Wallet-Recovery
自動化 Bip39 種子恢復
最近，當我忘記密碼時，我被鎖在我的 Ledger NanoS 之外。在嘗試從我的恢復片語中重置時，我意識到我只有 24 個必需單詞中的 23 個（不幸的是不確定它是如何發生的）。我不確定單詞在哪個位置，但我確定其他 23 個單詞的順序是正確的。話雖如此，我必須在每個其他位置嘗試所有可能性。
我發現這篇文章給了我一個單詞列表來填充缺失的單詞： 失去我的比特幣錢包並且只有 12 個助記詞助記詞中的 11 個。我怎樣才能得到我的比特幣？
我正在尋找一段程式碼，它可以讓我在不手動嘗試錢包 1 的情況下攪動解決方案。
你知道鑰匙串中的地址之一嗎？Ledger 使用 BIP44 派生，因此您可以編寫一個循環來檢查不同的種子片語，並根據您知道應該在鑰匙串中的地址檢查結果地址。這樣您就可以輸入您的恢復詞，而無需線上。
例如，如果是我，我可能會使用bitcoinjs-lib寫一些東西。這是用bitcoinjs編寫的開始（注意我使用的是 3.3.2 版本）。這將獲取一個恢復種子和一個地址，它將搜尋鑰匙串並告訴您該地址是否存在於其中。
//var words = "segment increase inch ensure corn cigar suggest fetch output proof peasant enact"; //var addr = "1c4XzQx7Uh8CnxzAN5CRrUjkbxGB1GUWp"; var searchbtn = document.getElementById("searchbtn"); searchbtn.onclick = function(){ var words = document.getElementById("words").value; var addr = document.getElementById("addr").value; var depth = document.getElementById("depth").value; inkeychain(addr, words, depth); } function inkeychain(addr, keychain, depth){ var isfound = false; for(var i=0;i<depth;i++){ var seed = hd.bip39.mnemonicToSeed(keychain); var root = b.bitcoin.HDNode.fromSeedBuffer(seed) //const root = bitcoin.HDNode.fromSeedHex(seed.toString('hex')) var wallet = root.derivePath("m/44'/0'/0'/0/"+i); //legacy var address = wallet.getAddress(); var wif = wallet.keyPair.toWIF(); //segwit p2sh var pubKey = wallet.keyPair.getPublicKeyBuffer(); var pubKeyHash = b.bitcoin.crypto.hash160(pubKey); var redeemScript = b.bitcoin.script.witnessPubKeyHash.output.encode(pubKeyHash); var redeemScriptHash = b.bitcoin.crypto.hash160(redeemScript); var scriptPubKey2 = b.bitcoin.script.scriptHash.output.encode(redeemScriptHash); var p2shsegwit = b.bitcoin.address.fromOutputScript(scriptPubKey2); if(address===addr){ isfound = true; console.log(address, wif); $('#result').html('Found '+addr+' in this keychain at '+i+' position in the keychain'); alert('Found!'); } else if (p2shsegwit===addr){ //check for segwit p2sh isfound = true; console.log(p2shsegwit, wif); $('#result').html('Found '+addr+' in this keychain at '+i+' position in the keychain'); alert('Found!'); } } if(isfound===false){ $('#result').html('No matches'); } }<https://bitcoinfunction.com/?id=5d9ea508d9bed>
從這裡你可以更進一步，將
words變數變成一個包含所有不同組合的數組，然後將它們全部循環。
從您連結到的相關問題中擴展此答案（使用 python），我們可以開始縮小可能性列表。
從已知單詞的有序列表開始：
ordered_known_words = [ 'glory', 'twice', 'film', 'near', 'senior', 'trust', 'thunder', 'endorse', 'suggest', 'scheme', 'habit', 'limit', 'slow', 'yard', 'clog', 'attend', 'axis', 'enough', 'only', 'magic', 'hair', 'rule', 'zone', ]首先，為您失去的單詞的每個可能位置生成一個片語模式：
def generate_phrase_patterns(ordered_known_words, mnemonic_length=24): list_of_patterns = [] for i in range(0, mnemonic_length): list_template = ['{x}'] * mnemonic_length word_position = 0 for position, known_word in enumerate(ordered_known_words): if i <= position: list_template[position + 1] = known_word else: list_template[position] = known_word word_position += 1 list_of_patterns.append(', '.join(list_template)) return list_of_patterns這將產生一個列表列表，如下所示：
{x}, glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, {x}, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, {x}, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, {x}, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, {x}, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, {x}, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, {x}, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, {x}, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, {x}, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, {x}, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, {x}, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, {x}, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, {x}, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, {x}, yard, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, {x}, clog, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, {x}, attend, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, {x}, axis, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, {x}, enough, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, {x}, only, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, {x}, magic, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, {x}, hair, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, {x}, rule, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, {x}, zone glory, twice, film, near, senior, trust, thunder, endorse, suggest, scheme, habit, limit, slow, yard, clog, attend, axis, enough, only, magic, hair, rule, zone, {x}現在，將此答案輸入到您連結的相關問題的程式碼中，以生成所有可能片語的列表：
def generate_all_valid_phrases(phrase_patterns): from btctools.HD import check, WORDS total_phrases = [] for pattern in phrase_patterns: for word in WORDS: mnemonic = pattern.format(x=word) if check(mnemonic): total_phrases.append(mnemonic) return total_phrases至此，我們有 180 個有效的 24 字助記詞，其中一個包含您的硬幣。
雖然您可以手動檢查所有這些，但這將是一項乏味的任務。正如m1xolyd1an 的回答中所討論的，如果您知道以前使用的地址之一，我們可以使用這些助記片語中的每一個來生成每個片語產生的前 5 個左右確定性地址，並執行比較以檢查地址匹配。
from btctools import Xprv import json master_address_list = [] for phrase in total_phrases: m = Xprv.from_mnemonic(phrase) # check first few address spaces for a known match for i in range(0, 5): addr = (m/44./0./0./0/i).address('P2PKH') if addr == '1C26mdyEsNpe4fpkYtuHzH4Y378wez8mxP': master_address_list.append({addr: phrase}) elif addr == '1BjoCJhvRCx9nVLPaKhg4qQ2YYps8mDgY4': master_address_list.append({addr: phrase}) print(f'Address match(s) found: ', len(master_address_list)) print(json.dumps(master_address_list, indent=4, sort_keys=True))如果找到任何地址匹配，這會將它們列印為鍵值對：
{ "<address>": "<mnemonic phrase>" }這裡有兩個 python 腳本以不同的方式結合了上述邏輯：
- <https://github.com/d-fay/cryptotools/blob/master/solve_partial_12word_mnemonic_example.py>
- <https://github.com/d-fay/cryptotools/blob/master/solve_partial_24word_mnemonic_example.py>