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Blog

Why Trust-Minimized Bridges Are Still Too Trustful

An audit of modern bridge architectures reveals critical trust assumptions in data availability, relayers, and upgrade mechanisms that undermine their security claims.

introduction
THE TRUST FALLACY

The Bridge Security Illusion

Current trust-minimized bridges concentrate systemic risk in small, opaque validator sets, creating a false sense of security.

Trust-minimized is not trustless. Bridges like Across and Stargate rely on external validator or oracle committees for message attestation. This shifts trust from a single custodian to a multisig cartel, which is still a centralized failure point vulnerable to collusion or coercion.

Economic security is a mirage. Protocols advertise security based on bonded stake, but slashing is rarely executed. The real security is the social consensus of the validator set, not the crypto-economic guarantees. A 5-of-9 multisig securing billions is a systemic risk.

Light clients are the benchmark. The gold standard for cross-chain trust is a light client verification of the source chain's consensus, as theorized by IBC. Most 'trust-minimized' bridges are optimistic oracles that shortcut this for latency, accepting higher trust assumptions.

Evidence: The Wormhole hack exploited a single validator signature flaw, not a cryptographic break. This proves the security model is the vulnerability. Until bridges verify state transitions directly, their security is an illusion of decentralization.

thesis-statement
THE REALITY CHECK

Thesis: Trust is Compressed, Not Eliminated

Modern bridges concentrate systemic risk into smaller, more critical trust assumptions.

Trust is centralized, not removed. Bridges like Across and Stargate replace a single custodian with a decentralized committee, but the security model still depends on the honesty of that committee's majority. The attack surface shifts from one entity to a smaller, more coordinated group.

Economic security is a fallacy. Protocols often equate staked value with safety, but a 51% attack on a bridge's validators is a binary event. The $325M Wormhole hack proved that a single compromised private key can bypass billions in theoretical economic security.

Light clients are the only trust-minimized path. True minimization requires verifying the source chain's consensus, like IBC or zk-bridges. Every other model, including optimistic verification used by Nomad, introduces a new trust layer that users must implicitly accept.

WHY TRUST-MINIMIZED IS STILL TOO TRUSTFUL

Trust Assumption Audit: Major Bridge Protocols

A first-principles comparison of trust vectors across dominant bridge architectures, quantifying the gap between marketing and reality.

Trust Vector / MetricCanonical (e.g., Arbitrum, Optimism)Liquidity Network (e.g., Across, Hop)Third-Party Validation (e.g., LayerZero, Wormhole)

Native Asset Custody

L1 Smart Contract

Off-Chain Attester Committee

Off-Chain Oracle/Guardian Set

Validator/Oracle Set Size

L1 Validators (1000s)

8 (Across) - 20+ (Hop)

19 (Wormhole) - 100+ (LayerZero Stargate)

Time to Finality for Withdrawal

7 days (Optimistic) or ~1 hr (ZK)

3-5 min (Across)

3-5 min (Wormhole)

Economic Security (TVL/Slashable)

L1 Stake ($ETH) > $100B

Bonded Attester Stake ~$20M (Across)

Off-Chain Reputation, No Slashing

Liveness Assumption Required

Censorship Resistance

L1 Grade

Committee Threshold (e.g., 5/8)

Committee Threshold (e.g., 13/19)

Upgradeability / Admin Key Risk

L1 Governance / 6/9 Multisig

DAO Multisig (e.g., 6/9)

DAO Multisig (e.g., 10/19)

deep-dive
THE DATA

The Data Availability Trap

Trust-minimized bridges fail because they inherit the data availability assumptions of the underlying rollup, creating a single point of failure.

Inherited DA Risk: A bridge like Across or Stargate is only as secure as the rollup's data availability layer. If the rollup's sequencer withholds data, the bridge's fraud proofs are useless.

The L2 Security Illusion: Users assume a bridge secured by Arbitrum inherits its full security. In reality, they only inherit the security of Arbitrum's current data posting to Ethereum, which has a delay.

Evidence: During an L2 sequencer outage, optimistic rollup bridges are paralyzed. Zero-knowledge rollup bridges like zkSync Era's native bridge face similar risks during the multi-hour finality window before state roots are confirmed on Ethereum.

risk-analysis
THE TRUST TRAP

Failure Modes & Attack Vectors

Trust-minimized bridges reduce but rarely eliminate trusted components, creating systemic risk vectors that can be exploited.

01

The Oracle Problem is a Single Point of Failure

Most 'trust-minimized' bridges rely on a small committee or a single oracle to attest to the state of the source chain. This creates a centralized attack surface.\n- Attack Vector: Bribing or compromising the oracle signers to attest to a fraudulent state.\n- Real-World Impact: The Wormhole and Nomad hacks exploited this, resulting in losses of $325M+ and $190M respectively.

1-20
Signer Set
$500M+
Historic Losses
02

Upgradability Keys = Admin Capture Risk

Bridge contracts are often upgradeable via a multi-sig, meaning a small group can unilaterally change the protocol's logic. This is a backdoor that invalidates all other security assumptions.\n- Attack Vector: A malicious or coerced admin can steal all locked funds or censor transactions.\n- Prevalence: The majority of major bridges, including Multichain (before its collapse) and early Polygon PoS, operated with this model, holding billions in TVL hostage to key holders.

5/8
Common Multi-Sig
100%
Funds at Risk
03

Economic Finality vs. State Finality Gaps

Bridges from probabilistic-finality chains (e.g., Ethereum PoW fork risk, Polygon, Avalanche) must define a finality threshold. Choosing a short window for UX opens a reorg attack vector.\n- Attack Vector: An attacker with sufficient hash/stake power can reorganize the source chain after assets are released on the destination.\n- Mitigation Failure: Bridges like Nomad and Ronin used weak or compromised validator sets, failing to properly account for this risk, leading to catastrophic exploits.

~15 mins
Typical Risk Window
34%
Threshold Attack
04

Liquidity Network Reliance (LayerZero, Chainlink CCIP)

Hybrid models like LayerZero rely on independent Executors and Relayers for message delivery, backed by an Oracle. The security model depends on the liveness and honesty of these decentralized but permissioned actors.\n- Attack Vector: Collusion between the Oracle and an Executor allows for message forgery. The security is only as strong as the economic incentives (like Stargate's $STG slashing) and the lack of coordination.\n- Trust Assumption: Shifts from pure code to game theory and the economic isolation of participants.

2-of-2
Collusion Required
$10B+
Secured Value
05

Verifier Complexity Bugs (zk Bridges)

Even cryptographically 'proven' zero-knowledge bridges are only as secure as their circuit code and trusted setup. A bug in the zk-SNARK verifier contract or an error in the circuit logic is a catastrophic single point of failure.\n- Attack Vector: A sophisticated attacker crafts a fraudulent proof that passes the flawed verifier, minting unlimited bridged assets.\n- High Stakes: Projects like Polygon zkEVM and zkSync use complex zk circuits; a bug would undermine the entire trustless promise, with no recourse.

1 Bug
Total Failure
Months/Years
Audit Lag
06

The Solution Spectrum: From Light Clients to Intent-Based

The endgame is eliminating all active trust. This is a spectrum:\n- Light Client Bridges (IBC, Near Rainbow): Validate source chain headers directly. Secure but heavy and slow.\n- Optimistic Verification (Across, Nomad v2): Introduce a fraud-proof window, similar to Optimistic Rollups.\n- Intent-Based & Auctions (UniswapX, CowSwap): Remove the bridge operator entirely; users express a cross-chain intent fulfilled by competing solvers in a decentralized marketplace.

~30 days
Fraud Proof Window
0
Active Trust
counter-argument
THE TRUST FALLACY

The Optimist's Rebuttal (And Why It's Wrong)

The industry's standard for 'trust-minimized' bridges still relies on unacceptable trust assumptions.

Optimists claim multi-sigs suffice. They argue a 5-of-9 council of reputable entities like LayerZero's Oracle/Relayer set or a Stargate DAO is secure enough. This ignores the systemic risk of collusion or coercion, treating a probabilistic failure as an impossibility.

Light client bridges aren't the panacea. Projects like IBC and Near's Rainbow Bridge use on-chain light clients for verification. This shifts trust to the underlying chain's consensus, which for young L2s or high-forks chains like Polygon is still an evolving security assumption.

Economic security is a misnomer. Protocols like Across and Synapse use bonded relayers with slashing. The bond value is the attack cost, not the secure value. A $10M bond securing a $200M daily flow creates a trivial 20x leverage for an attacker, making exploits rational.

Evidence: The exploit record. Over $2.5B has been stolen from bridges since 2022, primarily from these 'trust-minimized' models. The Wormhole and Nomad hacks were not failures of cryptography, but of trusted off-chain verification and human governance.

future-outlook
THE TRUST GAP

The Path to Actually Minimized Trust

Current 'trust-minimized' bridges rely on external assumptions that create systemic risk.

Trust is externalized, not eliminated. Protocols like Across and Stargate advertise trust-minimization but depend on off-chain actors. Their security is a function of an external committee's honesty or a third-party oracle's liveness, creating a single point of failure outside the blockchain's native security model.

The validator set is the vulnerability. The security of a canonical bridge like Polygon's PoS bridge equals its multisig signers. A light client bridge like IBC is only as secure as its underlying chain's consensus. This creates a trust surface that is orders of magnitude larger than the base layer's.

Economic security is a probabilistic promise. Networks like LayerZero and Axelar use delegated proof-of-stake security. A 51% attack on their validator set is economically costly but remains technically possible, making security a game-theoretic assumption rather than a cryptographic guarantee.

Evidence: The Wormhole bridge hack resulted from a compromised guardian private key, validating that a small, centralized validator set is a high-value target. True minimization requires cryptographic proofs, not social or economic ones.

takeaways
THE TRUST TRAP

TL;DR for Protocol Architects

Current 'trust-minimized' bridges still rely on centralized trust assumptions that create systemic risk. Here's where they fail and what's next.

01

The Multi-Sig is a Single Point of Failure

Most bridges like Multichain (formerly Anyswap) and Wormhole rely on a federation of 5-20 signers. This creates a trusted third party with a small attack surface.

  • Compromise Thresholds are often as low as n/2+1.
  • Key Management is opaque, often handled by the founding team.
  • Governance Upgrades can be forced, changing security parameters unilaterally.
~$2B
Wormhole Hack
5/8
Typical Threshold
02

Light Clients Are Theoretically Sound, Practically Stalled

Projects like Cosmos IBC and Near's Rainbow Bridge use light client verification for true crypto-economic security. The bottleneck is cost and latency on EVM chains.

  • Gas Costs for on-chain verification are prohibitive (e.g., ~500k gas for a header).
  • Finality Delays of 10-60 minutes are required for economic security, killing UX.
  • State Growth from storing foreign chain headers is unsustainable long-term.
500k+ gas
Verification Cost
15+ min
Finality Delay
03

Optimistic & ZK Bridges Shift, Don't Eliminate, Trust

New models like Nomad (optimistic) and zkBridge (ZK proofs) improve but introduce new assumptions.

  • Optimistic: Trusts a single honest watcher to submit fraud proofs within a 30-min challenge window.
  • ZK: Trusts the ZK circuit correctness and the data availability of the source chain state.
  • Oracle Networks: Systems like LayerZero and Axelar trust a decentralized oracle/relayer set, which is still an external committee.
30 min
Fraud Window
$190M
Nomad Hack
04

The Path Forward: Intents & Shared Security

The endgame isn't a better bridge, but eliminating the bridge abstraction entirely. This is being pioneered by intent-based architectures and shared security layers.

  • UniswapX: Uses a fill-or-kill auction model; users express an intent, solvers compete to fulfill it across chains without custodial bridges.
  • Chain Abstraction: Projects like Near and Cosmos appchains leverage a shared security hub (e.g., EigenLayer, Celestia) for native cross-chain messaging.
  • Atomicity: The goal is atomic cross-chain composability secured by economic staking, not multisigs.
0
Bridge TVL Risk
~1s
Solver Latency
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Trust-Minimized Bridges Still Have Trust Problems | ChainScore Blog