Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 88 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 15 tok/s
GPT-5 High 16 tok/s Pro
GPT-4o 105 tok/s
GPT OSS 120B 471 tok/s Pro
Kimi K2 202 tok/s Pro
2000 character limit reached

XChainWatcher: Monitoring and Identifying Attacks in Cross-Chain Bridges (2410.02029v2)

Published 2 Oct 2024 in cs.CR and cs.DC

Abstract: Cross-chain bridges are widely used blockchain interoperability mechanisms. 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 little quantitative research is available, and there are no safeguard mechanisms to protect bridges from such attacks. We propose XChainWatcher(Cross-Chain Watcher), the first mechanism for monitoring bridges and detecting attacks against them in real time. XChainWatcher relies on a cross-chain model powered by a Datalog engine, designed to be pluggable into any cross-chain bridge. Analyzing data from the Ronin and Nomad bridges, we successfully identified the attacks that led to losses of \$611M and \$190M (USD), respectively. XChainWatcher uncovers not only successful attacks but also reveals unintended behavior, such as 37 cross-chain transactions (cctx) that these bridges should not have accepted, failed attempts to exploit Nomad, over \$7.8M locked on one chain but never released on Ethereum, and \$200K lost due to inadequate interaction with bridges. We provide the first open-source dataset of 81,000 cctxs across three blockchains, capturing more than \$4.2B in token transfers.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube