target-intelligence

Target Intelligence

Classify Bitcoin target addresses by vulnerability probability, compute temporal narrowing for 300x speedup on timestamp-seeded modes, and aggregate intelligence for automated priority optimization.

Procedure

1. Classify targets — Call quantum_triage to compute per-mode vulnerability scores for all targets
2. Narrow search ranges — For targets with first_seen_timestamp, call quantum_narrow to constrain timestamp modes to a 7-day window (300x reduction)
3. Apply intelligence — Call quantum_optimize to aggregate triage + fingerprint data into mode priority weights

Triage Scoring Algorithm

For each target, the system computes a probability distribution across all 23 modes:

1. Base probability — Inversely proportional to keyspace size:

   • Keyspace <= 100K: 15% base (modes 10, 20)
   • Keyspace <= 100M: 8% base (modes 1, 2, 4, 5, etc.)
   • Keyspace >= 2^64: 0.1% base (modes 3, 6, 7, 9, 11)

2. Temporal boost — If first_seen_timestamp is in the Bitcoin early era (2009-2011), timestamp-seeded modes get 2.5x boost

3. Early Bitcoin boost — First year (2009): low-bit keys (mode 6) get 3x, OpenSSL modes get 2x

4. Coinbase penalty — Miner rewards reduce brain wallet probability by 90%

5. Script type boost — P2PKH addresses from early era get 1.3x on timestamp modes

6. Normalization — All scores normalized to sum=1 (probability distribution)

Temporal Narrowing

Key insight: private keys were generated BEFORE their first on-chain transaction.

• 90% of keys appear within 24 hours of generation
• 99% appear within 7 days
• Window: [first_seen - 7 days, first_seen]

For a target first seen at timestamp T:

• Mode 1 (time-lcg-glibc): search [T-604800-GENESIS, T-GENESIS] instead of full [0, 62833495]
• Mode 12 (java-lcg): multiply by 1000 for millisecond modes
• Mode 8 (time-lcg-pid): multiply by 32768 for PID-combined modes

References

• triage-algorithm.md