HLG Hack

TOTAL LOST $61K
Low Rugpull

Summarize with AI

Affected Chain 2022 Incident surface
Recovered - No recovery reported
All-Time Rank #1675 By amount stolen
Protocol Type Exit Scam/Rugpull Target category

Incident Overview

HLG token was rugpulled. The initial token holder removed liquidity and made a profit of 60,785 $USD.

HLD is a BEP20 token trading on PancakeSwap. The initial token holder removed liquidity for 60,785 $USD. The funds were transferred to several EOA addresses.

Scammer address:

https://bscscan.com/address/0x5f48c32c…6c9e3f

Liquidity removal transaction:

https://bscscan.com/tx/0xa8cf30a1…e16534

Incident Report

Protocol / Project HLG
Date of Incident
Attack Technique Rugpull
Classification Token
Primary Source View Post-Mortem

Protocol Information

Protocol Type Exit Scam/Rugpull
Affected Token HLG
Team Anonymous
Source Code Verified On-Chain

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 HLG'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 HLG, these are the critical security checks that could have prevented this incident (October 2022).

  • 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

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Sources & References

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