How much was lost in the EigenLayer hack?

The EigenLayer hack resulted in $821K in losses on October 02, 2023.

What attack technique was used in the EigenLayer exploit?

The EigenLayer exploit utilized Rugpull. Understanding this attack vector is critical for smart contract auditors and developers building secure DeFi protocols.

How can developers prevent similar smart contract attacks?

Preventing smart contract hacks requires a combination of secure coding practices, thorough security audits, and understanding common attack vectors like reentrancy, oracle manipulation, and access control flaws. Smart Contract Hacking (SCH) provides hands-on training to help developers and auditors identify and prevent vulnerabilities before deployment.

EigenLayer Hack

TOTAL LOST $821K

Low Oct 02, 2023 Rugpull

Affected Chain 2023 Incident surface

Recovered - No recovery reported

All-Time Rank #873 By amount stolen

Protocol Type Exit Scam/Rugpull Target category

Incident Overview

Quick Summary

EigenLayer token project exit scammed via rugpull, removing liquidity worth 821,232 USD (3,802 BNB) from PancakeSwap.

Details of the Exploit

EigenLayer is a copycat BEP20 token trading on PancakeSwap, and can't be confused with the original project. The deployer started removing liquidity from the LP pool in twenty-seven transactions between Sep 14 and Oct 2, 2023, totaling 3,802 BNB, which is approximately 821,232 USD. The stolen funds were then transferred to another EOA and distributed among multiple addresses.

Block Data Reference

Deployer Address:

https://bscscan.com/address/0x12296f35…270E85

Scammer Addresses:

https://bscscan.com/address/0xF6Da79E6…A360ba

https://bscscan.com/address/0xAae3DA50…4Dacd1

Liquidity Removal Transactions:

https://bscscan.com/tx/0xec9b2a71…a59b53

https://bscscan.com/tx/0xced29999…efc742

https://bscscan.com/tx/0x014171b1…94f453

Funds Holder as of Oct 2:

https://bscscan.com/address/0x1F9d30Cd…3C384d

Incident Report

Protocol / Project EigenLayer

Date of Incident October 02, 2023

Attack Technique Rugpull

Classification Token

Primary Source View Post-Mortem

Protocol Information

Protocol Type Exit Scam/Rugpull

Affected Token EL

Official Website www.agentlayer.xyz

Protocol Twitter/X @Agent_Layer

Team Anonymous

Source Code Verified On-Chain

Market Context at Time of Hack

Token Categories

AI & Big Data Base Ecosystem AI Agents

Protocol Links

GitHub Discord

What the Attacker Needed to Succeed

Understanding the prerequisites for this type of attack helps auditors identify protocols that are most at risk and helps developers build better defenses.

Technical Knowledge Deep understanding of rugpull and Solidity and EVM internals

Capital Required Seed capital to cover gas and initial position setup

On-Chain Access Ability to interact with smart contracts and deploy a custom exploit contract

Protocol Analysis Identification of the exploitable vulnerability in EigenLayer's contract logic - root cause: token

Execution Speed Precise transaction ordering and timing to exploit the vulnerability within a single atomic block

Obfuscation Plan A strategy to launder and move stolen funds - typically through mixers, cross-chain bridges, or decentralized DEX swaps to resist tracing

What Auditors Should Check

Could this have been caught in audit? Hard to catch — private key / OpSec failures are outside smart contract audit scope

If you're auditing a protocol with similar architecture to EigenLayer, these are the critical security checks that could have prevented this incident (October 2023).

Verify all logic paths related to Rugpull are guarded by proper access controls and input validation
Review privileged functions (owner, admin, governance) for potential abuse vectors - centralization risks should be documented and bounded with timelocks or multi-sigs

Master these auditing techniques with hands-on labs and real exploit scenarios in the Smart Contract Hacking course.

Free Trial

Sources & References

01
Source 1 https://twitter.com/CertiKAlert/status/1708569119086215323

Threat Assessment

Severity Level

LOW

Attack Vector Rugpull
Root Cause Token
Year 2023

Learn to Prevent the Next EigenLayer

The EigenLayer hack is one of many attacks that skilled auditors are trained to detect before deployment. Master real exploit patterns and defense techniques with hands-on Web3 security training.

Start Free Trial Browse Attack Library