Searching for "index of wallet.dat" is a common Google Dorking technique used by security researchers—and unfortunately, hackers—to find exposed Bitcoin wallet files on unsecured web servers.
Bitcoin wallets, specifically the legacy wallet.dat format (Berkeley DB), contain critical forensic artifacts: private keys, addresses, transaction metadata, and keypool entries. However, raw wallet.dat parsing is slow, and current tools (e.g., pywallet, bitcoin-core’s wallet_tool ) lack efficient indexing for large-scale forensic analysis. This paper proposes , a dual-layer indexing framework that combines (1) a persistent B+‑tree index over key–value records (key type, creation time, address), and (2) a Merkle-based integrity index to detect tampering. Experiments on 10,000 synthetic and 50 real-world wallet files show a 94% reduction in query latency for address–key lookups and 78% faster forensic triage across multi-wallet datasets.
: Ensuring the indexing solution can scale with the growing demands of users and the Bitcoin network.