The LLMOracleCoordinator's validation system is vulnerable to manipulation by colluding malicious validators. Due to the permissionless nature of validator registration and a statistical scoring mechanism that can be gamed, malicious actors can unfairly penalize honest generators while earning validation rewards.
The vulnerability exists in the LLMOracleRegistry and LLMOracleCoordinator due to three key issues:
Permissionless validator registration:
No removal mechanism for malicious validators:
Once registered, validators cannot be removed even if malicious behavior is detected
They can continue participating as long as they maintain their stake
Exploitable score aggregation:
High. The vulnerability can result in:
Financial losses for honest generators who don't get paid despite good work
Draining of protocol funds through validator rewards to malicious actors
Degradation of oracle service quality
Loss of protocol credibility and trust
Wasted gas fees for honest participants
High. The attack:
Requires no special permissions or complex setup
Only needs sufficient funds to stake as validators
Can be executed by a small group of colluding validators
Has no detection or prevention mechanisms
Can be repeated indefinitely
A malicious actor can profit by controlling both validators and generators to drain funds from the protocol by:
Suppressing honest generator scores
Inflating their own generator's scores
Collecting both generator and validator fees unfairly
If:
Generator fee = 100 USDC
Validator fee = 50 USDC
Then attacker profits:
The attack can be repeated on every task since there's no way to remove malicious validators once they're registered.
This kills the protocol because:
Honest participants lose money and leave
Protocol pays for low quality work
Reputation system gets corrupted
Short-term fixes:
Implement validator permissioning:
Add validator removal capability:
Long-term improvements:
Integrate with EigenLayer AVS for improved validator security
Implement a reputation system for validators
Add minimum score requirements and score variance checks
Consider multiple rounds of validation
Implement economic penalties for provably malicious behavior
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