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README.md

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-# Grand-Ultimate-BTC-Hacker
+# Grand-Ultimate-BTC-Hacker
+
+Two parts here random key search of bitcoin, and ECDLP high-level math analysis to map public-keys to private.
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+
+**
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+Recently I have re-deployed my RTX-3070's from hacking btc do mining ETH, which is very profiitable now
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+These old GTX1060-3gb cards are worthless, but just experimenting around I made an interesting discovery.
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+Normally the 1060-3 would do about 50MH/sec, but when I put the hacking tool on its own NVME m.2. on the MOBO I found that the 8gb bloom filter was almost 100% allowing the GPU to run at max
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+Now I have 300M addresses from BTC that have value, placed in my 8gb bloom filter gives a false positive of one in a trillion-trillion-trillion, so not often
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+The 250 MH/sec is how often a private key is created ( more on this later ), and then all possible (comp/uncomp) addresses (h160)  are ran through the bloom-filter, so the through-put is really 250 M & 300M , or almost 1,000 TH/SEC address compares, but really higher because I'm doing 4 different combinations so its 4,000 TH/sec, on just one card, but I'm doing six on a rig, so its 24 PH/sec
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+This yields about one lost address per week to be found
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+For the record the rtx-3070 was doing 1,000MH/sec, but I was just running the bloom-filter off of an SSD, but it was shared, I have never tested a standalone NVME with the RTX, I could imagine they would do 1TH/sec easily.
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+WHat's all this mean? Well in BTC secp256k1 you got 10e77 combos, 1/2 that to birthday you got 10e36, divide that by 10e15, and you get 10e15, that many seconds tells you how often you should have a hit in real time, old calculations were on the order of  one every 1,000 days.
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+But on a rig I'm see way more often, because I guess for the simple matter is the napkin, is always different than real world.
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+So what are the tools?
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+1.) hack up vanity-search, which  is the best gpu solution for generating keys
+2.) add the 8gb bloom filter, note that linux only support 4gb shared memory, so the bloom must be cascaded, note that brain-flayer only used a 512mb bloom, so creating a 8gb bloom is a major task in software engineering
+3.) hack up vanity-search so that on every new key, its runs through the bloom-filter for every possible address that can be generated, comp, un-comp, h160, eth,...
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+The Gtx-1060 only uses 970mb of memory, so in effect even the older gtx750 could be used here Smiley
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+I spent a few years ago spending time putting the bloom-filter on the gtx-1070, but even though there is only 8gb, you can only allocate 700mb max at a time in CUDA dev, so I found near impossible to get a working 4gb bloom running on a GPU, so I fell back to doing it on the CPU.
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+Note in my rig here I'm just using an 2core i3 ( $50 cpu ), with 4gb memory, as this is essentially 100% gpu
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+I'm just sharing this cuz well its my hobby, and I have to report.
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+Lastly, just for the record, like the original brain-flayer dude, I don't spend the coin, I don't even own a single exchange on earth, what I do when I find btc, is I put it in a database, and watch how long it takes be spent after I find it, I have found to date, that almost all coins are gone < 1 yr, which tells me I'm not the only one playing this game.
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+The selection of random-keys in vanity-search is very critical, of course all that code has to be stripped, as your not looking for prefix, I use a baby-step/giant-step algo that runs through public-keys, where I have 100's of 1,000's every 20 minutes randomly search for a new key from that public hash ( of known high-value ), I do this to make sure that my private key search space is within known valuable addresses, as I'm not looking for a prefix like vanity, I'm looking for a random public address of known value. The 20 min idea, is that time try another, because of scale of the pool, there isn't much duplication.
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+...
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+Lastly, on hacking btc, I spent years working on hacking the original public-key coins hold +50 btc, there used to be 1,000's, now there are < 900, and its dropping a few per month, so there being hacked. I was very close to getting a public key mapped to private, using various techniques, but had to move on other projects. Essentially the trick is p is the prime, and n is the order, if you can get n-1, n, or n+1 == p, then you can use a linear discrete log tool (cado-nfs) to get the private-key. The tough nut to crack, is finding the p just close enough to secp26k1 p, to put you in the ballpark for using kangaroo where you need to be within 2^40
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+I have crack these public high-value keys, but given that I dont' actually touch them, sweep them, its just a mental puzzle and move-on, but the cado-nfs, and finding n+1 is a very difficult & tedious process, of which a few months I get burned out and move onto other projects.
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+Mapping public-keys ( not hashed pre 2013 bitcoin was not sha'd ) is a real thing, but it takes tremendous knowledge of graduate-math in crypto; The ECDLP is one of the most difficult problems in mathematics; There are many steps, its not like normal hacking; There are no tools, everything is roll-your-own; There is no such thing on GITHUB, as the only thing you'll find there is junk; Like they say, if it made money, they wouldn't be giving it away for free.