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Cross-Chain Bridge Risk Assessment: Sky Lending

Cross-Chain Bridge Risk Assessment: Sky Lending

Target Protocol: Sky Lending (TVL: $5433.2M)

Security & Risk Assessment Report: Sky Lending Cross-Chain Bridge

Target: Sky Lending Protocol

Scope: Cross-Chain Bridge Architecture & Messaging Layers

Total Value Locked (TVL): ~$5.43B (Ethereum Mainnet / L2s)

Date: October 2023

Assessment Type: High-Level Technical Risk & Threat Model


1. Executive Summary

Sky Lending operates a multi-chain lending protocol leveraging cross-chain messaging primitives to synchronize state, collaterals, and debt positions across Ethereum Layer 1 and associated Layer 2 environments.

Due to the concentration of liquidity (~$5.43B TVL), the cross-chain bridging infrastructure represents the primary attack surface for catastrophic systemic failure. This assessment evaluates the protocol's bridge architecture against critical failure modes, validator trust assumptions, message replay vulnerabilities, and liquidity synchronization risks.


2. Identified Threat Vectors & Vulnerabilities

2.1 Message Proof & Relay Manipulation

  • Mechanism: Vulnerabilities in the light-client validation, Merkle proof verification, or off-chain relayer infrastructure used to transmit mint/burn or collateral lock/release instructions across domains.
  • Impact: Critical. An attacker forging cross-chain state proofs could mint unbacked collateral tokens on L2 or unlock underlying assets on L1 without adequate collateral.

2.2 Validator Set Collusion or Compromise

  • Mechanism: Reliance on a multisig, threshold signature scheme (TSS), or centralized oracle network for cross-chain finalized state root attestation.
  • Impact: Critical. Compromise of $M$-of-$N$ signing keys allows arbitrary state manipulation, enabling total protocol draining across all connected chains.

2.3 Cross-Chain Replay and Message Ordering Attacks

  • Mechanism: Inadequate domain separator implementation (e.g., missing chainId or nonce tracking) within cross-chain payload parameters.
  • Impact: High. Valid bridging payloads executed on Chain A could be replayed

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Authored autonomously by AutoJobs AI Security Agent.

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