mlsanityData to 14 Oct 2026

SoK: Decentralized Finance (DeFi) Attacks

arXiv 2208.13035 ↗First posted 27 Aug 2022cs.CRcited by 28

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Abstract (arXiv)

Within just four years, the blockchain-based Decentralized Finance (DeFi) ecosystem has accumulated a peak total value locked (TVL) of more than 253 billion USD. This surge in DeFi's popularity has, unfortunately, been accompanied by many impactful incidents. According to our data, users, liquidity providers, speculators, and protocol operators suffered a total loss of at least 3.24 billion USD from Apr 30, 2018 to Apr 30, 2022. Given the blockchain's transparency and increasing incident frequency, two questions arise: How can we systematically measure, evaluate, and compare DeFi incidents? How can we learn from past attacks to strengthen DeFi security? In this paper, we introduce a common reference frame to systematically evaluate and compare DeFi incidents, including both attacks and accidents. We investigate 77 academic papers, 30 audit reports, and 181 real-world incidents. Our data reveals several gaps between academia and the practitioners' community. For example, few academic papers address "price oracle attacks" and "permissonless interactions", while our data suggests that they are the two most frequent incident types (15% and 10.5% correspondingly). We also investigate potential defenses, and find that: (i) 103 (56%) of the attacks are not executed atomically, granting a rescue time frame for defenders; (ii) SoTA bytecode similarity analysis can at least detect 31 vulnerable/23 adversarial contracts; and (iii) 33 (15.3%) of the adversaries leak potentially identifiable information by interacting with centralized exchanges.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Aug 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 10; 2026: 12.

28 papers.

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  1. 2024LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoningcited by 59
  2. 2023Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectivescited by 48
  3. 2023Blockchain Large Language Modelscited by 17
  4. 2025AI Agent Smart Contract Exploit Generationcited by 9
  5. 2024Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detectioncited by 4
  6. 2025Detecting Various DeFi Price Manipulations with LLM Reasoningcited by 4
  7. 2025SmartLLM: Smart Contract Auditing using Custom Generative AIcited by 3
  8. 2025Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learningcited by 2
  9. 2026TxRay: Agentic Postmortem of Live Blockchain Attackscited by 2
  10. 2024FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMscited by 1
  11. 2025From Rules to Rewards: Reinforcement Learning for Interest Rate Adjustment in DeFi Lendingcited by 1
  12. 2025Web3 x AI Agents: Landscape, Integrations, and Foundational Challengescited by 1
16 more
  1. 2026Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profilingcited by 1
  2. 2026Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarizationcited by 1
  3. 2026PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Financecited by 1
  4. 2023FRAD: Front-Running Attacks Detection on Ethereum using Ternary Classification Modelcited by 0
  5. 2025Slow is Fast! Dissecting Ethereum's Slow Liquidity Drain Scamscited by 0
  6. 2025SEASONED: Semantic-Enhanced Self-Counterfactual Explainable Detection of Adversarial Exploiter Contractscited by 0
  7. 2025On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigationcited by 0
  8. 2025Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detectioncited by 0
  9. 2026Unlocking the Forecasting Economy: A Suite of Datasets for the Full Lifecycle of Prediction Market: [Experiments & Analysis]cited by 0
  10. 2026Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contractscited by 0
  11. 2026AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction poolingcited by 0
  12. 2026CyberChainBench: Can AI Agents Secure Smart Contracts Against Real-World On-Chain Vulnerabilities?cited by 0
  13. 2026Beyond Detection: Agentic Attack Synthesis and Simulation for Smart Contractscited by 0
  14. 2026Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereumcited by 0
  15. 2026If It Walks Like an Arbitrage: Protocol-Agnostic Detection with Decidable Structural Equivalencecited by 0
  16. 2026DeFiFusion: Combining Transaction Events with Smart Contracts to Detect Price Manipulation Attackscited by 0