./bf_bloom -i test_addresses.bin -o addresses.bloom -n 1000000 -p 0.0001 Then run with -B addresses.bloom . Use bf_prefix to precompute key prefixes for faster matching:
./bf_txt2bin test_addresses.txt test_addresses.bin # Small custom wordlist echo -e "password\nsatoshi\nbrainwallet" > wordlist.txt Step 3: Run BrainFlayer # Basic crack (single-threaded) ./brainflayer -v -b test_addresses.bin -f wordlist.txt Multi-threaded (use all CPU cores) ./brainflayer -v -b test_addresses.bin -f wordlist.txt -t $(nproc) With custom key derivation (e.g., 10 iterations of SHA256) ./brainflayer -v -b test_addresses.bin -f wordlist.txt -i 10 Expected Output (for a found wallet) Found key: 5Kb8kLf9zgWQnogidDA76MzPL6TsZZY36hWXMssSzNydYXYB9KF for address 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa 5. Advanced Configuration Bloom Filter Optimization BrainFlayer uses a Bloom filter for fast membership testing. Generate one from your address list: brainflayer windows
# Example addresses (use real ones from a blockchain dump for legitimate audits) echo "1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa" > test_addresses.txt Convert to binary hash160 format using the included tool: Generate one from your address list: # Example
1. Overview BrainFlayer is a high-performance, proof-of-concept brainwallet cracking tool originally developed by Ryan Castellucci for Unix-like systems. It is designed to perform probabilistic cracking of Bitcoin brainwallets by generating private keys from passphrases, deriving the corresponding Bitcoin addresses, and checking them against a target list of addresses with known balances. deriving the corresponding Bitcoin addresses