HackerPapers

arXiv:2111.08893cs.CR

Understanding Security Issues in the NFT Ecosystem

Dipanjan Das, Priyanka Bose, Nicola Ruaro, Christopher Kruegel, Giovanni Vigna

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

Non-Fungible Tokens (NFTs) have emerged as a way to collect digital art as well as an investment vehicle. Despite having been popularized only recently, NFT markets have witnessed several high-profile (and high-value) asset sales and a tremendous growth in trading volumes over the last year. Unfortunately, these marketplaces have not yet received much security scrutiny. Instead, most academic research has focused on attacks against decentralized finance (DeFi) protocols and automated techniques to detect smart contract vulnerabilities. To the best of our knowledge, we are the first to study the market dynamics and security issues of the multi-billion dollar NFT ecosystem. In this paper, we first present a systematic overview of how the NFT ecosystem works, and we identify three major actors: marketplaces, external entities, and users. We perform an in-depth analysis of the top 8 marketplaces (ranked by transaction volume) to discover potential issues associated with such marketplaces. Many of these issues can lead to substantial financial losses. We also collected a large amount of asset and event data pertaining to the NFTs being traded in the examined marketplaces. We automatically analyze this data to understand how the entities external to the blockchain are able to interfere with NFT markets, leading to serious consequences, and quantify the malicious trading behaviors carried out by users under the cloak of anonymity.

arXiv comments
Journal reference
ACM Conference on Computer and Communications Security (CCS), 2022
DOI
Subjects
cs.CRCryptography and Security

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Jun 2022 to Jun 2022. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.