Thanks for pointing out those posts. I was aware of the first one (from Pastebin) but haven't yet made my own dataset with the kind of data decscribed in there like BTC-addresses, transaction-id's, merkleroots, etc.
I will read up on your post about Ethereum brainwallets. I'm focussing on BTC for now but it's always nice to read about other experiences!
Topic: Collection of 18.509 found and used Brainwallets - page 15. (Read 30938 times)
This thread might be of interest to you: https://bitcointalksearch.org/topic/thoughts-on-this-private-key-stealing-mystery-2488493
And I did something similar with Ethereum (only used some ~10,000 most common passwords): https://bitcointalksearch.org/topic/m.42291616
And I did something similar with Ethereum (only used some ~10,000 most common passwords): https://bitcointalksearch.org/topic/m.42291616
Thanks for pointing out the 2 Billion mistake! I will look into it tomorrow.
Very interesting data, and proof that we are inherently awful at privacy. I think my personal favorite is number 72, "how much wood could a woodchuck chuck if a woodchuck could chuck wood", which has held over 500 BTC.
You've missed a decimal point at entry 266 - it currently says it has held over 2 billion BTC.
You've missed a decimal point at entry 266 - it currently says it has held over 2 billion BTC.
Cool, thanks! 
Biggest is over 500 BTC. As stated on the site (https://eli5.eu/brainwallet/detail/14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE.html):
General Information
The passhrase below was used as a Brainwallet to generate the given address.
BTC Address: 14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE
Used passphrase: bitcoin is awesome
Total transactions: 19
Amount received: 501.06500863 BTC
Amount spent: 501.06500863 BTC
Proof
You can check the private key is indeed known by verifying the following signed message when running your own node:
General Information
The passhrase below was used as a Brainwallet to generate the given address.
BTC Address: 14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE
Used passphrase: bitcoin is awesome
Total transactions: 19
Amount received: 501.06500863 BTC
Amount spent: 501.06500863 BTC
Proof
You can check the private key is indeed known by verifying the following signed message when running your own node:
Code:
bitcoin-cli verifymessage "14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE" "HBi3IJsPku4lbbxJo3KAbghdPUKkpcCkg0E6VqHBDLGoEXvzdcUqI3MLA1bvoe4IcTcB5V4IL+l5XB7YLIchg7E=" "By using a weak brainwallet the private key for address 14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE has been compromised."
What is the biggest transaction on those? Anyone above 10BTC?
I personally believe most of the ones with a 0.00005460 deposit and withdrawal are in there because of some experiment in the past where simple dictionary words were used to see how long it would take for an attacker to grab the funds. I do agree with you the ones with the most transactions are the ones most interesting that's why I sorted the list by number of transactions. I still think the other ones are interesting as well when trying to compose a list of brainwallets which have been used in the past.
most of the ones you found have a 0.00005460 deposit and withdrawal
ie 2 transactions. so I would adjust the 18,509 down to under 2,000
as it is obvious those addresses where designed and used to receive then send 0.00005460
0.0000546 seems to start at 899 and end at 18036 that is more then 17,000 where security was basically an
" I don't care do you? " plan. But it does interest me that the first 899 on the list were not like that and used often.
ie 2 transactions. so I would adjust the 18,509 down to under 2,000
as it is obvious those addresses where designed and used to receive then send 0.00005460
0.0000546 seems to start at 899 and end at 18036 that is more then 17,000 where security was basically an
" I don't care do you? " plan. But it does interest me that the first 899 on the list were not like that and used often.
I did look into Brainflayer and also used it in the process. But you got to keep in mind Brainflayer is not a standalone solution. It depends on creating a Bloom filter based upon all addresses used in the BTC-Blokchain. So you first need to come up with such a list: this is where I used my own parser to create the list. In 2015 when Brainflayer was released there were about 80 Million unique addresses on the blockchain which lead to a lot less false positives than when used on the 400 Million plus unique addresses currently in use. And finally Brainflayer just reports if a match was found it doesn't do any looking into transactions or balances used.
So what I did was make use of Brainflayer to do a very fast scan using a Bloomfilter and I processed the results from there within my own tooling to filter out false positives, duplicates and add extra information on transactions and balances.
So what I did was make use of Brainflayer to do a very fast scan using a Bloomfilter and I processed the results from there within my own tooling to filter out false positives, duplicates and add extra information on transactions and balances.
Oh wow... more than 18k BTC addresses having used single word passphrases is pretty bad. At least most of them don't seem to have been used since 2013.
Did you look into Brainflayer [1] or did you feel more comfortable using a custom made solution?
[1] https://github.com/ryancdotorg/brainflayer
Did you look into Brainflayer [1] or did you feel more comfortable using a custom made solution?
[1] https://github.com/ryancdotorg/brainflayer
No, I used my own parser but since it wasn;t/isn't finished yet I got the transactions and balance from using the Blockchain API.
The steps involved for creating such a list:
That's about it.
The steps involved for creating such a list:
- Perform a SHA-256 on the input (word/phrase)
- Check the generated private key (compressed/uncompressed) against my own databases with successes
- If Private key is not in database create BTC-address from the key(s)
- Check if BTC address exists on blockchain based on my own database with all BTC-addresses
- If address is found store the private key and passphrase in the database and get info on number of transactions and balance from Blockchain API
That's about it.
Did you use block parser to create the list?
I mainly used single words from dictionaries and used passwords from published password dumps.
Which dictionary did you use?
One word or multi word attack?
One word or multi word attack?
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
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
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