Arbitrage Robot Token Hack
Incident Overview
The Arbitrage Robot Token project's token $RBTR price dropped by over 96% after the Staking contract was exploited.
Arbitrage Robot Token is a platform that provides arbitrage opportunities. The project's Staking contract was hacked because of security issues after a week of deployment. The attacker used a couple of deployed smart contracts with unverified source codes in order to drain all $RBTR tokens in the staking contract.
After stealing the funds, the attacker sold 10,088,644 $RBTR tokens for 472,459 $USD on PancakeSwap which dumped the token price by more than 96%.
Attacker address:
https://bscscan.com/address/0x7d2af4ff…b4eeee
Attacker contracts:
https://bscscan.com/address/0xf44d1c94…723096
https://bscscan.com/address/0x649b692a…d80594
Involved staking contract:
https://bscscan.com/address/0x55f41fde…db7c51
Exploited transaction:
https://bscscan.com/tx/0x673d8fd4…14a051
Swap transaction:
https://bscscan.com/tx/0x7fd773cf…5ec3e6
Incident Report
Protocol Information
Market Context at Time of Hack
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 Arbitrage Robot Token, these are the critical security checks that could have prevented this incident (September 2022).
- Verify all logic paths related to Other 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 TrialSources & References
-
01
Source 1 https://archive.is/r63R6
Learn to Prevent the Next Arbitrage Robot Token
The Arbitrage Robot Token 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.