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620 lines (512 loc) · 22.3 KB
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#!/usr/bin/env python3
"""
Track FX: Cross-Protocol Bridge Attacks (395-400)
Attacks on bridges between Web4 and external protocols/systems.
These exploit the translation layer where Web4's trust semantics
meet external systems with different trust models.
Key Insight: Protocol bridges are attack magnets because:
- Trust model translation is inherently lossy
- Timing differences create race conditions
- Authentication mechanisms differ across protocols
- State synchronization is complex
- Error handling may expose attack surfaces
Web4 must interoperate with:
- Traditional blockchain systems (Ethereum, ACT)
- Legacy identity systems (OAuth, SAML)
- AI/ML platforms (SAGE, Claude, etc.)
- MCP servers and tool ecosystems
- Enterprise systems (LDAP, AD)
Author: Autonomous Research Session
Date: 2026-02-12
Track: FX (Attack vectors 395-400)
"""
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Set, Tuple, Any
from datetime import datetime, timedelta
from collections import defaultdict
import random
import hashlib
class ProtocolType(Enum):
"""Types of external protocols."""
WEB4_NATIVE = "web4"
ETHEREUM = "ethereum"
ACT_CHAIN = "act"
OAUTH2 = "oauth2"
SAML = "saml"
MCP = "mcp"
SAGE = "sage"
LEGACY_REST = "rest"
class TranslationResult(Enum):
"""Result of trust translation."""
SUCCESS = "success"
PARTIAL = "partial"
FAILED = "failed"
@dataclass
class ProtocolCredential:
"""Credential from an external protocol."""
protocol: ProtocolType
credential_id: str
claims: Dict[str, Any]
issued_at: datetime
expires_at: datetime
trust_level: float
verified: bool = True
@dataclass
class BridgeMapping:
"""Mapping between protocols."""
source_protocol: ProtocolType
target_protocol: ProtocolType
source_id: str
target_id: str
mapping_type: str
trust_translation: float
created_at: datetime
last_verified: datetime
@dataclass
class BridgeTransaction:
"""A cross-protocol transaction."""
tx_id: str
source_protocol: ProtocolType
target_protocol: ProtocolType
source_credential: ProtocolCredential
operation: str
payload: Dict[str, Any]
timestamp: datetime
status: str = "pending"
result: Optional[Dict] = None
class ProtocolBridgeSimulator:
"""Simulates a Web4 protocol bridge."""
def __init__(self):
self.mappings: Dict[str, BridgeMapping] = {}
self.transactions: List[BridgeTransaction] = []
self.credentials: Dict[str, ProtocolCredential] = {}
self.trust_translation_factors = {
(ProtocolType.ETHEREUM, ProtocolType.WEB4_NATIVE): 0.8,
(ProtocolType.ACT_CHAIN, ProtocolType.WEB4_NATIVE): 0.95,
(ProtocolType.OAUTH2, ProtocolType.WEB4_NATIVE): 0.6,
(ProtocolType.SAML, ProtocolType.WEB4_NATIVE): 0.65,
(ProtocolType.MCP, ProtocolType.WEB4_NATIVE): 0.75,
(ProtocolType.SAGE, ProtocolType.WEB4_NATIVE): 0.9,
}
self.max_trust_boost = 1.0
self._init_baseline()
def _init_baseline(self):
for i in range(20):
cred_id = f"cred_{i}"
protocol = random.choice(list(ProtocolType))
self.credentials[cred_id] = ProtocolCredential(
protocol=protocol,
credential_id=cred_id,
claims={"user_id": f"user_{i}"},
issued_at=datetime.now() - timedelta(days=random.randint(1, 100)),
expires_at=datetime.now() + timedelta(days=random.randint(30, 365)),
trust_level=random.uniform(0.3, 0.9)
)
def translate_trust(self, credential: ProtocolCredential,
target_protocol: ProtocolType) -> Tuple[float, TranslationResult]:
key = (credential.protocol, target_protocol)
factor = self.trust_translation_factors.get(key, 0.5)
translated_trust = min(credential.trust_level * factor, self.max_trust_boost)
if factor >= 0.8:
result = TranslationResult.SUCCESS
elif factor >= 0.5:
result = TranslationResult.PARTIAL
else:
result = TranslationResult.FAILED
return translated_trust, result
def process_transaction(self, tx: BridgeTransaction) -> Dict[str, Any]:
if tx.source_credential.expires_at < datetime.now():
tx.status = "failed"
return {"success": False, "error": "expired_credential"}
translated_trust, result = self.translate_trust(
tx.source_credential, tx.target_protocol
)
if result == TranslationResult.FAILED:
tx.status = "failed"
return {"success": False, "error": "trust_translation_failed"}
tx.status = "completed"
tx.result = {"translated_trust": translated_trust}
self.transactions.append(tx)
return {"success": True, "result": tx.result}
# Attack 395: Trust Inflation via Protocol Laundering
@dataclass
class TrustInflationAttack:
original_trust: float = 0.0
final_trust: float = 0.0
laundering_path: List[ProtocolType] = field(default_factory=list)
def execute(self, bridge: ProtocolBridgeSimulator) -> Dict[str, Any]:
attacker_cred = ProtocolCredential(
protocol=ProtocolType.OAUTH2,
credential_id="attacker_oauth",
claims={"user_id": "attacker"},
issued_at=datetime.now(),
expires_at=datetime.now() + timedelta(days=30),
trust_level=0.4
)
self.original_trust = attacker_cred.trust_level
direct_trust, _ = bridge.translate_trust(attacker_cred, ProtocolType.WEB4_NATIVE)
# Launder through SAGE (higher trust factor)
sage_cred = ProtocolCredential(
protocol=ProtocolType.SAGE,
credential_id="fake_sage",
claims={"user_id": "attacker", "source_protocol": "oauth2"},
issued_at=datetime.now(),
expires_at=datetime.now() + timedelta(days=30),
trust_level=0.7
)
laundered_trust, _ = bridge.translate_trust(sage_cred, ProtocolType.WEB4_NATIVE)
self.final_trust = laundered_trust
return {
"attack_type": "trust_inflation",
"original_trust": self.original_trust,
"direct_translation": direct_trust,
"laundered_trust": self.final_trust,
"trust_gain": self.final_trust - direct_trust,
"success": (self.final_trust - direct_trust) > 0.1
}
class TrustInflationDefense:
def __init__(self, bridge: ProtocolBridgeSimulator):
self.bridge = bridge
self.credential_history: Dict[str, List[ProtocolType]] = defaultdict(list)
def detect(self, credential: ProtocolCredential) -> Tuple[bool, List[str]]:
alerts = []
detected = False
if "source_protocol" in credential.claims:
alerts.append("Credential claims prior protocol - potential laundering")
detected = True
age = datetime.now() - credential.issued_at
if credential.protocol == ProtocolType.SAGE and age < timedelta(hours=1) and credential.trust_level > 0.6:
alerts.append("New SAGE credential with high trust")
detected = True
return detected, alerts
# Attack 396: Race Condition in Async Bridge
@dataclass
class BridgeRaceConditionAttack:
transactions_created: int = 0
race_window_exploited: bool = False
def execute(self, bridge: ProtocolBridgeSimulator) -> Dict[str, Any]:
attacker_cred = ProtocolCredential(
protocol=ProtocolType.WEB4_NATIVE,
credential_id="attacker_web4",
claims={"user_id": "attacker", "balance": 100},
issued_at=datetime.now(),
expires_at=datetime.now() + timedelta(days=30),
trust_level=0.7
)
successful_txs = 0
for i in range(5):
self.transactions_created += 1
if i < 2 or random.random() < 0.3:
successful_txs += 1
if i >= 2:
self.race_window_exploited = True
return {
"attack_type": "race_condition",
"transactions_attempted": self.transactions_created,
"transactions_succeeded": successful_txs,
"race_exploited": self.race_window_exploited,
"success": successful_txs > 2
}
class BridgeRaceDefense:
def __init__(self, bridge: ProtocolBridgeSimulator):
self.bridge = bridge
self.pending_transactions: Dict[str, List[BridgeTransaction]] = defaultdict(list)
def detect(self, transactions: List[BridgeTransaction]) -> Tuple[bool, List[str]]:
alerts = []
detected = False
by_source: Dict[str, List[BridgeTransaction]] = defaultdict(list)
for tx in transactions:
by_source[tx.source_credential.credential_id].append(tx)
for source_id, txs in by_source.items():
if len(txs) > 3:
alerts.append(f"Burst transactions from {source_id}: {len(txs)}")
detected = True
return detected, alerts
# Attack 397: Credential Replay Across Protocols
@dataclass
class CredentialReplayAttack:
replayed_credentials: int = 0
successful_replays: int = 0
def execute(self, bridge: ProtocolBridgeSimulator) -> Dict[str, Any]:
legitimate_cred = ProtocolCredential(
protocol=ProtocolType.ETHEREUM,
credential_id="eth_valid_123",
claims={"address": "0x1234567890abcdef"},
issued_at=datetime.now() - timedelta(hours=1),
expires_at=datetime.now() + timedelta(hours=23),
trust_level=0.8
)
for target in [ProtocolType.WEB4_NATIVE, ProtocolType.ACT_CHAIN]:
self.replayed_credentials += 1
tx = BridgeTransaction(
tx_id=f"replay_{target.value}",
source_protocol=ProtocolType.ETHEREUM,
target_protocol=target,
source_credential=legitimate_cred,
operation="authenticate",
payload={"nonce": "old_nonce_12345"},
timestamp=datetime.now()
)
result = bridge.process_transaction(tx)
if result["success"]:
self.successful_replays += 1
return {
"attack_type": "credential_replay",
"replays_attempted": self.replayed_credentials,
"replays_successful": self.successful_replays,
"success": self.successful_replays > 0
}
class CredentialReplayDefense:
def __init__(self, bridge: ProtocolBridgeSimulator):
self.bridge = bridge
self.nonce_registry: Dict[str, datetime] = {}
def detect(self, credential: ProtocolCredential, nonce: str) -> Tuple[bool, List[str]]:
alerts = []
detected = False
if nonce in self.nonce_registry:
alerts.append(f"Nonce replay detected: {nonce}")
detected = True
self.nonce_registry[nonce] = datetime.now()
return detected, alerts
# Attack 398: Error Message Information Leak
@dataclass
class ErrorLeakAttack:
errors_collected: List[Dict] = field(default_factory=list)
information_extracted: Dict[str, Any] = field(default_factory=dict)
def execute(self, bridge: ProtocolBridgeSimulator) -> Dict[str, Any]:
test_cases = [
ProtocolCredential(
protocol=ProtocolType.ETHEREUM,
credential_id="expired_test",
claims={},
issued_at=datetime.now(),
expires_at=datetime.now() - timedelta(days=1),
trust_level=0.5
),
ProtocolCredential(
protocol=ProtocolType.MCP,
credential_id="overflow_test",
claims={},
issued_at=datetime.now(),
expires_at=datetime.now() + timedelta(days=1),
trust_level=1.5
),
]
for cred in test_cases:
tx = BridgeTransaction(
tx_id=f"error_test_{len(self.errors_collected)}",
source_protocol=cred.protocol,
target_protocol=ProtocolType.WEB4_NATIVE,
source_credential=cred,
operation="probe",
payload={},
timestamp=datetime.now()
)
result = bridge.process_transaction(tx)
if not result["success"]:
self.errors_collected.append({"error": result.get("error")})
if "expired" in str(result):
self.information_extracted["timestamp_validation"] = True
return {
"attack_type": "error_leak",
"errors_collected": len(self.errors_collected),
"information_extracted": self.information_extracted,
"success": len(self.information_extracted) > 0
}
class ErrorLeakDefense:
def __init__(self, bridge: ProtocolBridgeSimulator):
self.bridge = bridge
self.error_patterns: Dict[str, int] = defaultdict(int)
def detect(self, credential_id: str, error_type: str) -> Tuple[bool, List[str]]:
alerts = []
detected = False
self.error_patterns[f"{credential_id}:{error_type}"] += 1
total_errors = sum(c for k, c in self.error_patterns.items() if k.startswith(credential_id))
if total_errors > 5:
alerts.append(f"Systematic error probing from {credential_id}")
detected = True
return detected, alerts
# Attack 399: Bridge State Desync
@dataclass
class BridgeDesyncAttack:
desync_created: bool = False
state_divergence: Dict[str, Any] = field(default_factory=dict)
def execute(self, bridge: ProtocolBridgeSimulator) -> Dict[str, Any]:
target_received = random.random() > 0.5
if not target_received:
self.desync_created = True
self.state_divergence = {
"web4_state": "asset_locked",
"act_chain_state": "no_record",
"discrepancy": "asset locked on Web4 but not recorded on ACT Chain"
}
return {
"attack_type": "bridge_desync",
"desync_created": self.desync_created,
"state_divergence": self.state_divergence,
"success": self.desync_created
}
class BridgeDesyncDefense:
def __init__(self, bridge: ProtocolBridgeSimulator):
self.bridge = bridge
self.pending_confirmations: Dict[str, BridgeTransaction] = {}
self.confirmation_timeout = timedelta(minutes=5)
def detect(self, tx: BridgeTransaction) -> Tuple[bool, List[str]]:
alerts = []
detected = False
if tx.tx_id in self.pending_confirmations:
pending_time = datetime.now() - self.pending_confirmations[tx.tx_id].timestamp
if pending_time > self.confirmation_timeout:
alerts.append(f"Transaction {tx.tx_id} pending too long")
detected = True
return detected, alerts
# Attack 400: Protocol Downgrade Attack
@dataclass
class ProtocolDowngradeAttack:
downgrade_achieved: bool = False
original_protocol: Optional[ProtocolType] = None
downgraded_protocol: Optional[ProtocolType] = None
def execute(self, bridge: ProtocolBridgeSimulator) -> Dict[str, Any]:
self.original_protocol = ProtocolType.ACT_CHAIN
if random.random() < 0.3:
self.downgrade_achieved = True
self.downgraded_protocol = ProtocolType.OAUTH2
return {
"attack_type": "protocol_downgrade",
"original_protocol": self.original_protocol.value,
"downgrade_achieved": self.downgrade_achieved,
"downgraded_to": self.downgraded_protocol.value if self.downgraded_protocol else None,
"success": self.downgrade_achieved
}
class ProtocolDowngradeDefense:
def __init__(self, bridge: ProtocolBridgeSimulator):
self.bridge = bridge
self.min_protocol_versions = {ProtocolType.ACT_CHAIN: "1.5"}
self.blocked_legacy_modes = {"legacy", "compatibility", "fallback"}
def detect(self, tx: BridgeTransaction) -> Tuple[bool, List[str]]:
alerts = []
detected = False
for key, value in tx.payload.items():
if any(legacy in str(value).lower() for legacy in self.blocked_legacy_modes):
alerts.append(f"Legacy mode requested: {value}")
detected = True
version = tx.source_credential.claims.get("version", "")
if version and version < self.min_protocol_versions.get(tx.source_protocol, "0"):
alerts.append(f"Protocol version too old: {version}")
detected = True
return detected, alerts
def run_track_fx_simulations() -> Dict[str, Any]:
results = {}
print("=" * 70)
print("TRACK FX: Cross-Protocol Bridge Attacks (395-400)")
print("=" * 70)
# Attack 395
print("\n[Attack 395] Trust Inflation via Protocol Laundering...")
bridge = ProtocolBridgeSimulator()
attack = TrustInflationAttack()
result = attack.execute(bridge)
defense = TrustInflationDefense(bridge)
fake_cred = ProtocolCredential(
protocol=ProtocolType.SAGE,
credential_id="test_sage",
claims={"source_protocol": "oauth2"},
issued_at=datetime.now(),
expires_at=datetime.now() + timedelta(days=1),
trust_level=0.7
)
detected, alerts = defense.detect(fake_cred)
results["395_trust_inflation"] = {"attack_result": result, "detected": detected, "alerts": alerts}
print(f" Success: {result['success']}, Detected: {detected}")
# Attack 396
print("\n[Attack 396] Race Condition in Async Bridge...")
bridge = ProtocolBridgeSimulator()
attack = BridgeRaceConditionAttack()
result = attack.execute(bridge)
defense = BridgeRaceDefense(bridge)
txs = [BridgeTransaction(
tx_id=f"test_{i}", source_protocol=ProtocolType.WEB4_NATIVE, target_protocol=ProtocolType.ETHEREUM,
source_credential=ProtocolCredential(
protocol=ProtocolType.WEB4_NATIVE, credential_id="test", claims={},
issued_at=datetime.now(), expires_at=datetime.now() + timedelta(days=1), trust_level=0.5
), operation="test", payload={}, timestamp=datetime.now()
) for i in range(5)]
detected, alerts = defense.detect(txs)
results["396_race_condition"] = {"attack_result": result, "detected": detected, "alerts": alerts}
print(f" Success: {result['success']}, Detected: {detected}")
# Attack 397
print("\n[Attack 397] Credential Replay Across Protocols...")
bridge = ProtocolBridgeSimulator()
attack = CredentialReplayAttack()
result = attack.execute(bridge)
defense = CredentialReplayDefense(bridge)
test_cred = ProtocolCredential(
protocol=ProtocolType.ETHEREUM, credential_id="test_eth", claims={},
issued_at=datetime.now(), expires_at=datetime.now() + timedelta(days=1), trust_level=0.7
)
defense.detect(test_cred, "test_nonce")
detected, alerts = defense.detect(test_cred, "test_nonce")
results["397_credential_replay"] = {"attack_result": result, "detected": detected, "alerts": alerts}
print(f" Success: {result['success']}, Detected: {detected}")
# Attack 398
print("\n[Attack 398] Error Message Information Leak...")
bridge = ProtocolBridgeSimulator()
attack = ErrorLeakAttack()
result = attack.execute(bridge)
defense = ErrorLeakDefense(bridge)
for i in range(6):
defense.detect("probe_attacker", f"error_{i}")
detected, alerts = defense.detect("probe_attacker", "final")
results["398_error_leak"] = {"attack_result": result, "detected": detected, "alerts": alerts}
print(f" Success: {result['success']}, Detected: {detected}")
# Attack 399
print("\n[Attack 399] Bridge State Desync...")
bridge = ProtocolBridgeSimulator()
attack = BridgeDesyncAttack()
result = attack.execute(bridge)
defense = BridgeDesyncDefense(bridge)
test_tx = BridgeTransaction(
tx_id="desync_test", source_protocol=ProtocolType.WEB4_NATIVE, target_protocol=ProtocolType.ETHEREUM,
source_credential=ProtocolCredential(
protocol=ProtocolType.WEB4_NATIVE, credential_id="test", claims={},
issued_at=datetime.now(), expires_at=datetime.now() + timedelta(days=1), trust_level=0.5
), operation="test", payload={}, timestamp=datetime.now() - timedelta(minutes=10)
)
defense.pending_confirmations["desync_test"] = test_tx
detected, alerts = defense.detect(test_tx)
results["399_bridge_desync"] = {"attack_result": result, "detected": detected, "alerts": alerts}
print(f" Success: {result['success']}, Detected: {detected}")
# Attack 400
print("\n[Attack 400] Protocol Downgrade Attack...")
bridge = ProtocolBridgeSimulator()
attack = ProtocolDowngradeAttack()
result = attack.execute(bridge)
defense = ProtocolDowngradeDefense(bridge)
test_tx = BridgeTransaction(
tx_id="downgrade_test", source_protocol=ProtocolType.ACT_CHAIN, target_protocol=ProtocolType.WEB4_NATIVE,
source_credential=ProtocolCredential(
protocol=ProtocolType.ACT_CHAIN, credential_id="test", claims={"version": "0.5"},
issued_at=datetime.now(), expires_at=datetime.now() + timedelta(days=1), trust_level=0.5
), operation="test", payload={"compatibility_mode": "legacy"}, timestamp=datetime.now()
)
detected, alerts = defense.detect(test_tx)
results["400_protocol_downgrade"] = {"attack_result": result, "detected": detected, "alerts": alerts}
print(f" Success: {result['success']}, Detected: {detected}")
# Summary
print("\n" + "=" * 70)
print("TRACK FX SUMMARY")
print("=" * 70)
total_attacks = 6
attacks_detected = sum(1 for r in results.values() if r.get("detected", False))
detection_rate = attacks_detected / total_attacks * 100
print(f"Total Attacks: {total_attacks}")
print(f"Attacks Detected: {attacks_detected}")
print(f"Detection Rate: {detection_rate:.1f}%")
print("\n--- Key Insight ---")
print("Cross-protocol bridges are critical attack surfaces.")
print("Trust translation, timing, and protocol differences create")
print("opportunities for inflation, replay, and state desync attacks.")
results["summary"] = {"total_attacks": total_attacks, "attacks_detected": attacks_detected, "detection_rate": detection_rate}
return results
if __name__ == "__main__":
results = run_track_fx_simulations()