-snip- I will configure my BTCrecover either on the current POP OS or try to get a flavor that can get pyopencl running correctly for GPU acceleration. I will then go over the different Electrum versions while trying to get the V-1.* derivation path to work along with the other possible avenues of approach discussed. Might take me some days but I will update the progress as it rolls out.
BTW, some clarifications with the "
quite huge search space" for
--big-typos 8, based from the uncertain words in the other post.
I mean that it's huge that it's not humanly possible to brutefoce even with your GPU; and for the follow-up,
I can't find other options in seedrecover to set a tokenlist in v1.x electrum seed so it has t rely on "
best guess" and "
--big-typos", maybe someone else does.
If you can make a bunch of manual "
3 mistakes" iterations of your mnemonic phrase based from the know and possible words, that will make it plausible.
Example (
now based from this):
^1^knownwordlocked
^2^knownwordlocked
^7^knownwordlocked
^8^knownwordlocked
^9^knownwordlocked
^10^knownwordlocked
^11^knownwordlocked
^12^knownwordlocked
5 words including the known word that is position 3 or 4
5 words including the known word that is position 3 or 4
5 words NOT including the known word that is position 3 or 4
2 words that are position 6
There's only two attempts that should be made:
1st "
best guess": word1 word2 word3A word4A word5A
word6A word7 word8 word9 word10 word11 word12
2nd "
best guess": word1 word2 word3A word4A word5A
word6B word7 word8 word9 word10 word11 word12
Since there are only 4 uncertain words in this case and word6 has only two possible words, you can let it bruteforce up to 3 mistakes in two separate attempts with word6-A and word6-B.
That's faster than setting it to --big-typos 4.