How much was lost in the Fake EigenLayer hack?

The Fake EigenLayer hack resulted in $405K in losses on March 17, 2024.

What attack technique was used in the Fake EigenLayer exploit?

The Fake 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.

Fake EigenLayer Hack

TOTAL LOST $405K

Low Mar 17, 2024 Rugpull

Affected Chain 2024 Incident surface

Recovered - No recovery reported

All-Time Rank #1066 By amount stolen

Protocol Type Exit Scam/Rugpull Target category

Incident Overview

Quick Summary

Fake EigenLayer was rug-pulled by the deployer with a loss of about 104 ETH (405k USD)

Details of the Exploit

The fake token deployer performed an exit scam via token dumping on the DEX (Uniswap). Broken supply and overprivileged owner led to losses of about 104 ETH (405k USD).

Block Data Reference

Scammer:

https://etherscan.io/address/0xde68f30b…fc30aa

Sell tx:

https://etherscan.io/tx/0xfc3ac23b…71cc6b

Incident Report

Protocol / Project Fake EigenLayer

Date of Incident March 17, 2024

Attack Technique Rugpull

Classification Token

Primary Source View Post-Mortem

Protocol Information

Protocol Type Exit Scam/Rugpull

Affected Token EigenLayer

Official Website www.agentlayer.xyz

Protocol Twitter/X @Agent_Layer

Team Anonymous

Source Code Unverified

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 Fake 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 Fake EigenLayer, these are the critical security checks that could have prevented this incident (March 2024).

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.

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Sources & References

01
Source 1 https://twitter.com/PeckShieldAlert/status/1768464292888875368

Threat Assessment

Severity Level

LOW

Attack Vector Rugpull
Root Cause Token
Year 2024

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