy to check: get all Bitcoin addresses with a balance and find the duplicates. There's only one:
15Mjbr23k7LfadNVAMmFZwdzcL5VFHe9gC.
There's 0.001 BTC in there since 2014.
Thanks, I know that, but I was not thinking about balances - just about brainwallets (phrases used to generate BTC addresses). Maybe let's use numbers to illustrate this.15Mjbr23k7LfadNVAMmFZwdzcL5VFHe9gC.
There's 0.001 BTC in there since 2014.
Vasek list - 19430 addresses (contains addresses created between 2011 and January 2017)
Eli5 list - 18982 addresses (last time I've scrapped the website)
If you compare them there are:
- 18741 addresses common to both lists
- 689 addresses that are unknown to Eli5
Privatekeys.pw made progress in revealing the brainwallets, but still there are 611 addresses with brainwallet unknown.
So, I was wondering if there is anyone that cracked all or most of the remaining 611 addresses (list below).
Code:
address,compressed,pwdlength,endbalance,numdrains,firstTTD,totalamt,firstseen
1ze4KR7bTDnTQmsuGP7HSNxj5gfUBo11u, u, 6, 0, 1, 35741, 20108, 2014-08-17T14:31:18Z
1zSeCcg9cteDyNDknAZ6dnQ4diwxGiuPX, u, 22, 0, 1, 61334, 5000000, 2013-04-09T23:54:22Z
1z9SGFcpQLTnFjhfXY5yUhWgyBKQgLUNa, u, 5, 0, 2, 74228, 30108, 2014-08-17T14:31:18Z
1vVBEPttpHeprmYDTiJFooQ9AxF2w6AKn, u, 10, 0, 1, 54174, 190000, 2015-07-22T01:13:34Z
1gpKFHeP8RBL52MPABfmwvBYh9kEJURq9, u, 22, 0, 1, 80360, 2010000, 2014-08-29T21:20:01Z
1gCzekZetCwPSibmUKbfbmLoYJKs1ZqY6, u, 10, 0, 1, 67643, 4790000, 2015-07-21T22:00:33Z
1e5ZK5VjGRcabJUmcGoySVt5v8S53XZaM, u, 19, 0, 1, 45185, 50000, 2014-01-07T04:30:08Z
1e2TbZ5c8P7Q9YrUDAahRvgoxd8SQoua5, u, 10, 0, 1, 25877, 9390000, 2015-07-21T23:25:04Z
1dH46VDMCHT1HmBZVBofFgPW9nJWwwnrF, u, 11, 0, 1, 35674, 2186000, 2015-07-22T20:41:47Z
1WAkoExs25n4gnE8YoZKf7baA6HhG3NwB, u, 95, 0, 1, 26934, 60000, 2014-07-11T15:13:58Z
1QfYv9jjJsQJNMk7B3mv8ynADJoz1WCmd, u, 22, 0, 4, 57254, 185850, 2014-08-28T18:13:22Z
1QEYk6DLRouwgKPGn915RTPevUuk9VvGji, c, 9, 0, 1, 81409, 20000, 2016-01-19T05:03:07Z
1QCqZDr7odxL1pQ2wjAMydGVZUcSv8Kjmr, c, 28, 0, 1, 42797, 10000, 2013-12-24T10:13:15Z
1QAKKmjH7S9ko7txkVFwUSV52ydTDrK8FX, u, 13, 0, 1, 84779, 390000, 2016-05-12T06:19:57Z
1Q8Vuuqu8Vt4ozij9fjeckKdz8Nb35dCHu, u, 28, 0, 1, 24591, 1000000, 2015-04-01T03:35:27Z
1Q7eEfUSeFL1KEYaj6o1j7R5xe39p2Wqg7, u, 12, 0, 1, 65072, 20108, 2014-08-17T14:31:18Z
1Q5j3vo1ddVSHYsvo5feFHLbG7cqGYi6Z3, u, 10, 0, 1, 637, 200000, 2015-07-20T21:34:11Z
1Q57STy6daELZqToY4Rs2BKWxau2kzwjdy, c, 22, 0, 1, 68130, 5500, 2015-12-05T02:13:28Z
1Q3gVCdcgmU2jMjfHCcFXrTPB33YFCQm4, u, 10, 0, 1, 79706, 20108, 2014-08-17T14:31:07Z
1Puo8uHFTswmhFcsvS9ZVRgD8EyEMtvLog, c, 17, 73200, NA, NA, 73200, 2015-05-02T19:25:50Z
1Pt7EUZWuq8ThHvZr23Vvk4paRvwjL7MXV, u, 8, 0, 1, 1351, 1989000, 2015-07-23T23:20:57Z
1PsenWrxazHNrEC9pR7JESb37aogZZFWUW, u, 75, 0, 1, 71415, 1506475000, 2014-03-07T10:07:07Z
1PpPgTEWeDyCE715E3qhaUxQqCPFpa5PvF, u, 7, 0, 2, 2, 615000000, 2013-11-21T12:08:26Z
1PknmE3gJf57fYLUuaqGxGeBH3rPrwepXy, c, 12, 0, 1, 9252, 4590, 2013-12-03T10:08:44Z
1PigrEyV6P9wJU5jN5t3HmDAfYRQ9b6V5h, u, 13, 0, 1, 85363, 400000, 2016-05-12T06:10:13Z
1Phc4KcgPqTKzMpKWvTpkb1mK6cBJ8hFGS, u, 17, 0, 1, 54428, 10000, 2016-05-15T08:47:53Z
1PgjntmJKKAeSLoZdvebQxk5tg5wp9EPsu, u, 10, 0, 1, 932, 1969010, 2015-07-20T18:44:40Z
1PgiBmZyVVFLkXN1p1qJgTPbRnJ58JjsxW, u, 10, 0, 1, 4034, 185406, 2015-07-20T21:51:40Z
1PehbK7RHgyMjEPJxr6MjDubRBRfr6UtBp, u, 24, 500, NA, NA, 500, 2013-08-15T11:11:27Z
1Pea2cN9ETQzVKGY9zrm3JJtbbxrzjAn3L, u, 41, 0, 1, 79951, 100000, 2013-11-20T06:00:06Z
1Pe4PZrEjhjBMF7BdaNn5PvWZTTEh35Q9P, u, 47, 0, 2, 7356, 11950000, 2011-07-15T00:19:40Z
1PdaTMsrPVJ8M1WCoVWmXw7j5MzJFdbPcc, u, 41, 0, 3, 55601, 716531, 2014-09-15T12:10:26Z
1Pc4hiNs1zx1NJ7NSgKNpiqQdBQ8tpwSAM, u, 13, 0, 8, 18784, 136504133, 2015-10-11T21:49:20Z
1PbPADn4oszGo5ZAFNuimMyQ1gQ4gHA6qN, u, 10, 0, 1, 60480, 9690000, 2015-07-22T01:08:33Z
1PVATnQLLDTeNh7RZVfLkdgMEzWLspZavF, u, 31, 0, 1, 14003, 336768, 2014-06-27T21:19:50Z
1PSQXM2wipQG88pFzrRUXGmWzMDYBXnmaT, c, 5, 0, 1, 29, 100000, 2016-08-15T07:55:01Z
1PS9qj4bqRMS5i4MKUKfJHnPXzwuPBWcJD, u, 39, 0, 1, 37995, 1, 2012-08-18T17:39:22Z
1PRPqwUEA8ptwT12V491ZAwjmSirDbhoEL, u, 42, 0, 1, 23897, 5032000, 2012-09-14T00:26:17Z
1PLtos6AUED1yZrbqtmZB3BNZgTDJnYAEy, u, 10, 20108, NA, NA, 20108, 2014-08-17T14:31:07Z
1PJaLg5MG8BDWNA9VejT8juJURtyDMGeze, u, 10, 0, 1, 2367, 20108, 2014-08-17T14:31:07Z
1PGyZEiaorx5wRqaPBHDjy4moLVBAL8KD4, u, 22, 0, 2, 56945, 2020000, 2014-08-29T21:19:14Z
1PEHyyENNxTQDYuSC7kJuAtEAmzjr8zW8z, u, 21, 0, 1, 8113, 100000, 2013-02-09T15:58:30Z
1PEGGsACb6dCZ2icK9dTaLzkJR1RrPVGLA, u, 10, 0, 1, 2844, 10000000, 2015-07-22T00:50:40Z
1PE8j52i5hfBKyzh21URcDMAV5JG2R4vSg, u, 11, 0, 1, 78838, 9690000, 2015-07-22T01:53:18Z
1PBpnTGY2foFbGFAbb5LwDnCtrAYpKo2n4, u, 10, 0, 1, 765, 10000000, 2015-07-21T20:00:37Z
1PB77j229w4b5kLNUY91JTHQYWd2htqjrx, u, 37, 0, 1, 37950, 1, 2012-08-18T17:40:07Z
1PAMJAyqYQisRBzQgLieoCrm1mj7bvvgEw, u, 9, 0, 2, 81272, 20109, 2014-08-17T14:30:37Z
1P7qLxzmBGxF68iVBXP5GeskJqdonKsU1R, u, 10, 0, 1, 1776, 290000, 2015-07-21T21:38:49Z
1P77Cb3YsLyqSX6GGCiHcCEuCsXM2jZ3ou, u, 10, 0, 1, 632, 190000, 2015-07-20T21:51:39Z
1NzvNBqeqKbu6BzmEgBSPLPXUoByDNXru3, u, 10, 0, 1, 2060, 193166, 2015-07-20T22:40:41Z
1Nx6jvBVmPExLY61EGqYD9nQnwULzLvAmd, u, 53, 0, 1, 629, 20000, 2014-05-02T15:21:56Z
1NuDrHrDZtF2Aw1L46zJkG1rT5JpEGgFX6, u, 12, 0, 1, 68236, 100000, 2013-03-10T03:41:17Z
1Nkk3r5JwMdZZkhCqCN9fJfhUAJKZYoLu7, u, 5, 0, 1, 4, 1000000, 2015-07-09T14:21:46Z
1NiEUdfZmhHrMXcR5go3zotYwv6ub52RbW, u, 13, 0, 1, 85363, 400000, 2016-05-12T06:10:13Z
1NfnxAE8tWr1HWZAdg3bnEwRHTJamF3Fuz, u, 7, 0, 1, 14238, 10000, 2014-12-06T11:05:40Z
1NejMeJVZtG6giqDRbE9hdvyBuB7jfnWzA, u, 26, 0, 1, 65319, 891310, 2013-12-13T17:31:58Z
1NegGyAxccFHsdK7T4qvoZNg9w2MGNSBN6, u, 9, 0, 1, 17927, 100000, 2011-12-15T16:25:04Z
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1H17CEd7VMcecuKKr6G1brJxUBHsnkzTz5, u, 11, 0, 1, 624, 2000000, 2015-07-23T18:53:14Z
1GzHsdbrHWpNM2HrTt4DxbK56sVjPh8MVE, c, 16, 0, 1, 77339, 1000000, 2015-02-22T08:01:16Z
1Gz93s2D3HByxnxYmkmwoCPBubTchs2vhh, u, 19, 0, 2, 75879, 100263600, 2013-11-17T00:58:05Z
1GyYqfnLmwgwG6Jgs1rPkJgXEfKtAqpUiy, u, 21, 0, 3, 86384, 168533479, 2013-06-07T23:31:19Z
1Gy6sh3UmrvBa4Lr88BZ32Yjp6hp95rR5c, u, 12, 0, 1, 1, 100000, 2014-03-28T22:30:29Z
1GxqFVK3kf8rmPstB7s9XhRZfAixtUtAsi, u, 22, 0, 2, 62220, 2080860, 2014-08-29T21:20:14Z
1Gwv4wtDquGD6NNEGsaidap5phoPpfFk7f, u, 68, 0, 1, 46095, 700000, 2013-04-07T13:07:14Z
1GvZg1zvazo8HxMjrq6u2TVD95enZgRM8k, u, 8, 0, 1, 13618, 1000000, 2013-09-22T20:59:31Z
1GtmSDHzH7w15FqLzJkVxDRRqxVJxSWdqb, u, 15, 0, 1, 50952, 100000, 2013-07-29T23:30:02Z
1GrxmRs7ifjbhhphkKkSfVhpQzXwNCgRUZ, u, 12, 0, 1, 2, 100000, 2014-03-28T22:31:50Z
1Grma72MXyUxz2c1evjHinYCQD2Qgif7pX, u, 30, 0, 1, 6, 2000000, 2013-10-24T11:28:15Z
1GrLsCJKVCQade5wisMogv3xmBnE7BYNXB, u, 8, 0, 2, 33676, 2010000, 2015-07-23T22:52:31Z
1GmVxLrqqZqq6sfYNaVsxvJLv7CmZwXy8c, u, 11, 0, 1, 50483, 100000, 2013-07-29T23:30:02Z
1GiAEHndocLiH7wL1UKtN76ZNXKnvoh9PS, u, 84, 0, 1, 70877, 200000, 2013-10-13T02:01:32Z
1Gi7Bg2gGLeSPGdYjsEpYSB2AjL8k2XC1s, u, 8, 0, 1, 36607, 10000, 2015-04-14T17:17:42Z
1GgiAqyeRjAe5EEGx41LtVuc4VqjFQ77rq, u, 16, 20000, NA, NA, 20000, 2015-08-12T02:15:13Z
1GdwprmG3EGeo2ErjNWQfVbNLb4uYWB8eG, u, 11, 0, 1, 79961, 19570000, 2015-07-22T01:35:17Z
1GZsNh1a1yKgPNAQJc2wthBWmgaRC6zNVP, u, 24, 0, 1, 69516, 100000, 2014-04-07T13:49:36Z
1GZKgxGY8fk9TyN9S2quTBky93iSNarP7d, u, 9, 0, 5, 738, 160000, 2014-07-30T20:06:41Z
1GYswURYzCQs7ZUaPyz5BVVHgdPxGQ6ojn, c, 7, 0, 2, 11362, 186312, 2015-04-26T11:12:36Z
1GWUFUfB1XaJC9ESSwQFyPjs73AmT6PzE2, u, 8, 0, 1, 37494, 100000, 2013-07-29T23:30:02Z
1GLkKJAMoxRedrnBvLSyhkUb1wcgDRbSYE, u, 44, 0, 3, 0, 1116969, 2014-02-08T12:28:44Z
1GKPC5JmKnU6bUPRNmjXoZdkSTuqWqVREU, u, 28, 0, 1, 1, 100000, 2014-03-21T16:48:29Z
1GHaxh9sFY7UTaw5PL8XjNv3kHy1JuKMDF, u, 111, 0, 1, 24135, 1000, 2015-07-29T10:31:22Z
1GHShAru3CyySYHwNyf7eah53Yt4ncEgxK, u, 21, 0, 29, 121, 3868927383, 2015-09-14T04:22:52Z
1GFmed9rDYZ2LKK2mn4fquzi4kb2VhzWaz, u, 10, 0, 1, 15687, 2660542, 2014-06-07T14:17:43Z
1GDwKjdqJQUvwgBocwyPK1e81jhKDDszCt, c, 8, 0, 1, 74207, 30000, 2016-01-19T05:06:13Z
1GD5Shu7SsCuRvvrms3UgUQ3HmZaSTJBZG, u, 11, 0, 1, 13016, 180000, 2015-07-22T15:57:29Z
1GAwtJ9m7YizJ6ckDUycqXYE95eRXYJciV, u, 8, 0, 1, 6, 500000, 2013-12-11T09:58:46Z
1G9fRsZA4RYbgFahTsG8DtuSmxLSikNyg1, u, 10, 0, 1, 7496, 990000, 2015-07-21T18:19:03Z
1G9Cmynb3vk5B7gsbcjNW2heXa33VSPWWq, u, 16, 0, 1, 71765, 336900, 2015-07-27T21:34:47Z
1G3eNbZYY2UpkyY7t55Xfais1qXcgB9RmK, u, 19, 0, 12, 0, 7999305, 2013-10-19T14:58:34Z
1FzkWL7by7bKfRNXz2stvmn7o9yRjVKbF5, u, 11, 0, 2, 83491, 43240, 2016-02-14T16:45:13Z
1FwNakeXx2VJxLfViE6A9PVB3YyPhRBtmm, u, 10, 0, 1, 2844, 10000000, 2015-07-22T00:50:40Z
1FqFarxVJMcDtCU8KA3L7y7oMYevhTyb9F, u, 11, 0, 1, 2079, 200000, 2015-07-23T15:01:55Z
1FpiEm417BUMx9W6xYuwiXBpfeiwQ1wptb, u, 20, 0, 1, 4, 23350000, 2013-07-28T19:45:23Z
1FmGqfCLdzeRtFCUBm5XqirU3pzD3Q1oGC, u, 30, 0, 67, 3, 2126232926, 2014-10-10T14:35:57Z
1Fk23o2qVJNkppvqdjDVATeJBdRckbSj2Q, u, 8, 0, 1, 54052, 3360, 2013-05-04T13:02:51Z
1FjahFb9GvRNqHqn8kaoU5cSaiexUDRuK3, u, 22, 0, 1, 11990, 9661, 2013-11-15T20:35:11Z
1FhrECZgPmgiRLvkJQwhAjq3PRqe1sz71j, u, 13, 0, 1, 84664, 390000, 2016-05-12T06:21:52Z
1FhBpjtwdFt3bXFHTjjdWSttue4JS4pDZZ, u, 21, 0, 1, 43359, 430000, 2015-09-19T16:22:28Z
1FgtUixG15h9zX4j25X2cXQ5Q4KAkYUkkG, u, 10, 0, 1, 7007, 4990000, 2015-07-21T21:58:17Z
1Fe2p3ntSScKWY3VkNz5trWhXaupp7YZC7, u, 36, 0, 1, 12, 7800000, 2013-11-30T09:29:45Z
1FbGdoE6L3y2V8kWjmcNMYkx2fmHvXiz1K, u, 8, 0, 1, 3534, 1000, 2014-09-07T08:11:10Z
1FYnHspfmgDkdouDYvUhsRdMiJypQQ3rvW, u, 10, 0, 1, 3815, 1000000, 2013-04-08T13:55:51Z
1FWxRCwBciPoLH8Qu1nkxxV133kPY1yoHZ, u, 11, 0, 1, 58066, 38000, 2016-02-28T16:51:25Z
1FRjohKmsLji3rKd9Eis1RuWuj3KSJ8ken, u, 12, 0, 1, 34, 400000, 2016-05-12T06:04:41Z
1FPHpgE3mrB1enPHFpzqm1gY32WZh5mPbV, u, 16, 0, 1, 41217, 191144396, 2012-02-24T18:11:14Z
1FJX8dk1UMKm8Krkmq1RNwg4sBeXdQaDFj, u, 8, 0, 1, 48715, 20108, 2014-08-17T14:08:42Z
1FHULjCPb15WSE942HMkQhv4GdHaQ1AX9v, c, 29, 0, 3, 0, 50000, 2014-09-23T19:20:53Z
1FDJaAX2gRApoKo1cyfopee5Nh5mMR6yjm, u, 23, 0, 1, 29633, 15000, 2015-01-03T01:04:43Z
1F8ATJpwLfXZi4Ke5MFBH92R7UFNHiWfgB, u, 130, 0, 1, 18027, 1200000, 2012-12-15T23:06:07Z
1F5MHqYZm3vhYWJaKuoyDJ3v7JkJr7sC6a, c, 58, 0, 1, 37545, 482000, 2015-08-28T06:40:39Z
1F2K2bhfpRkLMtsNtpgKQToid23AZyvRZx, u, 11, 0, 1, 55166, 10000, 2015-07-23T17:50:38Z
1Ez18hZhq2P2ce9DCrHVqcbYMrTu3wi7ru, u, 11, 0, 1, 977, 15000, 2015-07-23T16:32:18Z
1EyJMd5BUBW3EqSUhUEBVywpEiecaGmGQs, u, 11, 0, 1, 61631, 20108, 2014-08-17T14:08:42Z
1EwrbpnHQZGrGwS3dMmcXhZcoF5juPKhdb, u, 10, 0, 1, 3712, 10000000, 2015-07-22T00:50:40Z
1EukaBty79YUNBdQbfCXX4Vq4Yem5H6k86, u, 26, 0, 1, 8036, 15000000, 2013-10-12T01:43:40Z
1EugGjko4dfEy9CX337wMBVkQ4mNZk45nF, u, 11, 0, 1, 33896, 76931227, 2013-04-11T12:38:58Z
1EtiEGBTp4kcTRA85oKzqakZJJ4sJMsrdz, u, 58, 0, 1, 9603, 100, 2015-07-31T22:50:22Z
1EqXwSZWqXMyDehLEvesqhiyBmJvDT21eH, u, 7, 20108, NA, NA, 20108, 2014-08-17T14:07:46Z
1EnAHWCeiX6guzXQcV8TCFKzQKx3nib8eA, u, 10, 0, 1, 24263, 7676, 2012-02-22T00:25:58Z
1EmUi8vm6xnKAEW2btFvx9w4XtbpaT2bLg, u, 11, 0, 1, 78508, 9690000, 2015-07-22T01:58:33Z
1EhgFEgRJuJrLJCNqgKmgjPuqwRAs73PXs, c, 16, 0, 1, 1989, 200000, 2014-05-16T00:49:03Z
1Eh45j1F7ZukynHYSnDX5kfjDkXohPN877, c, 6, 0, 1, 7619, 1000000, 2015-07-09T14:21:46Z
1EdqCmCxFLWP8kXhszdfvSSHUEzuA6ujcp, c, 7, 0, 1, 1770, 668012, 2015-03-23T09:38:53Z
1Ecrxej9XDm3T9VNDznm1Gwp64Vc9HbZgK, u, 10, 0, 1, 52653, 60000, 2014-07-11T16:30:03Z
1EZ1hHrhj89PwEkhaZ4ML1a5Mwmyrmeb9V, u, 11, 0, 1, 66484, 20108, 2014-08-17T14:07:46Z
1EXaMGL3B7Z2oGq4NDCd2ep1cEb6zgp3jg, u, 10, 0, 1, 7524, 10000000, 2015-07-21T22:22:32Z
1EWPHuSpyuvvfQ1ubgLXQnKZdFRDTaYDsg, u, 10, 0, 1, 770, 1000000, 2015-07-21T11:54:11Z
1ESdJgu3ov5Z1XUv1WdFFPogv9crQKGbec, u, 28, 0, 2, 5973, 9950000, 2012-10-09T10:15:56Z
1ERocRf5QJoGf1MxoEx8UG89k5ciJEe9mU, u, 9, 0, 1, 50483, 100000, 2013-07-29T23:30:02Z
1EQjYKmHYYJWHTv7LLhSr2zhFWt91RrkEZ, c, 10, 0, 1, 1, 100000, 2014-04-28T23:39:03Z
1EQdgCrBjhFPrd4VdeFp338A7YqY4qEVXw, u, 64, 0, 1, 3812, 81466, 2016-09-07T06:51:18Z
1ENBzDo58FdipPDqFk2EMi7VwMVmgG1ckD, u, 29, 0, 1, 19452, 1, 2012-08-18T18:17:14Z
1EFZR2WiC2X1gcjE6goBkjLCZh4Ahi5EyD, u, 5, 0, 1, 54793, 10000, 2015-01-27T00:01:31Z
1EEbuedhWRULsv8tkvXQBFdxjRUFbr3kVU, u, 10, 0, 1, 7664, 3384000, 2015-07-21T16:26:18Z
1EB3nq3YTqzQ8TFTqZS7ge3iWPmu3EzNkS, u, 10, 0, 1, 25797, 9790000, 2015-07-21T22:31:17Z
1EAi4ViQVVSn4jaa3PKMcJX2HxNspMpu9Y, u, 13, 0, 1, 84331, 390000, 2016-05-12T06:27:25Z
1EA6hPvU5wBi2VfUPVb7TYw1bPehTNr22Y, u, 11, 0, 1, 1528, 50000, 2015-07-23T18:17:50Z
1E9FnGzCrqKKtfzQyRyjTHTYMFXnwU5LKP, u, 8, 0, 1, 55616, 30000, 2015-12-20T15:53:54Z
1E5nZAR8HAkdtgXxKYGVxgPLL4XQpdYPvh, u, 8, 20108, NA, NA, 20108, 2014-08-17T14:07:46Z
1E3QtSv491Ku8EH3jN3hBErzQnm3YpSoPv, c, 9, 0, 1, 13905, 30000, 2014-07-25T22:44:18Z
1DzZ9NZfdvWqh1a1qcHCspq2nPTAC4sfuQ, c, 37, 0, 1, 54082, 188000, 2015-08-28T06:40:39Z
1DxYbxRXsZwVfkaoHW1LGVvwZFbftKumGr, u, 6, 0, 1, 16419, 10000, 2015-02-12T12:21:43Z
1DvCCsSegRdr3VBKuB5YEo1Ry4xRMxpT3h, u, 12, 0, 1, 0, 400000, 2016-05-12T06:06:29Z
1DrQmoSNYs973HpfmARFXWfvMUdqf1bqaq, u, 10, 0, 2, 18778, 2378410, 2015-07-21T20:37:17Z
1Dq6Q9SHh5sm5DQuDcEfDJdc5sQgcRQoJW, u, 17, 0, 1, 51, 15250, 2016-08-06T04:55:54Z
1DowDxPJYc8m7i6gpQjXyPgZr9zbN4fywN, u, 124, 0, 1, 44009, 1, 2012-08-18T17:29:00Z
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1Dk8G3aDiBxXr3Hq89zScVqE7edK2nWfML, u, 13, 0, 1, 84779, 390000, 2016-05-12T06:19:57Z
1Dg3WRy9HizDWXj5ShKVxpRQiHi9g7kCcY, u, 33, 0, 1, 4935, 1952266388, 2013-12-01T22:00:55Z
1DeLtoi8Qvg8AgqkVC4645cqdekjeTqYhT, u, 6, 0, 2, 0, 45000, 2016-07-21T00:00:15Z
1DeL3QBq8SCrPbexxV99PnArxXNubsYyDi, u, 8, 0, 6, 48311, 28054000, 2015-06-30T16:02:46Z
1DdWb3WtHckqJkqwtRWgMdJ9CXNUA1gJkR, u, 12, 0, 1, 3316, 529661, 2013-11-15T19:39:55Z
1DZN7sRq7EdSt6XiYEyMgsC68TASQwi4Tq, u, 6, 0, 1, 77003, 20108, 2014-08-17T14:07:23Z
1DVmfiqkgHDvTUULfeWuJ7YzwTJDQJT6K2, u, 9, 0, 1, 49453, 5500, 2015-08-23T05:45:25Z
1DRs3YDAwoXSTi4FQN89aoy17aQ7i5Cqo3, u, 20, 0, 2, 63026, 2225850000, 2012-04-23T13:56:53Z
1DP8Qcw9r8LEYkcYwXgsvDpu5WLqJEdTfS, u, 70, 0, 1, 81996, 100010000, 2013-12-21T21:06:09Z
1DLAmCeBUVc9XPHhmpPp4JHGZQ4YF92TAK, u, 16, 0, 1, 74094, 100000, 2015-02-22T08:04:19Z
1DKQnoctNNucyEPK4m6gX7XJSPkAZB1LTi, u, 10, 0, 1, 6718, 10000000, 2015-07-21T22:22:32Z
1DGZMZQUhdsKiMgMLPb79EcgXarETBC3K4, u, 9, 0, 1, 4003, 180000, 2015-07-20T15:32:21Z
1DGXWdb6FREuCLUKf3FMcYKZX4XCZ4jU2J, u, 35, 0, 3, 8854, 88350000, 2011-10-12T19:14:29Z
1DEyq5vzyXNaQQVxAKLGrSUCDvHx9yTuVZ, u, 10, 0, 1, 1085, 1000000, 2015-07-20T18:14:31Z
1DEjgPZRZyHK6i5rn4hoi7tP5GiKsfbJ5X, u, 88, 0, 1, 70886, 200000, 2013-10-13T02:00:31Z
1DBGg9Nc3xgNxU8Tk5bsbSjKt55u1eq5Qv, u, 44, 0, 1, 2696, 1926526, 2013-03-30T13:53:23Z
1D8y12q87wfrVWK7WyVsqHTRJPt3NFVx35, u, 574, 0, 1, 54275, 100000, 2016-06-22T07:37:38Z
1D7W1MpRP3vEHiQuBmJnXZ31U5yVXewgmn, u, 57, 0, 1, 68062, 546, 2016-07-26T13:06:16Z
1CrBqjcfCqGneTW37hY8ieT2THwe6Ympew, c, 16, 0, 1, 9252, 4590, 2013-12-03T10:08:44Z
1CoyTMT4gxv2iJ2tLRsMZL3tf1FcAmtYZ3, u, 28, 0, 1, 16074, 6844, 2015-07-29T17:53:51Z
1CmwjJZvzGkgW8PofoFqn62QbxbWGgkHQL, u, 288, 0, 1, 11634, 5500, 2015-07-30T05:51:38Z
1CkY4S9bu4Ka8Kd6XH7tumPPFA8dbFwW3N, u, 10, 0, 1, 11928, 1000000, 2015-07-21T14:45:13Z
1Ciuor84QnzC52FSP5tGBLGCjSL96GVbw1, u, 14, 0, 1, 8162, 776, 2015-07-19T02:23:11Z
1Cibw3Wt3P3bV2dLZ1diA1tEBS9CGagLpc, c, 44, 0, 10, 0, 554840, 2014-05-05T15:54:47Z
1CiS1eV1cZdPgLeEV5nQLJrCDCU8LpMKwC, u, 22, 0, 4, 4765, 209560, 2014-09-13T15:12:49Z
1CcdoStu9NstpZUEPyJ3kTyhphrXvWEYSQ, u, 6, 0, 1, 2, 30000, 2014-09-17T04:55:58Z
1CaMS8Abhp2SkAx5NVC2biPwq1cd65quSk, u, 9, 0, 1, 4114, 200000, 2015-07-20T13:55:47Z
1CWPPeeTMBAbM1BEHTtcJ7AWkFhwSwvP9n, u, 7, 0, 4, 60924, 17242860, 2015-02-16T16:33:24Z
1CRcBbQPJ2YoPZZhNUUzFpw8gA5YbVtWuR, u, 13, 0, 1, 85363, 400000, 2016-05-12T06:10:13Z
1CNmL3ECHtAPxb9QZWrW29bq4t9T4SDUR4, u, 4, 0, 1, 86255, 60000, 2014-07-11T16:08:59Z
1CMMBYkiB3AVXbysaYuFEepSJTVRggFaNm, u, 29, 0, 2, 56976, 90010000, 2013-11-29T16:54:26Z
1CLrfZU9kPCT8JUX1KfdWbpBrJkx7rafi8, u, 18, 0, 1, 57567, 10000, 2014-05-01T07:55:34Z
1CFjVkKyUvRUS9FXGTc7WQ5M5XKZ6Lgkwz, u, 60, 0, 1, 1, 500000, 2015-11-27T13:57:09Z
1CFhGHGFVihPfhPqu9aLL7xz9pYD2pyLeN, u, 13, 0, 1, 84664, 390000, 2016-05-12T06:21:52Z
1CFewmRpUFGpTvjxdmniV4ffnxDVVWJv9P, u, 38, 0, 1, 1, 100000, 2015-02-02T13:06:20Z
1CArjb7kpTRxuNnFTL6kjs9DBsUcbwfA6U, c, 29, 0, 1, 38472, 387000, 2015-08-28T06:40:39Z
1C9Y7WM2zvGZjBFqHiqAw5Ks9GxP2sALws, u, 10, 0, 1, 11999, 490000, 2015-07-21T16:46:03Z
1C7yfdj7R8yFFVUqHoNXPogQjQqb1n8DyN, u, 26, 0, 1, 40961, 10000, 2016-02-25T12:46:26Z
1C7MQgKrygvvsFEpgkczHuMWtnB6km3aPA, c, 49, 0, 1, 37545, 375000, 2015-08-28T06:40:39Z
1C7A3EYjeaDCzFrwHc5SDDQ79L9Xfjawpz, u, 8, 0, 1, 42664, 20108, 2014-08-17T14:06:49Z
1ByuDqbsSxpUQqyTqQUMHTFkDHANFyHuU7, u, 44, 0, 4, 28822, 8551600000, 2011-12-10T02:02:04Z
1BuQYQecGhSmLDaLxT7fQXFqBFdMarXrGd, u, 5, 0, 1, 37, 30000, 2016-07-21T00:10:34Z
1BsNpknDfiz35aZXMzHbb8gWvqWx1ckWG9, u, 11, 0, 1, 37902, 20108, 2014-08-17T14:06:49Z
1BrS3zRnDHJEyeV3arQWrNrmtVA9uiv7T8, u, 22, 0, 3, 67003, 2086980, 2014-08-29T21:15:41Z
1BqKQtheChxvjv8eE976HxhAS7X5VFxD6g, u, 8, 0, 1, 66736, 35103, 2015-01-15T09:21:06Z
1BnmEfJbrwr29VczfduwfRDPYpuTLc7TvA, u, 10, 0, 1, 86264, 40000, 2015-07-21T22:45:18Z
1BnN5a635CZW8iGQ8v3CrF4egPX9x1GDzV, u, 56, 0, 1, 3, 1000000000, 2014-03-29T14:01:12Z
1BnDdPEKDj7ZJ5qFh2QXZaMHvR4YcASYkt, u, 17, 0, 1, 2, 500000, 2014-03-01T16:37:06Z
1BiPyR73R6VMMtGYHy1GfwixDz1piXwRnb, u, 17, 0, 1, 64749, 10000, 2016-09-25T15:10:55Z
1BhrsvzcbjP6cPUrQDBjYbTztnHHFDLE9W, u, 7, 0, 2, 74716, 1397948, 2013-05-21T00:07:17Z
1BesFUpZq1dWiorwSeVa2MREnzTmzXGkzn, u, 40, 0, 1, 23071, 1000000, 2013-10-07T20:33:51Z
1BbjBA3hh5VzCUaRZbCyrpM4WLGL7A9uS9, u, 22, 0, 2, 10783, 2020000, 2014-08-29T21:18:10Z
1BaMbbCuZFgs38FSaswzx3LDzFsFXHPgGj, u, 11, 0, 2, 566, 143312, 2015-02-20T09:30:16Z
1BYkmncRhkWXdX3aFhXrBr3pBNVHc724ZF, u, 10, 0, 1, 11732, 10000000, 2015-07-21T22:22:32Z
1BX4dH6MKVx97PmcvkhuhL9Tetry5Fpx4Y, u, 10, 0, 1, 36483, 2990000, 2015-07-21T20:28:18Z
1BW1RMWNL5aeRLgc3TK1vFbu6x265bAgLo, u, 8, 0, 2, 58331, 1941640, 2016-02-04T00:15:16Z
1BUyXsY6G7KYqQudrHQJTnQbPuvUrSQ4kP, u, 5, 0, 1, 59902, 20108, 2014-08-17T14:06:22Z
1BUXEGswgQPHxPudk16HWp7URf9PTkeYeZ, u, 22, 0, 2, 57538, 10020000, 2014-08-29T21:22:01Z
1BStui3issVdHZshnoNm6fScibnsq2fmyv, u, 6, 0, 1, 7492, 1000000, 2015-07-09T14:21:46Z
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197zDV5sGxoWQ9opSnGbeY5DVq4SA7hwRd, c, 20, 0, 1, 21412, 48000, 2015-08-28T06:40:39Z
194oZWVg6XNuRbXnEuwRdjQN6vHf4Nz4Xn, u, 10, 0, 1, 53647, 20108, 2014-08-17T14:04:55Z
192DMLqKgJcM6ir9eFiVKtbtTSmXSVCoAz, u, 10, 0, 1, 8145, 10000000, 2015-07-21T20:00:37Z
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174yAueGYfEF7QxDp6A22YyiHBVKQQB5tj, u, 21, 0, 1, 74639, 26833, 2016-02-02T18:20:40Z
172oMkYjCm5RYPpiGY5ncpRkT2tW6pTVjW, u, 13, 0, 1, 84552, 390000, 2016-05-12T06:23:44Z
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16y4nNeiiQk6yDqJJR41A56pkMvGSg1sjJ, c, 7, 0, 3, 26, 12250304, 2015-02-16T16:31:43Z
16xKpRC9Pe7FHaihuU5eniBV6m8mSCqF5G, c, 27, 0, 1, 13624, 10000, 2016-02-25T12:46:26Z
16uM2iwYbwCE3jhR3oRF1quECcXBceLVYA, u, 10, 0, 1, 25779, 9690000, 2015-07-21T23:35:18Z
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16A9uDBNa9jz4fZrDDidAZ2B7ECcT5PTip, c, 5, 0, 1, 409, 1000000, 2015-07-09T14:21:46Z
16A5RFckRNW6fZzfjCGSneD3PApACLRwix, u, 45, 0, 18, 3884, 10568557389, 2013-02-13T20:32:08Z
168hYiiRm5vFZE3PYRTijn3bSRCTBpDnHQ, u, 13, 0, 1, 84331, 390000, 2016-05-12T06:27:25Z
166Mz3CYUBk93TesAn7F82AfeBmGSXmiFG, u, 11, 0, 1, 29193, 40000, 2015-12-02T22:20:28Z
1636h3bNkj9rtUmXRQNYu3zPorFZbP92W3, u, 10, 0, 1, 3122, 10000000, 2015-07-22T00:50:40Z
162cnv2dZWSyyCrP6gRSA54oVkuLZa1orW, u, 5, 0, 2, 3, 138813, 2015-02-16T21:41:16Z
15ytti5HgCvuBXmspJ89Qyfiuv9gNxLqaA, c, 26, 0, 1, 43328, 10000, 2016-02-25T12:46:26Z
15vVQwwkwoE7ENp6gmBVhjhv45d7TXWuqK, c, 11, 0, 1, 34199, 49500, 2015-06-26T19:02:29Z
15u76L9tuYdFcmC83rS9NspfUjcREn2FXt, u, 13, 0, 1, 84918, 380000, 2016-05-12T06:17:38Z
15tqBXfF5umoxWLp8tK3X33JRUVTiTktKd, u, 17, 0, 1, 6, 2000000, 2013-11-25T11:53:41Z
15rt9nwKC96sCbJhoXQ7oiahn3tAKMq9ZU, u, 13, 0, 1, 85363, 400000, 2016-05-12T06:10:13Z
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The most interesting files are probably: brainmaster.tab and attacksrc.tab files. They contain a list of more than 19k addresses identified to be protected with a brainwallet
I wonder if there is anyone who cracked all addresses from Vasek's list? Probably not. Then, how many of them remain a mystery to you, still?
That's easy to check: get all Bitcoin addresses with a balance and find the duplicates. There's only one:I wonder if there is anyone who cracked all addresses from Vasek's list? Probably not. Then, how many of them remain a mystery to you, still?
15Mjbr23k7LfadNVAMmFZwdzcL5VFHe9gC.
There's 0.001 BTC in there since 2014.
So far I've seen only those online lists of brainwallets. I wonder if there are others available?
Most of you probably know this science paper "The Bitcoin Brain Drain: Examining the Use and Abuse of Bitcoin Brain Wallets" (Marie Vasek, Joseph Bonneau, R. Castellucci, C. Keith, T. Moore). It is available from this link: https://tylermoore.utulsa.edu/fc16.pdf
Authors do not reveal brainwallets in clear text. However, I've found this resource that contains files that are attachments to this paper: https://dataverse.harvard.edu/dataset.xhtml;jsessionid=3b3325c3157850e2d961cf61dfb1?persistentId=doi%3A10.7910%2FDVN%2FRZHL3X&version=&q=&fileTypeGroupFacet=&fileAccess=Public&fileSortField=type
The most interesting files are probably: brainmaster.tab and attacksrc.tab files. They contain a list of more than 19k addresses identified to be protected with a brainwallet (again, no brainwallets in clear text, just information about the length of string). There are still many addresses in Vasek's list that you will not find on the websites mentioned in the beginning.
Some people that participated in this topic have their own lists of brainwallets. I wonder if there is anyone who cracked all addresses from Vasek's list? Probably not. Then, how many of them remain a mystery to you, still?
Are there other lists like this from Vasek? I mean, just addresses without brainwallets revealed?
- http://eli5.eu/brainwallet/
- https://privatekeys.pw/brainwallet/bitcoin/1
- https://privatekeyfinder.io/brainwallet/bitcoin/
Most of you probably know this science paper "The Bitcoin Brain Drain: Examining the Use and Abuse of Bitcoin Brain Wallets" (Marie Vasek, Joseph Bonneau, R. Castellucci, C. Keith, T. Moore). It is available from this link: https://tylermoore.utulsa.edu/fc16.pdf
Authors do not reveal brainwallets in clear text. However, I've found this resource that contains files that are attachments to this paper: https://dataverse.harvard.edu/dataset.xhtml;jsessionid=3b3325c3157850e2d961cf61dfb1?persistentId=doi%3A10.7910%2FDVN%2FRZHL3X&version=&q=&fileTypeGroupFacet=&fileAccess=Public&fileSortField=type
The most interesting files are probably: brainmaster.tab and attacksrc.tab files. They contain a list of more than 19k addresses identified to be protected with a brainwallet (again, no brainwallets in clear text, just information about the length of string). There are still many addresses in Vasek's list that you will not find on the websites mentioned in the beginning.
Some people that participated in this topic have their own lists of brainwallets. I wonder if there is anyone who cracked all addresses from Vasek's list? Probably not. Then, how many of them remain a mystery to you, still?
Are there other lists like this from Vasek? I mean, just addresses without brainwallets revealed?
recently I have found https://bitcars.eu/ Nice initiative, but I did not investigate deeply how they wok - if they sell cars directly or if it is just a catalogue with offers where owner accepts crypto. But what I like is that they offer almost everything - from aston martin sport car to volkswagen camper 
© BitCars | The Crypto Car Marketplace. Since 2016 (btw they are in Switzerland)
https://bitcars.eu/pages/bitcars-bitcoin-automobile-boutique-imprint-legal-disclosure
recently I have found https://bitcars.eu/ Nice initiative, but I did not investigate deeply how they wok - if they sell cars directly or if it is just a catalogue with offers where owner accepts crypto. But what I like is that they offer almost everything - from aston martin sport car to volkswagen camper
That doesn't change the problem if you have "drug money": if you register the car in your name, you have some explaining to do when you get checked. Quote
Then mix and be happy. Just an idea.
Now you have money you don't officially have, and can't officially spend. Great for buying drugs, terrible for buying a car.recently I have found https://bitcars.eu/ Nice initiative, but I did not investigate deeply how they wok - if they sell cars directly or if it is just a catalogue with offers where owner accepts crypto. But what I like is that they offer almost everything - from aston martin sport car to volkswagen camper
I actually addressed your criticism: 'a few minutes later (depending on the amount of plausible deniability vs. risk you're willing to take)'.
Never claimed that this was a risk-free method. As we saw above, it took a whole 10 minutes for (maybe) a bot to sweep the funds.
It's rare, but I think you missed the point completely. It doesn't take 10 minutes to sweep the funds (and you shouldn't trust Blockchain.com on this). This is what Blockchair.com shows:Never claimed that this was a risk-free method.
As we saw above, it took a whole 10 minutes for (maybe) a bot to sweep the funds.
I give it half a second between the moment you broadcast the transaction, and the moment you see it disappear from the compromised address. Many bots are competing to steel those funds, and the fastest wins. You won't have minutes, you won't have seconds. Your money is instantly gone.
Now you have money you don't officially have, and can't officially spend. Great for buying drugs, terrible for buying a car.
Very true. Similar to mixing and buying on decentralized exchange, I guess. Except you can keep / export Bisq trade records and mixing receipts. Would you recommend this?
I guess it's always possible to use something like this for money laundering.
I.e.: (1) Send 1BTC to address whose private key is publicly known.
(2) See how your BTC was collected by someone else's bot.I.e.: (1) Send 1BTC to address whose private key is publicly known.
(3) Cry because you are a loser
Never claimed that this was a risk-free method.
As we saw above, it took a whole 10 minutes for (maybe) a bot to sweep the funds.I guess it's always possible to use something like this for money laundering.
I.e.: (1) Send 1BTC to address whose private key is publicly known.
(2) Sweep the funds a few minutes later (depending on the amount of plausible deniability vs. risk you're willing to take).
(3) Claim you mistakenly sent the funds and that they're gone, since it's an address whose private key is known.
I.e.: (1) Send 1BTC to address whose private key is publicly known.
(2) Sweep the funds a few minutes later (depending on the amount of plausible deniability vs. risk you're willing to take).
(3) Claim you mistakenly sent the funds and that they're gone, since it's an address whose private key is known.
Alternatively, generate private key with relative weak (but not publicly known) string before executing your idea. After some time you could make an account on social media/forum and claim you found another weak Brainwallets which already emptied.
P.S. This is informative post, i'm not taking any responsibility if you weaken your privacy or lose your money
.
All hypothetical of course. I guess it's always possible to use something like this for money laundering.
~
(3) Claim you mistakenly sent the funds and that they're gone, since it's an address whose private key is known.
That's not money laundering. It sounds more like a "boating accident".~
(3) Claim you mistakenly sent the funds and that they're gone, since it's an address whose private key is known.
Quote
Then mix and be happy. Just an idea.
Now you have money you don't officially have, and can't officially spend. Great for buying drugs, terrible for buying a car.I guess it's always possible to use something like this for money laundering.
~
(3) Claim you mistakenly sent the funds and that they're gone, since it's an address whose private key is known.
That's not money laundering. It sounds more like a "boating accident".~
(3) Claim you mistakenly sent the funds and that they're gone, since it's an address whose private key is known.
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Then mix and be happy. Just an idea.
Now you have money you don't officially have, and can't officially spend. Great for buying drugs, terrible for buying a car. I guess it's always possible to use something like this for money laundering.
I.e.: (1) Send 1BTC to address whose private key is publicly known.
(2) See how your BTC was collected by someone else's bot.I.e.: (1) Send 1BTC to address whose private key is publicly known.
(3) Cry because you are a loser
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