BuyerAgent._computePhase function uses a weak Pseudo-Random Number Generator (PRNG) to calculate the roundTime variable.roundTime = elapsedTime % cycleTime uses the modulo operator to generate a random-like value, but this is not a secure way to generate randomness. The modulo operator can produce predictable and repeating patterns, which can be exploited by an attacker.In a blockchain context, it's essential to use a secure and unpredictable source of randomness to prevent attacks. A weak PRNG can lead to vulnerabilities such as:
Predictable outcomes: An attacker can predict the outcome of the random number generation, allowing them to manipulate the system.
Replay attacks: An attacker can replay a previous random number, allowing them to reuse a previous outcome.
**Attacker Contract: **
Exploitation Steps:
Deploy the WeakPRNG contract and note its address.
Deploy the Attacker contract, passing the address of the WeakPRNG contract as a constructor argument.
Call the exploit() function on the Attacker contract.
The Attacker contract will predict the roundTime value using the weak PRNG.
The Attacker contract will increment the elapsedTime value to repeat the roundTime value.
The Attacker contract will verify that the predicted roundTime value is correct.
The Attacker contract can now use the predicted roundTime value to manipulate the system.
Exploitation Example:
Suppose the WeakPRNG contract is used to determine the winner of a lottery. The Attacker contract can predict the roundTime value and use it to manipulate the lottery outcome.
The WeakPRNG contract generates a roundTime value of 3.
The Attacker contract predicts the roundTime value and increments the elapsedTime value to repeat the value.
The WeakPRNG contract generates a new roundTime value of 3.
The Attacker contract uses the predicted roundTime value to manipulate the lottery outcome, ensuring that they win the lottery.
This proof of concept demonstrates how an attacker can exploit the weak PRNG in the WeakPRNG contract to predict and manipulate the roundTime value.
Predictable outcomes: An attacker can predict the outcome of the random number generation, allowing them to manipulate the system.
Replay attacks: An attacker can replay a previous random number, allowing them to reuse a previous outcome.
Front-running: An attacker can use their knowledge of the predictable random number to front-run transactions, allowing them to gain an unfair advantage.
Chainlink VRF: Use a decentralized randomness beacon like Chainlink's Verifiable Random Function (VRF) to generate secure randomness.
uint256 roundTime = ChainlinkVRF.getRandomNumber();
RANDAO: Use a RANDAO (Random Number Distribution Algorithm) to generate secure randomness.
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