XChainWatcher: Monitoring and Identifying Attacks in Cross-Chain Bridges
Andr\'e Augusto, Rafael Belchior, Jonas Pfannschmidt, Andr\'e Vasconcelos, Miguel Correia

TL;DR
XChainWatcher is a modular anomaly detection system for cross-chain bridges that identifies attacks and irregularities, helping to prevent significant financial losses in blockchain interoperability.
Contribution
It introduces a logic-driven, extensible framework for monitoring cross-chain bridges, with the first open dataset of cross-chain transactions and analysis of real attack cases.
Findings
Successfully identified transactions causing $611M and $190M losses
Detected 37 suspicious cross-chain transactions and failed exploit attempts
Provided an open dataset of 81,000 cross-chain transactions totaling over $4.2B
Abstract
Cross-chain bridges are a type of middleware for blockchain interoperability that supports the transfer of assets and data across blockchains. However, several of these bridges have vulnerabilities that have caused 3.2 billion dollars in losses since May 2021. Some studies have revealed the existence of these vulnerabilities, but there is little quantitative research available, and there are no safeguard mechanisms to protect bridges from such attacks. Furthermore, no studies are available on the practices of cross-chain bridges that can cause financial losses. We propose \toolName~(Cross-Chain Watcher), a modular and extensible logic-driven anomaly detector for cross-chain bridges. It operates in three main phases: (1) decoding events and transactions from multiple blockchains, (2) building logic relations from the extracted data, and (3) evaluating these relations against a set of…
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Taxonomy
TopicsInformation and Cyber Security · Network Security and Intrusion Detection · Smart Grid Security and Resilience
