GMT Hack
Incident Overview
A rug pull has been identified in connection with the $GMT project. The team made away with a profit of $11.8k.
The token creator minted 1.3B $GMT to scammer address (B):
https://bscscan.com/tx/0x93a168c9…c6ba79
The scammer address (C) made a liquidity pool using 500k $GMT tokens and 209 $BNB. Then the tokens were dumped by the scammer address (B), taking a profit of $11,8k: https://bscscan.com/tx/0xe5fca6c2…a703f9
Involved addresses:
- Scammer address (A), token deployer: https://bscscan.com/address/0xe581611d…43dbb5
- Scammer address (B): https://bscscan.com/address/0x732fa169…d3624a
- Scammer address (C): https://bscscan.com/address/0x21075b8d…264eac
Transactions:
- Creating lp: https://bscscan.com/tx/0xac3b8a94…cbe408
- Removing lp: https://bscscan.com/tx/0xe5fca6c2…a703f9
0x81d3ec77438b4e99aa99ba25b1dbc3fea317fe3b0x81d3ec77438b4e99aa99ba25b1dbc3fea317fe3b
Incident Report
Protocol Information
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.
What Auditors Should Check
If you're auditing a protocol with similar architecture to GMT, these are the critical security checks that could have prevented this incident (August 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
Master these auditing techniques with hands-on labs and real exploit scenarios in the Smart Contract Hacking course.
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